WEBVTT

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JUDY HOYT: OK, so there
are two handouts for today

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that are in the back there.

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There is the lecture
notes and handout 8,

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and also, problem set number
2, or homework number 2

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is going out today.

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Your homework 1s are graded, and
I'll have them back next time.

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So this handout is a
fairly long discussion.

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There's two major areas I want
to cover in today's lecture.

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I want to finish up chapter 4.

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There was a section
in chapter 4 we

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didn't get to talk about yet,
which is about characterizing.

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We talked all about
impurities and how they

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can be issues and problems.

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I'm going to talk about how we
characterize those impurities.

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And then we're going
to skip chapter 5.

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Remember, chapter 5
is on lithography.

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And we have a whole
one-semester course here

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at MIT on lithography,
Hank Smith's class.

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I'm going to skip that.

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You're welcome to
read it, of course.

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But if you don't, you should go
ahead and start reading chapter

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6 on thermal oxidation.

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I'm going to start that.

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In fact, the next three
lectures are going

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to be on thermal oxidation.

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And I've listed here--

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I won't go through them all.

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You can read them later--

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some of the major
topics from chapter 6

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that we're going to discuss.

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So let's go on to talk about--
finish up the characterization

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on slide number 2.

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This slide is
supposed to give you

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an idea of the different
surface analysis

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techniques and their
detection sensitivity,

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how low of a level of an
impurity can they detect?

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And I apologize
right off the bat

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because not all of these
acronyms are defined.

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And it's hard when
you haven't seen these

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before to see all
these ridiculous

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looking acronyms,
Auger, [? OAES. ?]

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We're going to talk about
Auger in this lecture.

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Raman, FTIR, we'll talk
about a few of these.

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These are techniques
you can see just

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based on where they lie
on this vertical bar.

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The vertical bar is atoms
per cubic centimeter.

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So here, 100% would
be 5 [INAUDIBLE] 22.

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That's 100% of silicon
lattice atomic density.

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If you want to measure an
impurity on the level of 1

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to 0.1 atomic percent, that
level, you would use Auger,

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or [? ESCA, or ?] one of
these types of techniques.

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Most of the time that's not
going to be nearly adequate.

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It depends on what
you're making.

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But we talked about needing
to know impurity levels much,

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much lower than that in the
10 to the 10th or so atoms

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per square.

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This is if you integrate
over some depth, or 10

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to the 15th per cubic
centimeter on the left here.

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So the types of
techniques people

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use for that are listed here
in this lower shaded bar.

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X-ray fluorescence, which we'll
talk about and surface SIMS,

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these are the two
most common techniques

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for measuring impurities.

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And you can see they measure
them down to the something

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like tens of parts
per billion range.

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So those are some of the
options available to us.

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Next slide, on slide 3,
gives you a rough estimate

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of the depth of
analysis, the depth

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from the surface of some
of these techniques.

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And I've circled the
ones that will be

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of interest for this lecture.

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So X-ray fluorescence, which
is the acronym is TXRF,

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it's samples typically
the near-surface region

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depending on how it's done.

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But it's in the near surface
region, say, the top 100

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angstroms or so, roughly.

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Maybe it's a little
less than that.

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There's a special
technique called

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surface SIMS, secondary
ion mass spectrometry.

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We'll talk about that.

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That's designed
to, again, sample

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just the top 100 angstroms,
just the surface region.

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And then there's a standard
SIMS or depth-profiling SIMS.

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You can profile pretty much
as deep as you need to.

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Typically, you profile here in
the 1,000 to 10,000 angstroms

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or 0.1 micron to 1 micron.

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And this is a depth
profiling type of SIMS.

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Whereas, this measures surface
SIMS, as the name suggests,

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measures just what's in the
very near-surface region.

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So those are some those three
are three important techniques.

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Slide 4 is meant to
be a generic view--

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and I took this
out of your text--

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of how surface contaminants
are measured in silicon wafers.

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A lot of the time,
what you're doing

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is you're taking a
silicon wafer, which

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is shown schematically
on the bottom,

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with some surface
layer, however deep it

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might be, with some
contamination level in it.

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And we interact that surface
with some kind of beam.

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It could be an incident electron
beam, as shown on the left.

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And we look at what comes off.

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It could be an incident X-ray
beam or an incident ion beam,

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as in Rutherford
backscattering or SIMS.

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So a lot of these-- these
are beam techniques,

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where we interact.

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We shoot a beam
into the surface.

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It has some energetic
interaction.

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Something comes off.

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Could be an X-ray, could be
an electron, could be an ion.

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And we analyze what comes off.

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That's the basic idea,
very schematically.

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Let's go on to
slide 5, and slide 5

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is about what happens when we
bombard the surface of silicon

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with electrons.

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And what it shows
very schematically

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is a plot on the vertical axis
of the number of electrons

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coming off as a function
of their energy.

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And you can see
various humps here.

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At very low energies,
there are a large number

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of electrons coming off.

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These are called
secondary electrons.

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Maybe they're in the 5 eV range.

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These are the electrons
that are coming off

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that are forming images if you
look at a scanning electron

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micrograph.

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I've shown a couple of
scanning SEM micrographs.

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In fact, last time we had
that gettering picture

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with all those
little dots in it.

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And you can see
throughout the wafer,

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see all those dots which
were the oxygen precipitates.

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That was a scanning
electron micrograph.

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So that was looking at
these secondary electrons.

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At the very highest energies
are backscattered electrons.

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Basically, the incoming ones
just bounce off the atoms

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and get reflected back with
some energy similar to what

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you shot the electron in.

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They don't tell you much--

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neither the lowest energies
or the highest ones

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tell you much about
what you bounced off of.

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But there is a region
of intermediate energies

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here called the Auger electrons,
which is shown in here--

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there aren't as
many of them-- that

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give very specific information
about the species that they hit

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or that they interacted
with because they interact

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with the atoms in the substrate
with the core electrons

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of those atoms that are more
tightly bound to the nucleus.

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So here, at these
intermediate energies

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is where we can get
some information

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about what it was that the
electron interacted with,

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what element.

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So we go to slide 6.

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Again, this is a very
schematic illustration

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of the energy levels involved
in this type of process.

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So let's just go
through the schematic.

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What's shown up here
in the upper center dot

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is a primary electron,
which is this black dot.

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It's coming in, and it's
interacting-- in energy space,

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it's interacting with
an atom, let's say,

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down here that has a
certain energy level.

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And what happens is
basically it knocks--

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these are the energy
levels, this Ek, El1, El2,

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these are meant to
represent the core energy

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levels of the electrons that
are bound closer to the nucleus

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in the core.

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We've been talking all
about valence electrons

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up here in the valence band
and electrons in the conduction

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band.

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It doesn't interact
with those, but it

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goes into the atomic
core and interacts

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with the electrons
that are there.

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OK, and basically, it kicks
out one of these core level

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electrons from this
Ek energy, where this

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becomes a secondary electron.

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Now you have an
open energy level.

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And one of the higher level
electrons, this one at El,

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can drop down into that level.

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And the spacing of this level
between the L1 and the K level

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is very much a characteristic
spacing of the atom.

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Depends on the element, OK?

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So you can imagine that this
energy here, this transition

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energy is very
specific to the atom.

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That transition energy is
then, in this particular case,

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given off as kinetic energy
to an ejected electron, which

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is called an Auger electron.

00:08:19.710 --> 00:08:21.780 align:middle line:84%
That ejected electron
then has an energy

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that's characteristic
of this level spacing.

00:08:24.030 --> 00:08:27.030 align:middle line:84%
So by measuring its
the energy spectrum

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of those outgoing
Auger electrons,

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it tells me something
about the atoms

00:08:31.410 --> 00:08:34.278 align:middle line:84%
that were in the substrate,
what those spacings were.

00:08:34.278 --> 00:08:36.570 align:middle line:84%
And as long as you know you
have a fingerprint for what

00:08:36.570 --> 00:08:39.150 align:middle line:84%
those spacings should be,
you can tell what atom

00:08:39.150 --> 00:08:40.590 align:middle line:90%
the electron interacted with.

00:08:40.590 --> 00:08:44.670 align:middle line:84%
So that's the Auger
electron spectroscopy.

00:08:44.670 --> 00:08:46.140 align:middle line:84%
There's another
way to do it where,

00:08:46.140 --> 00:08:50.370 align:middle line:84%
instead of releasing an
electron, an Auger electron,

00:08:50.370 --> 00:08:52.320 align:middle line:84%
you may actually
release an X-ray.

00:08:52.320 --> 00:08:55.800 align:middle line:84%
This energy spacing
between El1 and Ek

00:08:55.800 --> 00:08:58.800 align:middle line:84%
can be given off
to eject an X-ray.

00:08:58.800 --> 00:09:01.380 align:middle line:84%
So you may also look
for heavier elements

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at the X-rays coming off.

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And that will give you some
species-specific information.

00:09:05.830 --> 00:09:07.830 align:middle line:84%
So you're get the
qualitative idea here.

00:09:07.830 --> 00:09:09.480 align:middle line:84%
I'm putting in some
energetic particle.

00:09:09.480 --> 00:09:13.930 align:middle line:84%
I watch transitions that
happen in the core levels.

00:09:13.930 --> 00:09:15.840 align:middle line:84%
And then I look
at what comes off,

00:09:15.840 --> 00:09:19.260 align:middle line:84%
either another
electron or an X-ray.

00:09:19.260 --> 00:09:24.430 align:middle line:84%
So that was an incident in
that last slide, slide 6.

00:09:24.430 --> 00:09:28.560 align:middle line:84%
The incident particle
was an electron.

00:09:28.560 --> 00:09:31.050 align:middle line:84%
You don't have to use
electrons, as it turns out.

00:09:31.050 --> 00:09:33.450 align:middle line:84%
You just need something
that can bring some energy

00:09:33.450 --> 00:09:36.360 align:middle line:90%
into the atomic core.

00:09:36.360 --> 00:09:39.690 align:middle line:84%
So here on slide 7, you can
imagine the incident energy

00:09:39.690 --> 00:09:41.158 align:middle line:90%
might be provided by an X-ray.

00:09:41.158 --> 00:09:42.450 align:middle line:90%
Doesn't have to be an electron.

00:09:42.450 --> 00:09:46.460 align:middle line:84%
So you may bombard the
surface with X-rays instead.

00:09:46.460 --> 00:09:49.880 align:middle line:84%
And there are two
different categories here,

00:09:49.880 --> 00:09:53.270 align:middle line:84%
XPS, X-ray photoelectron
spectroscopy,

00:09:53.270 --> 00:09:56.570 align:middle line:84%
where you bring an
X-ray in that provides

00:09:56.570 --> 00:09:58.520 align:middle line:84%
the energy and an
electron comes out,

00:09:58.520 --> 00:10:03.950 align:middle line:84%
or X-ray fluorescence,
where you bring an X-ray in,

00:10:03.950 --> 00:10:06.560 align:middle line:84%
and another X-ray
is emitted with

00:10:06.560 --> 00:10:10.480 align:middle line:90%
a characteristic wavelength.

00:10:10.480 --> 00:10:13.510 align:middle line:84%
And what's happening
here in this XRF,

00:10:13.510 --> 00:10:16.240 align:middle line:84%
this X-ray fluorescence, is
pictured schematically here

00:10:16.240 --> 00:10:18.850 align:middle line:84%
on the left for
an element that's

00:10:18.850 --> 00:10:25.150 align:middle line:84%
relatively light, has fewer
shells in its electrons,

00:10:25.150 --> 00:10:26.740 align:middle line:84%
in its core levels,
and one that's

00:10:26.740 --> 00:10:30.620 align:middle line:84%
relatively heavy on the right,
which has lots of core levels.

00:10:30.620 --> 00:10:35.050 align:middle line:84%
So you can imagine an
incident X-ray coming in.

00:10:35.050 --> 00:10:38.510 align:middle line:90%
It's knocking an electron out.

00:10:38.510 --> 00:10:41.620 align:middle line:84%
And you get a transition
energy between two core levels.

00:10:41.620 --> 00:10:44.590 align:middle line:84%
And what comes off
is an electron with--

00:10:44.590 --> 00:10:46.960 align:middle line:84%
an X-ray with some
energy N nu with

00:10:46.960 --> 00:10:48.590 align:middle line:90%
a characteristic wavelength.

00:10:48.590 --> 00:10:50.590 align:middle line:84%
The problem with doing
this with a light element

00:10:50.590 --> 00:10:52.820 align:middle line:84%
is there are too
many electron shells.

00:10:52.820 --> 00:10:57.030 align:middle line:84%
So this process is
not that favored,

00:10:57.030 --> 00:10:59.440 align:middle line:90%
and it becomes difficult to do.

00:10:59.440 --> 00:11:02.080 align:middle line:84%
For heavier elements,
it's much more practical,

00:11:02.080 --> 00:11:05.110 align:middle line:84%
heavier elements being the
transition metals or things

00:11:05.110 --> 00:11:06.820 align:middle line:90%
that are heavy, like silicon.

00:11:06.820 --> 00:11:08.320 align:middle line:84%
There are lots of
these core levels.

00:11:08.320 --> 00:11:09.590 align:middle line:90%
You bring an X-ray in.

00:11:09.590 --> 00:11:12.200 align:middle line:84%
It has a high probability
of interacting, producing

00:11:12.200 --> 00:11:15.030 align:middle line:84%
an X-ray coming out that has
a characteristic spectrum.

00:11:15.030 --> 00:11:18.770 align:middle line:84%
So you see, if you
plot the X-ray density

00:11:18.770 --> 00:11:21.560 align:middle line:84%
or intensity coming out versus
energy, you see these peaks.

00:11:21.560 --> 00:11:24.560 align:middle line:84%
And this spectrum
becomes a fingerprint

00:11:24.560 --> 00:11:31.700 align:middle line:84%
of what elements the
X-ray has interacted with.

00:11:31.700 --> 00:11:36.790 align:middle line:84%
So if we go on to slide 8,
this is a very common technique

00:11:36.790 --> 00:11:40.840 align:middle line:84%
that's used in
semiconductor analysis.

00:11:40.840 --> 00:11:42.610 align:middle line:84%
I'm showing here a
typical, what's called,

00:11:42.610 --> 00:11:46.030 align:middle line:84%
total X-ray fluorescence,
TXRF, the spectrum.

00:11:46.030 --> 00:11:49.510 align:middle line:84%
And the plot shows on
the y-axis the intensity

00:11:49.510 --> 00:11:54.670 align:middle line:84%
of the X-rays coming off in
counts per second, detected

00:11:54.670 --> 00:11:59.120 align:middle line:84%
as a function of the
X-ray energy, so that H nu

00:11:59.120 --> 00:12:01.490 align:middle line:84%
or whatever you want to
call it, that's coming off.

00:12:01.490 --> 00:12:03.140 align:middle line:84%
And again, these
energies are going

00:12:03.140 --> 00:12:06.150 align:middle line:84%
to be characteristic of the
core levels of the atom.

00:12:06.150 --> 00:12:10.015 align:middle line:84%
So next to each peak, the person
who did the spectrum actually

00:12:10.015 --> 00:12:11.390 align:middle line:84%
is familiar enough
that they were

00:12:11.390 --> 00:12:12.680 align:middle line:90%
able to identify the peaks.

00:12:12.680 --> 00:12:16.280 align:middle line:84%
For instance, this peak right
here, little above 2 keV,

00:12:16.280 --> 00:12:17.750 align:middle line:90%
corresponds to chlorine.

00:12:17.750 --> 00:12:20.217 align:middle line:84%
And you can integrate
the area under that peak

00:12:20.217 --> 00:12:21.800 align:middle line:84%
and get a rough
estimate of the amount

00:12:21.800 --> 00:12:24.800 align:middle line:84%
of chlorine atoms
per square centimeter

00:12:24.800 --> 00:12:27.573 align:middle line:90%
that exists on that surface.

00:12:27.573 --> 00:12:29.240 align:middle line:84%
Silicon, of course,
is going to be large

00:12:29.240 --> 00:12:31.250 align:middle line:90%
because it's a silicon surface.

00:12:31.250 --> 00:12:33.020 align:middle line:84%
There's a lot of
chromium on this sample--

00:12:33.020 --> 00:12:34.478 align:middle line:84%
look at the peak
labeled chromium--

00:12:34.478 --> 00:12:35.690 align:middle line:90%
and a fair amount of iron.

00:12:35.690 --> 00:12:38.270 align:middle line:84%
So the nice thing, it
gives you a broad spectrum.

00:12:38.270 --> 00:12:40.670 align:middle line:84%
You can just shoot the
X-ray onto the surface

00:12:40.670 --> 00:12:42.170 align:middle line:90%
in about a 1-centimeter area.

00:12:42.170 --> 00:12:45.830 align:middle line:84%
And you can immediately survey
in the transition metals what's

00:12:45.830 --> 00:12:47.040 align:middle line:90%
on that surface.

00:12:47.040 --> 00:12:50.820 align:middle line:84%
It's very useful and
commonly-used technique.

00:12:50.820 --> 00:12:53.180 align:middle line:90%
So let's go on to slide 9.

00:12:53.180 --> 00:12:56.330 align:middle line:84%
So this TXRF, what are some
of the good things about it?

00:12:56.330 --> 00:12:59.030 align:middle line:84%
Well, I just showed you,
it's a survey technique

00:12:59.030 --> 00:13:01.910 align:middle line:84%
to get a broad idea of
what different elements are

00:13:01.910 --> 00:13:02.880 align:middle line:90%
on the wafer.

00:13:02.880 --> 00:13:04.850 align:middle line:90%
And it can be automated.

00:13:04.850 --> 00:13:06.290 align:middle line:90%
It's reasonably quantitative.

00:13:06.290 --> 00:13:09.810 align:middle line:84%
We can integrate those peaks
and compare them to standards.

00:13:09.810 --> 00:13:11.210 align:middle line:90%
It doesn't destroy the wafer.

00:13:11.210 --> 00:13:14.900 align:middle line:84%
You notice the X-ray just comes
in, interacts, and goes out.

00:13:14.900 --> 00:13:16.610 align:middle line:84%
It's not like I
have to sputter off,

00:13:16.610 --> 00:13:18.350 align:middle line:84%
or I don't even have
to break the wafer.

00:13:18.350 --> 00:13:19.725 align:middle line:84%
You can do it on
an entire wafer.

00:13:19.725 --> 00:13:22.490 align:middle line:84%
They have machines for 12-inch
wafers you can put in there.

00:13:22.490 --> 00:13:23.990 align:middle line:84%
And they'll tell
you what impurities

00:13:23.990 --> 00:13:26.190 align:middle line:90%
are on that wafer surface.

00:13:26.190 --> 00:13:27.380 align:middle line:90%
So that's really nice.

00:13:27.380 --> 00:13:31.130 align:middle line:84%
A weakness, it doesn't
detect low-z elements

00:13:31.130 --> 00:13:34.860 align:middle line:84%
because the physics of--
there aren't enough core level

00:13:34.860 --> 00:13:35.360 align:middle line:90%
shells.

00:13:35.360 --> 00:13:39.140 align:middle line:84%
So aluminum, potassium,
and sodium, both of which

00:13:39.140 --> 00:13:42.570 align:middle line:84%
are very nasty, and
silicon can't be detected.

00:13:42.570 --> 00:13:44.030 align:middle line:90%
So that's a major limitation.

00:13:44.030 --> 00:13:46.580 align:middle line:84%
It doesn't tell you about how
it's distributed in depth.

00:13:46.580 --> 00:13:49.580 align:middle line:84%
It doesn't tell you anything
about the depth distribution.

00:13:49.580 --> 00:13:51.180 align:middle line:90%
And it's pretty big spot.

00:13:51.180 --> 00:13:53.220 align:middle line:84%
About 10 millimeters
is the smallest

00:13:53.220 --> 00:13:55.080 align:middle line:90%
you can focus the beam down.

00:13:55.080 --> 00:13:57.660 align:middle line:84%
So you're looking
at large spots.

00:13:57.660 --> 00:13:58.212 align:middle line:90%
That's OK.

00:13:58.212 --> 00:13:59.670 align:middle line:84%
But if you want to
look, let's say,

00:13:59.670 --> 00:14:02.003 align:middle line:84%
inside an individual device
and see what impurities were

00:14:02.003 --> 00:14:04.260 align:middle line:84%
in a bad device, if
you had a fail device,

00:14:04.260 --> 00:14:06.485 align:middle line:84%
TXRF is not the way to go
because the device isn't

00:14:06.485 --> 00:14:08.860 align:middle line:84%
much bigger than-- it's much
smaller than 10 millimeters.

00:14:08.860 --> 00:14:12.210 align:middle line:84%
That's the whole die on that
wafer being passed around.

00:14:12.210 --> 00:14:14.280 align:middle line:84%
And the surface has to
be specular and polished.

00:14:14.280 --> 00:14:17.520 align:middle line:84%
If the surface is patterned--
like on this wafer here,

00:14:17.520 --> 00:14:20.020 align:middle line:84%
you see some patterns, it's
not perfectly specular-- you're

00:14:20.020 --> 00:14:22.020 align:middle line:84%
going to have a problem
because you're not going

00:14:22.020 --> 00:14:23.320 align:middle line:90%
to get the kind of reflectance.

00:14:23.320 --> 00:14:25.860 align:middle line:84%
So it's typically
done in an area that's

00:14:25.860 --> 00:14:28.650 align:middle line:90%
relatively well polished.

00:14:28.650 --> 00:14:33.030 align:middle line:84%
OK, there is an alternative
technique, which actually

00:14:33.030 --> 00:14:34.200 align:middle line:90%
is quite complementary.

00:14:34.200 --> 00:14:36.990 align:middle line:84%
Where TXRF has
weaknesses, surface SIMS

00:14:36.990 --> 00:14:38.430 align:middle line:90%
has some strengths.

00:14:38.430 --> 00:14:40.620 align:middle line:84%
So people often
use both of them.

00:14:40.620 --> 00:14:43.600 align:middle line:84%
This is an example of
an ion beam technique.

00:14:43.600 --> 00:14:46.380 align:middle line:84%
So instead of bringing in
X-rays, I'm bringing in ions.

00:14:46.380 --> 00:14:49.990 align:middle line:84%
And the ions that come in
are called the primary ions

00:14:49.990 --> 00:14:52.740 align:middle line:90%
or the primary particles.

00:14:52.740 --> 00:14:57.030 align:middle line:84%
The two typical ones to use are
either cesium ions or oxygen

00:14:57.030 --> 00:14:58.530 align:middle line:90%
ions.

00:14:58.530 --> 00:15:01.850 align:middle line:84%
So you have a primary
beam of particles.

00:15:01.850 --> 00:15:03.260 align:middle line:90%
Energy varies.

00:15:03.260 --> 00:15:04.970 align:middle line:90%
This says 10 keV.

00:15:04.970 --> 00:15:08.060 align:middle line:84%
In some cases, you can bring
this energy all the way down

00:15:08.060 --> 00:15:10.640 align:middle line:90%
to 1 keV.

00:15:10.640 --> 00:15:13.040 align:middle line:84%
And there's an advantage in
bringing the primary energy

00:15:13.040 --> 00:15:15.328 align:middle line:90%
down lower.

00:15:15.328 --> 00:15:17.120 align:middle line:84%
What you see is this
primary beam comes in,

00:15:17.120 --> 00:15:18.180 align:middle line:90%
and what does it do?

00:15:18.180 --> 00:15:21.620 align:middle line:84%
Well, it interacts with
the solid, the surface.

00:15:21.620 --> 00:15:24.710 align:middle line:84%
And of course, the atoms,
the ions penetrate in,

00:15:24.710 --> 00:15:27.840 align:middle line:84%
and they get
implanted some depth.

00:15:27.840 --> 00:15:29.360 align:middle line:90%
They penetrate in some depth.

00:15:29.360 --> 00:15:32.130 align:middle line:84%
That depth that they penetrate
depends on their energy.

00:15:32.130 --> 00:15:38.110 align:middle line:84%
So if I'm at 10 keV, I may
go down to 100 angstroms.

00:15:38.110 --> 00:15:42.108 align:middle line:84%
Now, the ions that come off, the
atoms that are sputtered off,

00:15:42.108 --> 00:15:43.150 align:middle line:90%
some of them are ionized.

00:15:43.150 --> 00:15:44.950 align:middle line:84%
And that's what we
analyze in the machine.

00:15:44.950 --> 00:15:46.810 align:middle line:84%
And we measure the
atoms that come off.

00:15:46.810 --> 00:15:48.730 align:middle line:84%
They only come off
the top 10 angstroms

00:15:48.730 --> 00:15:51.478 align:middle line:84%
or so because that's the
escape depth of which they

00:15:51.478 --> 00:15:52.270 align:middle line:90%
have enough energy.

00:15:52.270 --> 00:15:55.850 align:middle line:84%
These other particles
that come off can get out.

00:15:55.850 --> 00:15:56.530 align:middle line:90%
So that's good.

00:15:56.530 --> 00:15:58.090 align:middle line:84%
We can sample the
top 10 angstroms.

00:15:58.090 --> 00:16:01.060 align:middle line:84%
But notice, I disturbed--
in doing the measurement,

00:16:01.060 --> 00:16:02.890 align:middle line:84%
like Heisenberg, in
doing the measurement,

00:16:02.890 --> 00:16:03.970 align:middle line:90%
I disturbed the crystal.

00:16:03.970 --> 00:16:06.550 align:middle line:84%
I shot a bunch of ions
in here, and now they're

00:16:06.550 --> 00:16:08.290 align:middle line:90%
down here at 100 angstroms deep.

00:16:08.290 --> 00:16:10.870 align:middle line:84%
And they knocked things
around in the substrate.

00:16:10.870 --> 00:16:13.210 align:middle line:84%
So whatever atoms were down
there, they disturbed them.

00:16:13.210 --> 00:16:14.168 align:middle line:90%
They moved them around.

00:16:14.168 --> 00:16:16.840 align:middle line:84%
They might have
knocked them in deeper.

00:16:16.840 --> 00:16:19.720 align:middle line:84%
So if I can lower this
primary particle energy down

00:16:19.720 --> 00:16:23.110 align:middle line:84%
to one keV, they won't
be knocked in so deep.

00:16:23.110 --> 00:16:25.220 align:middle line:84%
And they won't disturb
as much of the crystal.

00:16:25.220 --> 00:16:27.700 align:middle line:84%
So you get better depth
resolution in general

00:16:27.700 --> 00:16:31.280 align:middle line:84%
as you bring the primary
ion beam energy down.

00:16:31.280 --> 00:16:33.290 align:middle line:84%
Basic idea is you have
a primary ion beam.

00:16:33.290 --> 00:16:33.800 align:middle line:90%
It comes in.

00:16:33.800 --> 00:16:36.860 align:middle line:84%
It sputters off a certain
number of monolayers

00:16:36.860 --> 00:16:37.940 align:middle line:90%
in a certain period.

00:16:37.940 --> 00:16:40.280 align:middle line:84%
And you measure the ions
that come off the substrate.

00:16:40.280 --> 00:16:44.360 align:middle line:84%
And you count how many ions are
of silicon, how many coming off

00:16:44.360 --> 00:16:47.110 align:middle line:84%
are copper, how many
are gold, whatever.

00:16:47.110 --> 00:16:48.110 align:middle line:90%
And you get an estimate.

00:16:48.110 --> 00:16:50.240 align:middle line:84%
You can get a spectrum
of what's coming off.

00:16:50.240 --> 00:16:51.920 align:middle line:84%
You can't count too
many because it has

00:16:51.920 --> 00:16:53.128 align:middle line:90%
to go through a spectrometer.

00:16:53.128 --> 00:16:56.120 align:middle line:84%
And the spectrometer can only
count so many at one time.

00:16:56.120 --> 00:16:59.300 align:middle line:84%
But that's the basic idea
of secondary ion mass

00:16:59.300 --> 00:17:01.970 align:middle line:90%
spectrometry.

00:17:01.970 --> 00:17:04.210 align:middle line:84%
If we go on to
slide 11, I actually

00:17:04.210 --> 00:17:06.520 align:middle line:90%
took this off the website.

00:17:06.520 --> 00:17:08.079 align:middle line:84%
One of the commercial
places that

00:17:08.079 --> 00:17:12.040 align:middle line:84%
does a lot of this
analysis commercially

00:17:12.040 --> 00:17:13.972 align:middle line:84%
is called Charles
Evans and Associates.

00:17:13.972 --> 00:17:15.430 align:middle line:84%
And if you go on
to their website--

00:17:15.430 --> 00:17:16.513 align:middle line:90%
you just search on Google.

00:17:16.513 --> 00:17:17.780 align:middle line:90%
You can get to their website.

00:17:17.780 --> 00:17:19.197 align:middle line:84%
And they have a
lot of information

00:17:19.197 --> 00:17:20.200 align:middle line:90%
on these techniques.

00:17:20.200 --> 00:17:22.180 align:middle line:84%
I won't go into slide
11 in any great detail.

00:17:22.180 --> 00:17:23.410 align:middle line:90%
I'll let you read it later.

00:17:23.410 --> 00:17:26.829 align:middle line:84%
I just put it up there
to show that companies

00:17:26.829 --> 00:17:29.470 align:middle line:84%
have done a lot of work
in order to quantitatively

00:17:29.470 --> 00:17:31.870 align:middle line:84%
be able to measure
in the top, say,

00:17:31.870 --> 00:17:34.930 align:middle line:84%
10 to 20 nanometers or
100 to 200 angstroms,

00:17:34.930 --> 00:17:39.342 align:middle line:84%
quantitatively measure
the contaminants

00:17:39.342 --> 00:17:40.300 align:middle line:90%
in that surface region.

00:17:40.300 --> 00:17:41.890 align:middle line:84%
It wasn't always
possible to do that.

00:17:41.890 --> 00:17:44.927 align:middle line:84%
But they have nice
techniques to do that now.

00:17:44.927 --> 00:17:47.260 align:middle line:84%
And if you're interested, you
can do more detailed study

00:17:47.260 --> 00:17:49.430 align:middle line:90%
on the web.

00:17:49.430 --> 00:17:52.310 align:middle line:84%
Let's go on to slide
12, which lists

00:17:52.310 --> 00:17:54.830 align:middle line:84%
some of the key features
of surface SIMS.

00:17:54.830 --> 00:17:57.860 align:middle line:84%
Well, it's been approved
by ASTM for measuring

00:17:57.860 --> 00:18:00.560 align:middle line:84%
some of the elements and
exactly some of the elements

00:18:00.560 --> 00:18:02.370 align:middle line:90%
that the TXRF can't measure.

00:18:02.370 --> 00:18:03.290 align:middle line:90%
So that's nice.

00:18:03.290 --> 00:18:05.660 align:middle line:84%
It can quantitatively
measure contamination

00:18:05.660 --> 00:18:09.780 align:middle line:84%
for sodium, aluminum,
potassium, iron,

00:18:09.780 --> 00:18:11.073 align:middle line:90%
on into [INAUDIBLE] silicon.

00:18:11.073 --> 00:18:12.740 align:middle line:84%
And it can measure
lots of the elements.

00:18:12.740 --> 00:18:14.407 align:middle line:84%
But it's actually
been approved as being

00:18:14.407 --> 00:18:16.340 align:middle line:90%
a standardized technique.

00:18:16.340 --> 00:18:17.730 align:middle line:90%
It's quite accurate.

00:18:17.730 --> 00:18:20.300 align:middle line:84%
It can detect many
elements and isotopes.

00:18:20.300 --> 00:18:22.220 align:middle line:84%
But detection
limits is quite low.

00:18:22.220 --> 00:18:23.015 align:middle line:90%
Look at this.

00:18:23.015 --> 00:18:24.890 align:middle line:84%
Look at these numbers,
10 to the eighth to 10

00:18:24.890 --> 00:18:27.860 align:middle line:84%
to the ninth atoms per square
centimeter for most metals.

00:18:27.860 --> 00:18:28.920 align:middle line:90%
Now, why do we care?

00:18:28.920 --> 00:18:30.290 align:middle line:90%
Well, what was on the ITRS?

00:18:30.290 --> 00:18:33.260 align:middle line:84%
When you read your
ITRS in your homework,

00:18:33.260 --> 00:18:35.300 align:middle line:84%
the number of atoms
per square centimeter

00:18:35.300 --> 00:18:39.350 align:middle line:84%
that people were interested in
was what order of magnitude?

00:18:39.350 --> 00:18:40.877 align:middle line:90%
10 on the 10th, exactly.

00:18:40.877 --> 00:18:42.710 align:middle line:84%
So you better be able
to measure below that.

00:18:42.710 --> 00:18:44.600 align:middle line:84%
Otherwise, you can't
even tell what you have.

00:18:44.600 --> 00:18:47.137 align:middle line:84%
So it's right in the
range where we need

00:18:47.137 --> 00:18:48.345 align:middle line:90%
to be measuring for the ITRS.

00:18:48.345 --> 00:18:51.570 align:middle line:90%


00:18:51.570 --> 00:18:54.940 align:middle line:84%
It also can give you information
about the profile in depth.

00:18:54.940 --> 00:18:55.940 align:middle line:90%
And that's kind of nice.

00:18:55.940 --> 00:18:58.490 align:middle line:84%
If you go back, if we
go back a couple slides

00:18:58.490 --> 00:19:02.420 align:middle line:84%
to slide 10, what happens
is you collect these ions

00:19:02.420 --> 00:19:03.620 align:middle line:90%
as they come off.

00:19:03.620 --> 00:19:05.840 align:middle line:84%
And you measure them
as a function of time.

00:19:05.840 --> 00:19:07.400 align:middle line:84%
In the first couple
of seconds, you

00:19:07.400 --> 00:19:09.110 align:middle line:84%
sputter off the
first few monolayers,

00:19:09.110 --> 00:19:10.970 align:middle line:84%
the second few seconds
you sputter deeper.

00:19:10.970 --> 00:19:13.700 align:middle line:84%
So you're constantly
sputtering the surface

00:19:13.700 --> 00:19:15.350 align:middle line:84%
of at a constant
rate, and you're

00:19:15.350 --> 00:19:18.230 align:middle line:84%
measuring what comes off
as a function of time.

00:19:18.230 --> 00:19:21.260 align:middle line:84%
So you know by collecting
this as a function of time

00:19:21.260 --> 00:19:23.970 align:middle line:84%
pretty much exactly what
depth those ions came from.

00:19:23.970 --> 00:19:26.360 align:middle line:84%
So if you want to
sputter a little deeper,

00:19:26.360 --> 00:19:30.220 align:middle line:84%
you can get some information
about the profile.

00:19:30.220 --> 00:19:32.530 align:middle line:84%
And finally, going
back to slide 12,

00:19:32.530 --> 00:19:35.260 align:middle line:84%
it has a relatively
small detection area,

00:19:35.260 --> 00:19:36.790 align:middle line:90%
say, 50 by 50 microns.

00:19:36.790 --> 00:19:39.430 align:middle line:84%
Still not that small compared
to the size of a device.

00:19:39.430 --> 00:19:41.930 align:middle line:84%
But it's better
than 10 millimeters.

00:19:41.930 --> 00:19:43.645 align:middle line:90%
So you can get in--

00:19:43.645 --> 00:19:46.930 align:middle line:84%
you can put special
structures on the mask

00:19:46.930 --> 00:19:50.532 align:middle line:84%
with this kind of size area
that are dedicated for device

00:19:50.532 --> 00:19:52.240 align:middle line:84%
characterization if
you're doing research

00:19:52.240 --> 00:19:55.750 align:middle line:84%
and you want to be able to
measure on the chip, measure

00:19:55.750 --> 00:20:01.280 align:middle line:84%
the characterization,
the contamination.

00:20:01.280 --> 00:20:03.110 align:middle line:90%
Let's go on to slide 13.

00:20:03.110 --> 00:20:05.090 align:middle line:84%
What I'm showing here,
again, I took this off

00:20:05.090 --> 00:20:07.340 align:middle line:84%
of the Charles Evans
and Associates website.

00:20:07.340 --> 00:20:08.937 align:middle line:90%
And it's a little bit dated.

00:20:08.937 --> 00:20:10.520 align:middle line:84%
It's a few years
old, but it gives you

00:20:10.520 --> 00:20:14.990 align:middle line:84%
a rough idea of comparing
total X-ray fluorescence, TXRF,

00:20:14.990 --> 00:20:18.440 align:middle line:84%
in these columns on the
left, to surface SIMS.

00:20:18.440 --> 00:20:21.260 align:middle line:84%
In terms of its detection
limit, so the detection limit

00:20:21.260 --> 00:20:24.440 align:middle line:84%
is the lowest
concentration, which

00:20:24.440 --> 00:20:25.837 align:middle line:90%
either technique can measure.

00:20:25.837 --> 00:20:27.170 align:middle line:90%
And so you can get a rough idea.

00:20:27.170 --> 00:20:31.910 align:middle line:84%
Let's say just for comparison,
let's look at potassium here.

00:20:31.910 --> 00:20:34.070 align:middle line:84%
TXRF doesn't measure
it very well.

00:20:34.070 --> 00:20:36.620 align:middle line:84%
The lowest it can measure
here is about 20 times

00:20:36.620 --> 00:20:40.475 align:middle line:84%
10 to the 10th, or 210 to the
11th, not all that sensitive.

00:20:40.475 --> 00:20:42.350 align:middle line:84%
At least a few years
ago, that was the limit.

00:20:42.350 --> 00:20:43.433 align:middle line:90%
Maybe they've improved it.

00:20:43.433 --> 00:20:46.250 align:middle line:84%
But look at the detection
limit using surface SIMS.

00:20:46.250 --> 00:20:50.540 align:middle line:84%
It's 0.01 times 10 to the 10th
or 10 to the eighth per square,

00:20:50.540 --> 00:20:51.818 align:middle line:90%
much more sensitive.

00:20:51.818 --> 00:20:54.110 align:middle line:84%
So it gives you an idea of
what the detection limit is.

00:20:54.110 --> 00:20:57.770 align:middle line:84%
So if I know that I'm
concerned about potassium,

00:20:57.770 --> 00:20:59.990 align:middle line:84%
I would shoot for
SIMS, not TSRF.

00:20:59.990 --> 00:21:02.280 align:middle line:84%
So it's a nice
quantitative comparison

00:21:02.280 --> 00:21:04.320 align:middle line:90%
for the different elements.

00:21:04.320 --> 00:21:08.340 align:middle line:90%


00:21:08.340 --> 00:21:12.710 align:middle line:84%
So I went through that
relatively quickly, I admit.

00:21:12.710 --> 00:21:14.540 align:middle line:84%
But you can read
in your textbook

00:21:14.540 --> 00:21:16.130 align:middle line:84%
on the characterization
techniques.

00:21:16.130 --> 00:21:17.930 align:middle line:90%
In chapter 4, they're covered.

00:21:17.930 --> 00:21:19.640 align:middle line:84%
And I would also
encourage you, if you're

00:21:19.640 --> 00:21:22.350 align:middle line:84%
doing research in this area
and you need to know more,

00:21:22.350 --> 00:21:23.810 align:middle line:90%
go to the Charles Evans website.

00:21:23.810 --> 00:21:26.060 align:middle line:90%
They are a commercial vendor.

00:21:26.060 --> 00:21:28.160 align:middle line:84%
They do sell characterizations
for a business.

00:21:28.160 --> 00:21:31.220 align:middle line:84%
But they're the world's
experts as a result on that.

00:21:31.220 --> 00:21:34.950 align:middle line:84%
So it's a nice place
to get information.

00:21:34.950 --> 00:21:37.910 align:middle line:84%
So I want to move on now
starting with slide 14

00:21:37.910 --> 00:21:41.750 align:middle line:84%
and talk about oxides
and the IC industry.

00:21:41.750 --> 00:21:44.330 align:middle line:84%
And I think we hinted at this
in the first lecture or two.

00:21:44.330 --> 00:21:46.790 align:middle line:84%
But really, it's
silicon-silicon-dioxide

00:21:46.790 --> 00:21:47.330 align:middle line:90%
interface.

00:21:47.330 --> 00:21:48.950 align:middle line:90%
And it's perfect properties.

00:21:48.950 --> 00:21:52.160 align:middle line:84%
That is the number one
reason why silicon dominates

00:21:52.160 --> 00:21:54.710 align:middle line:84%
integrated circuits today
compared to germanium,

00:21:54.710 --> 00:21:56.210 align:middle line:84%
compared to gallium
arsenide or any

00:21:56.210 --> 00:21:58.100 align:middle line:90%
of the other semiconductors.

00:21:58.100 --> 00:22:00.680 align:middle line:84%
And these are some
properties here listed

00:22:00.680 --> 00:22:02.960 align:middle line:84%
in this bullet list
of silicon dioxide

00:22:02.960 --> 00:22:05.090 align:middle line:90%
that are quite desirable.

00:22:05.090 --> 00:22:09.140 align:middle line:84%
It's easy to selectively
etch silicon dioxide

00:22:09.140 --> 00:22:11.420 align:middle line:90%
and to pattern it.

00:22:11.420 --> 00:22:14.480 align:middle line:84%
It also masks the diffusion of a
lot of common impurities, which

00:22:14.480 --> 00:22:16.070 align:middle line:90%
is a really great thing.

00:22:16.070 --> 00:22:18.440 align:middle line:84%
You can put down
SiO2 and pattern it,

00:22:18.440 --> 00:22:22.940 align:middle line:84%
and some impurities will
not diffuse through it.

00:22:22.940 --> 00:22:24.460 align:middle line:84%
It has great
electrical properties.

00:22:24.460 --> 00:22:27.860 align:middle line:84%
It's a very good insulator, at
least when it's thick enough.

00:22:27.860 --> 00:22:29.860 align:middle line:90%
It has a high breakdown field.

00:22:29.860 --> 00:22:33.240 align:middle line:84%
It tends to passivate
junctions very well.

00:22:33.240 --> 00:22:36.183 align:middle line:84%
It has a very stable and
reproducible interface.

00:22:36.183 --> 00:22:37.600 align:middle line:84%
For any of you who
have ever tried

00:22:37.600 --> 00:22:41.110 align:middle line:84%
to make oxides of this quality
on other semiconductors,

00:22:41.110 --> 00:22:42.970 align:middle line:84%
like germanium or
gallium arsenide,

00:22:42.970 --> 00:22:46.060 align:middle line:84%
you immediately appreciate the
properties of silicon dioxide

00:22:46.060 --> 00:22:48.280 align:middle line:84%
because on those
other semiconductors

00:22:48.280 --> 00:22:53.200 align:middle line:84%
it's 10 PhD thesis to try
to get a decent passivation

00:22:53.200 --> 00:22:54.970 align:middle line:90%
of those semiconductors.

00:22:54.970 --> 00:22:56.350 align:middle line:90%
So silicon is really--

00:22:56.350 --> 00:22:59.770 align:middle line:84%
we were very, very lucky coming
upon silicon-silicon-dioxide

00:22:59.770 --> 00:23:00.490 align:middle line:90%
interface.

00:23:00.490 --> 00:23:03.400 align:middle line:90%
It's really unique.

00:23:03.400 --> 00:23:07.930 align:middle line:84%
On slide 15, this is
a little bit dated,

00:23:07.930 --> 00:23:11.470 align:middle line:84%
but this just shows some of the
uses of silicon dioxide in IC

00:23:11.470 --> 00:23:12.910 align:middle line:90%
technology.

00:23:12.910 --> 00:23:14.230 align:middle line:90%
And there are two columns here.

00:23:14.230 --> 00:23:17.320 align:middle line:84%
On the left, I'm showing
thermally grown oxides,

00:23:17.320 --> 00:23:20.140 align:middle line:84%
and we'll talk
about that process

00:23:20.140 --> 00:23:21.850 align:middle line:90%
in the next few lectures.

00:23:21.850 --> 00:23:24.490 align:middle line:84%
On the right are
deposited oxide layers.

00:23:24.490 --> 00:23:27.070 align:middle line:84%
These are put on
the wafer, rather

00:23:27.070 --> 00:23:28.840 align:middle line:84%
than growing and
consuming the wafer,

00:23:28.840 --> 00:23:31.510 align:middle line:84%
by a process called
chemical vapor deposition.

00:23:31.510 --> 00:23:34.450 align:middle line:84%
And we'll talk about these a
little bit later in the class,

00:23:34.450 --> 00:23:37.760 align:middle line:90%
in the course later on.

00:23:37.760 --> 00:23:40.520 align:middle line:84%
And these deposited
oxides are different.

00:23:40.520 --> 00:23:42.070 align:middle line:84%
They're usually
not used for layers

00:23:42.070 --> 00:23:43.780 align:middle line:90%
below about 10 nanometers.

00:23:43.780 --> 00:23:45.100 align:middle line:90%
It's harder to control.

00:23:45.100 --> 00:23:47.590 align:middle line:84%
And the properties of the
silicon silicon dioxide

00:23:47.590 --> 00:23:50.800 align:middle line:84%
interface for a deposited
as opposed to a grown oxide

00:23:50.800 --> 00:23:53.280 align:middle line:90%
are not nearly as good.

00:23:53.280 --> 00:23:54.280 align:middle line:90%
But you still need them.

00:23:54.280 --> 00:23:56.500 align:middle line:84%
You need them in the back
end between metal layers,

00:23:56.500 --> 00:23:57.887 align:middle line:90%
and you need them to do masking.

00:23:57.887 --> 00:23:58.970 align:middle line:90%
So they're very important.

00:23:58.970 --> 00:24:02.020 align:middle line:84%
But we're going to focus
now on thermal oxides.

00:24:02.020 --> 00:24:04.600 align:middle line:84%
And this just shows
thickness and the type

00:24:04.600 --> 00:24:05.650 align:middle line:90%
of oxides that are used.

00:24:05.650 --> 00:24:08.170 align:middle line:84%
The thickest oxides
are used in the field.

00:24:08.170 --> 00:24:10.790 align:middle line:84%
The field surrounds the
active device region.

00:24:10.790 --> 00:24:15.640 align:middle line:84%
So it isolates
individual devices.

00:24:15.640 --> 00:24:17.830 align:middle line:84%
Thinner oxides,
like 100 angstroms,

00:24:17.830 --> 00:24:19.660 align:middle line:84%
are used for gates
or pad oxides.

00:24:19.660 --> 00:24:23.180 align:middle line:84%
In fact, I put a little arrow
here and showed it going down.

00:24:23.180 --> 00:24:25.900 align:middle line:84%
In fact, gate oxides today in
the highest performance devices

00:24:25.900 --> 00:24:29.290 align:middle line:84%
are quite a lot thinner than
when this textbook was written.

00:24:29.290 --> 00:24:31.370 align:middle line:84%
So they're actually
more like 20 angstroms.

00:24:31.370 --> 00:24:34.990 align:middle line:84%
So they're actually down in
this range of tunneling oxides.

00:24:34.990 --> 00:24:37.000 align:middle line:84%
And then finally, the
very thinnest oxides

00:24:37.000 --> 00:24:39.640 align:middle line:84%
are those chemical oxides
that result from RCA clean,

00:24:39.640 --> 00:24:43.150 align:middle line:84%
as we talked about last time,
that are grown chemically

00:24:43.150 --> 00:24:47.220 align:middle line:90%
rather than in a hot furnace.

00:24:47.220 --> 00:24:48.450 align:middle line:90%
Let's go on to slide 16.

00:24:48.450 --> 00:24:51.720 align:middle line:84%
This is just-- the quality
didn't come out all that well.

00:24:51.720 --> 00:24:54.870 align:middle line:84%
But this is a high-resolution
cross-section transmission

00:24:54.870 --> 00:24:56.430 align:middle line:90%
electron micrograph.

00:24:56.430 --> 00:25:00.900 align:middle line:84%
And what we're looking at here
on the top is polysilicon gate.

00:25:00.900 --> 00:25:04.710 align:middle line:84%
This very thin layer right
here, labeled gate oxide,

00:25:04.710 --> 00:25:07.800 align:middle line:84%
is 1.2 nanometers
thick, or 12 angstroms.

00:25:07.800 --> 00:25:12.000 align:middle line:84%
That's the gate oxide
that's been thermally grown.

00:25:12.000 --> 00:25:14.160 align:middle line:84%
And at the bottom
is the silicon.

00:25:14.160 --> 00:25:17.370 align:middle line:84%
And in fact, it's the formation
of these gate insulators

00:25:17.370 --> 00:25:20.280 align:middle line:84%
that really is probably the
most critical application

00:25:20.280 --> 00:25:23.520 align:middle line:84%
of the process of silicon
thermal oxidation in ICs today.

00:25:23.520 --> 00:25:25.290 align:middle line:84%
We'll talk about
thermal oxidation

00:25:25.290 --> 00:25:29.222 align:middle line:84%
to grow thicker oxides, field
oxide, et cetera, which is,

00:25:29.222 --> 00:25:30.180 align:middle line:90%
of course, of interest.

00:25:30.180 --> 00:25:32.490 align:middle line:84%
But in terms of the most
critical application

00:25:32.490 --> 00:25:34.350 align:middle line:84%
of thermal oxidation,
it's really

00:25:34.350 --> 00:25:38.800 align:middle line:84%
to try to form the
gate insulator.

00:25:38.800 --> 00:25:42.540 align:middle line:84%
However, remember we said
that silicon dioxide is

00:25:42.540 --> 00:25:47.560 align:middle line:84%
a perfect insulator if
we go on to slide 17.

00:25:47.560 --> 00:25:49.030 align:middle line:84%
There's some basic
physics, though,

00:25:49.030 --> 00:25:52.630 align:middle line:84%
that we can't get
around, which has nothing

00:25:52.630 --> 00:25:53.780 align:middle line:90%
to do with silicon dioxide.

00:25:53.780 --> 00:25:56.230 align:middle line:84%
It's just the fact that
there's something called

00:25:56.230 --> 00:25:58.270 align:middle line:90%
quantum mechanical tunneling.

00:25:58.270 --> 00:26:01.270 align:middle line:84%
If you have two regions, one on
the left and one on the right,

00:26:01.270 --> 00:26:02.968 align:middle line:84%
in the middle
there's an insulator.

00:26:02.968 --> 00:26:04.510 align:middle line:84%
There's a barrier,
an energy barrier.

00:26:04.510 --> 00:26:05.927 align:middle line:84%
If you've taken
quantum mechanics,

00:26:05.927 --> 00:26:08.795 align:middle line:84%
you know that when that energy
barrier becomes thin enough,

00:26:08.795 --> 00:26:11.170 align:middle line:84%
depending on its height, but
when it becomes thin enough,

00:26:11.170 --> 00:26:13.510 align:middle line:84%
there's a finite probability
that electrons will find

00:26:13.510 --> 00:26:14.650 align:middle line:90%
their way through that barrier.

00:26:14.650 --> 00:26:15.460 align:middle line:90%
They will tunnel through.

00:26:15.460 --> 00:26:16.300 align:middle line:90%
They don't go over.

00:26:16.300 --> 00:26:18.220 align:middle line:90%
They go through.

00:26:18.220 --> 00:26:20.860 align:middle line:84%
And this isn't a problem
when you're thicker.

00:26:20.860 --> 00:26:23.470 align:middle line:84%
But when you get down to
this regime, for example,

00:26:23.470 --> 00:26:26.620 align:middle line:84%
below about 30 angstroms,
you can have direct tunneling

00:26:26.620 --> 00:26:30.130 align:middle line:84%
right through from the gate
electrode into the channel.

00:26:30.130 --> 00:26:31.930 align:middle line:84%
And this constitutes
a gate current,

00:26:31.930 --> 00:26:34.030 align:middle line:84%
which, again, the
whole idea of CMOS

00:26:34.030 --> 00:26:37.510 align:middle line:84%
is that there's no current
through the gate insulator.

00:26:37.510 --> 00:26:38.930 align:middle line:90%
That's not true anymore.

00:26:38.930 --> 00:26:41.200 align:middle line:84%
There is current flowing
through these gate insulators

00:26:41.200 --> 00:26:43.040 align:middle line:90%
because they're so thin.

00:26:43.040 --> 00:26:46.690 align:middle line:84%
And this is just a diagram I
took from an older paper now.

00:26:46.690 --> 00:26:49.890 align:middle line:84%
But on the vertical
axis is a log scale,

00:26:49.890 --> 00:26:51.320 align:middle line:90%
shows the gate current density.

00:26:51.320 --> 00:26:53.737 align:middle line:84%
So that's how much current is
going through that insulator

00:26:53.737 --> 00:26:55.180 align:middle line:90%
as a function of gate voltage.

00:26:55.180 --> 00:26:57.520 align:middle line:84%
As I increase the gate voltage,
of course, that goes up.

00:26:57.520 --> 00:26:59.840 align:middle line:84%
And the different
parameters shown here

00:26:59.840 --> 00:27:03.240 align:middle line:84%
are the thickness
of the SiO2 layer.

00:27:03.240 --> 00:27:06.050 align:middle line:84%
So here in the bottom, it's
showing for 36 angstroms,

00:27:06.050 --> 00:27:06.710 align:middle line:90%
you see.

00:27:06.710 --> 00:27:09.170 align:middle line:84%
And you can see it
goes up exponentially.

00:27:09.170 --> 00:27:12.020 align:middle line:84%
Below about 30 angstroms,
we're going up exponentially.

00:27:12.020 --> 00:27:15.250 align:middle line:84%
Here, I'm only going from
29 to 25 to 20 angstroms.

00:27:15.250 --> 00:27:19.160 align:middle line:84%
And we're going up five orders
of magnitude in just five

00:27:19.160 --> 00:27:21.280 align:middle line:84%
angstroms in the
amount of current

00:27:21.280 --> 00:27:22.530 align:middle line:90%
that flows through that oxide.

00:27:22.530 --> 00:27:25.130 align:middle line:90%
So it's an exponential process.

00:27:25.130 --> 00:27:27.740 align:middle line:84%
It's very, very highly
dependent on [INAUDIBLE]..

00:27:27.740 --> 00:27:31.498 align:middle line:84%
As we go thinner, as we go
here to, say, to 15 angstroms,

00:27:31.498 --> 00:27:34.040 align:middle line:84%
really getting quite a bit of
current tunneling through that.

00:27:34.040 --> 00:27:38.090 align:middle line:84%
And that's a major issue
in modern technology.

00:27:38.090 --> 00:27:40.670 align:middle line:84%
So as a result, if
we go on to slide 18,

00:27:40.670 --> 00:27:41.720 align:middle line:90%
what are people doing?

00:27:41.720 --> 00:27:44.370 align:middle line:84%
Well, you have a
couple of options.

00:27:44.370 --> 00:27:46.760 align:middle line:90%
One is don't scale the oxide.

00:27:46.760 --> 00:27:47.840 align:middle line:90%
Don't make it so thin.

00:27:47.840 --> 00:27:48.750 align:middle line:90%
Stop scaling it.

00:27:48.750 --> 00:27:51.072 align:middle line:84%
Well, it turns out that's
an issue because we need

00:27:51.072 --> 00:27:52.280 align:middle line:90%
to get higher current drives.

00:27:52.280 --> 00:27:55.020 align:middle line:84%
And one way we do that is
to make the oxide thinner.

00:27:55.020 --> 00:27:56.480 align:middle line:84%
So if we want
higher performance,

00:27:56.480 --> 00:27:58.010 align:middle line:84%
we want to make
the oxide thinner.

00:27:58.010 --> 00:28:00.908 align:middle line:84%
On the other hand, the gate is
no longer a perfect insulator,

00:28:00.908 --> 00:28:01.700 align:middle line:90%
the gate insulator.

00:28:01.700 --> 00:28:04.370 align:middle line:90%
So there's another idea.

00:28:04.370 --> 00:28:06.710 align:middle line:84%
To achieve higher
current drive, well, we

00:28:06.710 --> 00:28:08.570 align:middle line:84%
need to increase
the capacitance.

00:28:08.570 --> 00:28:11.930 align:middle line:84%
Usually, we just decrease
t-ox in this formula

00:28:11.930 --> 00:28:13.262 align:middle line:90%
shown on the slide.

00:28:13.262 --> 00:28:14.720 align:middle line:84%
Well, the other
thing you can do is

00:28:14.720 --> 00:28:17.830 align:middle line:84%
increase the dielectric
constant, k-ox

00:28:17.830 --> 00:28:20.270 align:middle line:90%
of the insulator.

00:28:20.270 --> 00:28:22.725 align:middle line:84%
So that's the name
of the game people

00:28:22.725 --> 00:28:24.350 align:middle line:84%
have been looking at
and doing research

00:28:24.350 --> 00:28:26.060 align:middle line:90%
for the last five or 10 years.

00:28:26.060 --> 00:28:28.820 align:middle line:84%
What other insulators
can we make

00:28:28.820 --> 00:28:31.980 align:middle line:84%
besides SiO2 that have
all the great properties,

00:28:31.980 --> 00:28:35.510 align:middle line:84%
but they have a somewhat
higher dielectric constant, k

00:28:35.510 --> 00:28:38.340 align:middle line:84%
nu, which is shown
in this formula here.

00:28:38.340 --> 00:28:41.300 align:middle line:84%
So I try to increase the
dielectric constant by--

00:28:41.300 --> 00:28:44.060 align:middle line:84%
one way is by adding a little
nitrogen to the insulator.

00:28:44.060 --> 00:28:45.860 align:middle line:84%
And people use oxide
nitrides, or you might

00:28:45.860 --> 00:28:48.260 align:middle line:90%
go to a whole new material.

00:28:48.260 --> 00:28:53.920 align:middle line:84%
So what people refer to is
for the same gate capacitance,

00:28:53.920 --> 00:28:56.980 align:middle line:84%
what we typically do is we
define an equivalent gate oxide

00:28:56.980 --> 00:29:00.370 align:middle line:84%
thickness called t-ox
equivalent according

00:29:00.370 --> 00:29:02.240 align:middle line:90%
to the formula on the bottom.

00:29:02.240 --> 00:29:04.690 align:middle line:84%
So what is t-ox
equivalent? t-ox equivalent

00:29:04.690 --> 00:29:07.270 align:middle line:84%
is equal to just k, the
dielectric constant of silicon

00:29:07.270 --> 00:29:10.870 align:middle line:84%
dioxide, which is
at 3.9, divided

00:29:10.870 --> 00:29:14.440 align:middle line:84%
by the dielectric constant of my
new gate insulator, my high k.

00:29:14.440 --> 00:29:22.190 align:middle line:84%
So let's say you went from 4
here to 8 times the thickness.

00:29:22.190 --> 00:29:26.290 align:middle line:84%
So what that means is,
basically, you can actually

00:29:26.290 --> 00:29:29.770 align:middle line:84%
increase the thickness, go to
a slightly higher thickness

00:29:29.770 --> 00:29:32.450 align:middle line:84%
of the high k and get
the same capacitance.

00:29:32.450 --> 00:29:35.780 align:middle line:84%
So I'm upping k here, k nu,
so I can increase thickness,

00:29:35.780 --> 00:29:37.780 align:middle line:84%
which means your quantum
mechanical tunneling is

00:29:37.780 --> 00:29:38.728 align:middle line:90%
going to go down.

00:29:38.728 --> 00:29:41.020 align:middle line:84%
You'll still get the high
capacitance and the high gate

00:29:41.020 --> 00:29:41.520 align:middle line:90%
drive.

00:29:41.520 --> 00:29:43.840 align:middle line:84%
So it sounds like a perfect,
from a mathematical point

00:29:43.840 --> 00:29:45.970 align:middle line:84%
of view, physics will look
at this, say, perfect.

00:29:45.970 --> 00:29:49.440 align:middle line:84%
Increase k, increase
t, everybody's happy.

00:29:49.440 --> 00:29:50.990 align:middle line:84%
The problem is it's
hard to come up

00:29:50.990 --> 00:29:53.870 align:middle line:84%
with a material that has a
higher dielectric constant that

00:29:53.870 --> 00:29:57.140 align:middle line:84%
has all the perfect and ideal
properties of the silicon

00:29:57.140 --> 00:29:58.410 align:middle line:90%
silicon dioxide interface.

00:29:58.410 --> 00:30:00.590 align:middle line:84%
In fact, such a material
has not been discovered yet

00:30:00.590 --> 00:30:02.930 align:middle line:84%
despite millions and
millions of dollars that's

00:30:02.930 --> 00:30:06.350 align:middle line:84%
been spent in trying to comb
the periodic chart for such

00:30:06.350 --> 00:30:08.480 align:middle line:90%
a material.

00:30:08.480 --> 00:30:12.770 align:middle line:84%
So if we go on to
slide 19, let's

00:30:12.770 --> 00:30:15.860 align:middle line:84%
look at what some of
the future projections

00:30:15.860 --> 00:30:18.830 align:middle line:84%
are for the scaling
of the gate insulator.

00:30:18.830 --> 00:30:21.290 align:middle line:84%
And I should say gate
insulator in this slide

00:30:21.290 --> 00:30:23.390 align:middle line:84%
because we're not
sure-- it won't be SiO2.

00:30:23.390 --> 00:30:26.150 align:middle line:84%
It'll be an oxynitride
with a higher

00:30:26.150 --> 00:30:30.650 align:middle line:84%
k or maybe a new material
that is yet to be figured out.

00:30:30.650 --> 00:30:33.320 align:middle line:84%
And what I'm showing
here, each column

00:30:33.320 --> 00:30:35.540 align:middle line:84%
corresponds to a different
year, just like we usually

00:30:35.540 --> 00:30:37.190 align:middle line:90%
do on the ITRS.

00:30:37.190 --> 00:30:41.480 align:middle line:84%
And what I wanted to focus on
is a couple of interesting rows.

00:30:41.480 --> 00:30:45.240 align:middle line:84%
This row right here, if
I highlight this row,

00:30:45.240 --> 00:30:47.690 align:middle line:84%
that says equivalent
physical oxide thickness

00:30:47.690 --> 00:30:49.800 align:middle line:90%
for microprocessor units.

00:30:49.800 --> 00:30:51.570 align:middle line:84%
So this would be for
high performance.

00:30:51.570 --> 00:30:53.300 align:middle line:90%
So this is t-ox equivalent.

00:30:53.300 --> 00:30:56.420 align:middle line:84%
In 2004, for
high-performance devices,

00:30:56.420 --> 00:30:59.910 align:middle line:84%
it's supposed to be about 1.2
nanometers, or 12 angstroms.

00:30:59.910 --> 00:31:01.370 align:middle line:84%
So the high-performance
technology

00:31:01.370 --> 00:31:03.690 align:middle line:84%
is supposed to be about 90
nanometer technology, 12

00:31:03.690 --> 00:31:04.190 align:middle line:90%
angstroms.

00:31:04.190 --> 00:31:05.180 align:middle line:90%
That's how thin we are.

00:31:05.180 --> 00:31:06.500 align:middle line:90%
And look at the current.

00:31:06.500 --> 00:31:09.810 align:middle line:84%
The gate dielectric leakage,
the maximum current tolerable

00:31:09.810 --> 00:31:14.340 align:middle line:84%
in such a device is about
170 nanoamps per micron.

00:31:14.340 --> 00:31:17.520 align:middle line:90%
So it's pretty high current.

00:31:17.520 --> 00:31:19.440 align:middle line:84%
So that's for the highest
performance device.

00:31:19.440 --> 00:31:21.240 align:middle line:84%
And if we go out
in that same row

00:31:21.240 --> 00:31:23.310 align:middle line:84%
and we work to higher
years, look what happens.

00:31:23.310 --> 00:31:25.500 align:middle line:90%
By 2006, we end up in yellow.

00:31:25.500 --> 00:31:27.570 align:middle line:84%
Yellow means people have
an idea how to do it

00:31:27.570 --> 00:31:29.820 align:middle line:84%
but maybe not totally
manufacturable.

00:31:29.820 --> 00:31:30.990 align:middle line:90%
But there's some ideas.

00:31:30.990 --> 00:31:34.900 align:middle line:84%
And if we go beyond
that, 2007, it's all red.

00:31:34.900 --> 00:31:37.600 align:middle line:84%
So we want to achieve
equivalent oxide thicknesses

00:31:37.600 --> 00:31:41.410 align:middle line:90%
of 0.9, 0.8, and 0.8 by 2008.

00:31:41.410 --> 00:31:43.120 align:middle line:84%
People just don't
know-- don't really

00:31:43.120 --> 00:31:45.020 align:middle line:84%
have the right
material at this point.

00:31:45.020 --> 00:31:47.930 align:middle line:84%
So there's a lot of
research in this area.

00:31:47.930 --> 00:31:51.370 align:middle line:84%
So what people do instead, we
haven't figured that out yet,

00:31:51.370 --> 00:31:53.013 align:middle line:84%
is they make different
types to reduce

00:31:53.013 --> 00:31:55.180 align:middle line:84%
the total amount of power
that's burned on the chip.

00:31:55.180 --> 00:31:56.920 align:middle line:84%
They make different
types of devices.

00:31:56.920 --> 00:31:59.980 align:middle line:84%
You have a very high-performance
device that's quite fast.

00:31:59.980 --> 00:32:04.600 align:middle line:84%
But it has reasonably thin
physical gate oxide thickness.

00:32:04.600 --> 00:32:08.230 align:middle line:84%
But then you can also,
on the same chip,

00:32:08.230 --> 00:32:10.690 align:middle line:84%
going down here in this region
that I've circled down here

00:32:10.690 --> 00:32:13.870 align:middle line:84%
where it says equivalent
physical oxide thickness

00:32:13.870 --> 00:32:15.920 align:middle line:90%
for low operating power.

00:32:15.920 --> 00:32:18.800 align:middle line:84%
So this is a device
burns less power.

00:32:18.800 --> 00:32:20.890 align:middle line:90%
Notice, the oxide is thicker.

00:32:20.890 --> 00:32:23.980 align:middle line:84%
It's 1.5 nanometers
instead of 1.2.

00:32:23.980 --> 00:32:29.170 align:middle line:84%
And the maximum tolerable gate
leakage is on the order of 1,

00:32:29.170 --> 00:32:32.768 align:middle line:84%
1 nanoamp per micron
instead of 170.

00:32:32.768 --> 00:32:35.060 align:middle line:84%
So this device is supposed
to be lower operating power.

00:32:35.060 --> 00:32:36.602 align:middle line:84%
You make it a little
thicker, and you

00:32:36.602 --> 00:32:38.917 align:middle line:90%
change the VT to achieve that.

00:32:38.917 --> 00:32:40.500 align:middle line:84%
Finally, if you go
down to this column

00:32:40.500 --> 00:32:42.480 align:middle line:84%
for the low standby
power device,

00:32:42.480 --> 00:32:44.160 align:middle line:90%
it has even thicker oxide.

00:32:44.160 --> 00:32:48.960 align:middle line:84%
So on the same chip you might
have a 2 nanometer, or 2.1--

00:32:48.960 --> 00:32:50.310 align:middle line:90%
21 angstrom oxide.

00:32:50.310 --> 00:32:52.290 align:middle line:84%
And the leakage
current much lower

00:32:52.290 --> 00:32:55.680 align:middle line:84%
through the gate for this
device, about three picoamps

00:32:55.680 --> 00:32:56.580 align:middle line:90%
per micron.

00:32:56.580 --> 00:32:59.880 align:middle line:84%
So three orders of magnitude
lower than for the other device

00:32:59.880 --> 00:33:02.130 align:middle line:84%
and five orders of magnitude
lower than for this.

00:33:02.130 --> 00:33:05.692 align:middle line:84%
So quite a bit different
on the same chip.

00:33:05.692 --> 00:33:07.650 align:middle line:84%
This is the solution
people are coming up with.

00:33:07.650 --> 00:33:11.880 align:middle line:84%
Only the fastest devices have to
have the very thinnest oxides.

00:33:11.880 --> 00:33:13.560 align:middle line:84%
Nevertheless, in
a couple of years,

00:33:13.560 --> 00:33:15.143 align:middle line:84%
we will be hitting
the red brick wall.

00:33:15.143 --> 00:33:18.120 align:middle line:84%
So there's a lot of work to
be done on alternative gate

00:33:18.120 --> 00:33:20.580 align:middle line:90%
insulators.

00:33:20.580 --> 00:33:21.930 align:middle line:90%
Let's go to the next slide.

00:33:21.930 --> 00:33:25.376 align:middle line:84%
I've also taken this
from the 2003 ITRS.

00:33:25.376 --> 00:33:30.330 align:middle line:84%
It's a little bit complicated
and not the most pretty plot

00:33:30.330 --> 00:33:31.080 align:middle line:90%
in the world.

00:33:31.080 --> 00:33:34.110 align:middle line:84%
But what it does show is a
couple of interesting things.

00:33:34.110 --> 00:33:37.372 align:middle line:84%
It's a plot of the leakage
current density, JG,

00:33:37.372 --> 00:33:38.080 align:middle line:90%
through the gate.

00:33:38.080 --> 00:33:40.205 align:middle line:84%
So this is the current
going through the gate oxide

00:33:40.205 --> 00:33:44.020 align:middle line:84%
as a function of year
on the left axis.

00:33:44.020 --> 00:33:49.622 align:middle line:84%
And you can see that this red
line represents the JG limit.

00:33:49.622 --> 00:33:51.330 align:middle line:84%
This is what device
designers would like.

00:33:51.330 --> 00:33:52.747 align:middle line:84%
No higher than
this amount of gate

00:33:52.747 --> 00:33:54.180 align:middle line:84%
current is what
they can tolerate

00:33:54.180 --> 00:33:56.280 align:middle line:90%
for a high-performance device.

00:33:56.280 --> 00:33:59.610 align:middle line:84%
This black curve is
actually what people think,

00:33:59.610 --> 00:34:01.800 align:middle line:90%
a dielectric called oxynitride.

00:34:01.800 --> 00:34:05.567 align:middle line:84%
So this is not SiO2,
but it's SiO2, SiO,

00:34:05.567 --> 00:34:07.650 align:middle line:84%
where a certain amount of
nitrogen has been added.

00:34:07.650 --> 00:34:10.440 align:middle line:84%
And you can see the
gate current on the left

00:34:10.440 --> 00:34:11.460 align:middle line:90%
that is being projected.

00:34:11.460 --> 00:34:13.168 align:middle line:84%
It looks something
like this black curve.

00:34:13.168 --> 00:34:14.909 align:middle line:90%
It's increasing exponentially.

00:34:14.909 --> 00:34:18.730 align:middle line:84%
And somewhere around 2006,
2007, these curves cross.

00:34:18.730 --> 00:34:22.940 align:middle line:84%
So beyond that oxynitride, you
cannot stay on the same scaling

00:34:22.940 --> 00:34:23.440 align:middle line:90%
curve.

00:34:23.440 --> 00:34:25.659 align:middle line:84%
It won't satisfy the
gate leakage current.

00:34:25.659 --> 00:34:27.639 align:middle line:84%
It will leak too much
through the gate.

00:34:27.639 --> 00:34:30.497 align:middle line:84%
So beyond 2007, it's not clear
if people can use oxynitride.

00:34:30.497 --> 00:34:32.330 align:middle line:84%
So they have to come
up with something else.

00:34:32.330 --> 00:34:34.600 align:middle line:84%
This brown curve up
here that's marked

00:34:34.600 --> 00:34:37.060 align:middle line:84%
EOT, the equivalent
oxide thickness,

00:34:37.060 --> 00:34:40.027 align:middle line:84%
it's referenced to the
right-hand vertical axis, which

00:34:40.027 --> 00:34:42.110 align:middle line:84%
shows in angstroms the
equivalent oxide thickness.

00:34:42.110 --> 00:34:44.750 align:middle line:84%
So this is just exactly the
data I showed you going down.

00:34:44.750 --> 00:34:47.739 align:middle line:84%
So starting in
2003, we have an EOT

00:34:47.739 --> 00:34:49.870 align:middle line:90%
of 13 angstroms on the right.

00:34:49.870 --> 00:34:54.489 align:middle line:84%
And it's going down and down
so that by 2007 or so here,

00:34:54.489 --> 00:34:57.740 align:middle line:84%
the EOT is nominally
9 angstroms.

00:34:57.740 --> 00:35:00.400 align:middle line:84%
So this is the way people
would like to scale.

00:35:00.400 --> 00:35:02.680 align:middle line:84%
But clearly, in
the next few years,

00:35:02.680 --> 00:35:04.070 align:middle line:90%
oxynitride is not going to work.

00:35:04.070 --> 00:35:06.610 align:middle line:84%
You're going to need some
other material, like hafnium

00:35:06.610 --> 00:35:11.900 align:middle line:84%
oxide or one of the silicates
that people are studying.

00:35:11.900 --> 00:35:13.520 align:middle line:90%
And so one more--

00:35:13.520 --> 00:35:15.140 align:middle line:84%
go to the next
slide, on slide 21,

00:35:15.140 --> 00:35:17.030 align:middle line:84%
one more thing I just
wanted to point out

00:35:17.030 --> 00:35:19.730 align:middle line:84%
about alternative
gate dielectrics is--

00:35:19.730 --> 00:35:23.210 align:middle line:84%
this I took from IEDM,
International Electron Devices

00:35:23.210 --> 00:35:26.880 align:middle line:84%
Meeting publication from
about two years ago.

00:35:26.880 --> 00:35:28.460 align:middle line:90%
There's been a lot of data.

00:35:28.460 --> 00:35:30.080 align:middle line:84%
I don't mean that
people have searched

00:35:30.080 --> 00:35:32.570 align:middle line:84%
the entire periodic
chart, but there's

00:35:32.570 --> 00:35:35.270 align:middle line:84%
a lot of work that's been
done by different people

00:35:35.270 --> 00:35:37.200 align:middle line:90%
to study different materials.

00:35:37.200 --> 00:35:40.100 align:middle line:84%
And this is just a way
of summarizing them.

00:35:40.100 --> 00:35:42.500 align:middle line:84%
One parameter people look
at is the current density

00:35:42.500 --> 00:35:45.710 align:middle line:84%
that leaks through the gate as a
function of the EOT, equivalent

00:35:45.710 --> 00:35:46.920 align:middle line:90%
oxide thickness.

00:35:46.920 --> 00:35:48.420 align:middle line:84%
And I won't go
through it in detail.

00:35:48.420 --> 00:35:50.950 align:middle line:84%
But just the point is that a
number of different materials

00:35:50.950 --> 00:35:51.950 align:middle line:90%
are under consideration.

00:35:51.950 --> 00:35:53.570 align:middle line:84%
I think right now
the most popular

00:35:53.570 --> 00:35:59.360 align:middle line:84%
are hafnium oxides and
hafnium silicates, HfSiON.

00:35:59.360 --> 00:36:01.070 align:middle line:84%
But this is an
example of a topic,

00:36:01.070 --> 00:36:04.130 align:middle line:84%
if you're interested in
doing some of the library

00:36:04.130 --> 00:36:06.620 align:middle line:84%
research for your final
report, of a topic you

00:36:06.620 --> 00:36:10.040 align:middle line:84%
might want to consider looking
at is high k dielectrics.

00:36:10.040 --> 00:36:13.170 align:middle line:84%
What some of their properties
are and how they're formed

00:36:13.170 --> 00:36:16.870 align:middle line:84%
is an interesting
thing to study.

00:36:16.870 --> 00:36:18.540 align:middle line:84%
So given that
background information,

00:36:18.540 --> 00:36:22.450 align:middle line:84%
I want to go on to
page 22, slide 22 here.

00:36:22.450 --> 00:36:25.500 align:middle line:84%
And even though I've
just finished telling you

00:36:25.500 --> 00:36:29.970 align:middle line:84%
that in the future pure
SiO2 probably won't be used,

00:36:29.970 --> 00:36:32.737 align:middle line:90%
it's still the most important--

00:36:32.737 --> 00:36:34.320 align:middle line:84%
there's nothing
that's ever beaten it,

00:36:34.320 --> 00:36:35.340 align:middle line:90%
so it's the standard.

00:36:35.340 --> 00:36:38.340 align:middle line:84%
So we're going to study the
process of thermal oxidation

00:36:38.340 --> 00:36:39.660 align:middle line:90%
in this course.

00:36:39.660 --> 00:36:42.660 align:middle line:84%
And this shows schematically,
very schematically

00:36:42.660 --> 00:36:43.830 align:middle line:90%
the basic process.

00:36:43.830 --> 00:36:47.070 align:middle line:84%
We have an oxide that's
growing at a high temperature

00:36:47.070 --> 00:36:48.330 align:middle line:90%
on a silicon wafer.

00:36:48.330 --> 00:36:52.260 align:middle line:84%
And what happens is an oxidant,
such as oxygen or water,

00:36:52.260 --> 00:36:55.950 align:middle line:84%
diffuses through that oxide,
has to react at the surface.

00:36:55.950 --> 00:36:59.410 align:middle line:84%
And new oxide is formed right
at this interface right here.

00:36:59.410 --> 00:37:02.760 align:middle line:84%
So we have a chemical reaction
taking place at the interface.

00:37:02.760 --> 00:37:06.000 align:middle line:84%
These are examples of the
chemical reactions, silicon

00:37:06.000 --> 00:37:09.630 align:middle line:84%
plus oxygen going to SiO2,
or silicon plus moisture

00:37:09.630 --> 00:37:10.890 align:middle line:90%
going to SiO2.

00:37:10.890 --> 00:37:14.250 align:middle line:84%
These are the reactions that
take place at that interface.

00:37:14.250 --> 00:37:16.630 align:middle line:84%
And we'll spend, not this
lecture, but probably

00:37:16.630 --> 00:37:20.800 align:middle line:84%
next lecture talking in detail
about mathematical models

00:37:20.800 --> 00:37:23.970 align:middle line:90%
for that process.

00:37:23.970 --> 00:37:26.490 align:middle line:84%
But rather, before we get into
all the mathematical detail

00:37:26.490 --> 00:37:29.850 align:middle line:84%
models and the
Deal-Grove model, there

00:37:29.850 --> 00:37:31.950 align:middle line:84%
are a few basic properties
about the process

00:37:31.950 --> 00:37:36.450 align:middle line:84%
we should think about, that,
in fact, when the silicon

00:37:36.450 --> 00:37:39.810 align:middle line:84%
surface is oxidized, there is
a volume expansion associated

00:37:39.810 --> 00:37:40.480 align:middle line:90%
with that.

00:37:40.480 --> 00:37:44.610 align:middle line:84%
And this upper schematic picture
shown here in the upper right

00:37:44.610 --> 00:37:48.990 align:middle line:84%
is something I took from
chapter 6, figure 6-39.

00:37:48.990 --> 00:37:50.970 align:middle line:84%
What it represents
is a cross-section

00:37:50.970 --> 00:37:54.330 align:middle line:84%
in depth of the crystal,
where these open circles here

00:37:54.330 --> 00:37:57.480 align:middle line:84%
are meant to represent the
silicon atoms in a lattice.

00:37:57.480 --> 00:38:00.990 align:middle line:84%
This interface right here is
meant to represent the silicon

00:38:00.990 --> 00:38:02.340 align:middle line:90%
silicon dioxide interface.

00:38:02.340 --> 00:38:05.550 align:middle line:84%
And this upper region here that
has both black atoms, which

00:38:05.550 --> 00:38:08.640 align:middle line:84%
are oxygen, and the white
open circles, which are

00:38:08.640 --> 00:38:10.680 align:middle line:90%
silicon in it, that's the SiO2.

00:38:10.680 --> 00:38:13.300 align:middle line:90%
So here's the interface.

00:38:13.300 --> 00:38:15.990 align:middle line:84%
So what it shows schematically
is that, in order

00:38:15.990 --> 00:38:18.090 align:middle line:84%
to oxidize this surface,
what has to happen

00:38:18.090 --> 00:38:21.295 align:middle line:84%
is the silicon bonds have to be
broken because the silicon is

00:38:21.295 --> 00:38:22.170 align:middle line:90%
bonded to each other.

00:38:22.170 --> 00:38:23.640 align:middle line:90%
They have to be broken.

00:38:23.640 --> 00:38:25.500 align:middle line:84%
Oxygen, these
little black atoms,

00:38:25.500 --> 00:38:27.930 align:middle line:84%
have to be inserted
in between the silicon

00:38:27.930 --> 00:38:31.770 align:middle line:84%
to form SiO bonds,
such as shown here.

00:38:31.770 --> 00:38:34.662 align:middle line:84%
And so the volume,
that whole area

00:38:34.662 --> 00:38:36.870 align:middle line:84%
has to expand to a certain
extent because of the room

00:38:36.870 --> 00:38:38.770 align:middle line:90%
taken up by the oxygen atoms.

00:38:38.770 --> 00:38:41.870 align:middle line:84%
So there is a volume
expansion associated with it.

00:38:41.870 --> 00:38:45.830 align:middle line:84%
And the lower cartoons
show schematically what

00:38:45.830 --> 00:38:47.558 align:middle line:90%
that expansion looks like.

00:38:47.558 --> 00:38:49.850 align:middle line:84%
So let's say I take a unit
volume of a substrate that's

00:38:49.850 --> 00:38:54.560 align:middle line:84%
a cube, that's 1 by 1 by 1
cube in all three dimensions,

00:38:54.560 --> 00:38:56.240 align:middle line:84%
shown schematically
here on the left.

00:38:56.240 --> 00:38:59.390 align:middle line:84%
And just take that
square that cube

00:38:59.390 --> 00:39:01.498 align:middle line:84%
and expand it 30% in
all three directions.

00:39:01.498 --> 00:39:02.540 align:middle line:90%
So this is a bigger cube.

00:39:02.540 --> 00:39:05.520 align:middle line:84%
This blue cube in the
center is bigger by 30%.

00:39:05.520 --> 00:39:07.340 align:middle line:84%
So this would be if
it were unconstrained.

00:39:07.340 --> 00:39:09.950 align:middle line:84%
There were no constraints,
just in free space.

00:39:09.950 --> 00:39:12.710 align:middle line:84%
But actually, the substrate
restricts the expansion

00:39:12.710 --> 00:39:14.030 align:middle line:90%
to one dimension, right?

00:39:14.030 --> 00:39:17.450 align:middle line:84%
I can't just take the cube
and expand it in the xy plane

00:39:17.450 --> 00:39:19.950 align:middle line:84%
because I've got the
substrate holding on to it.

00:39:19.950 --> 00:39:22.520 align:middle line:84%
So in fact, the expansion
only takes place

00:39:22.520 --> 00:39:24.840 align:middle line:90%
in the vertical direction.

00:39:24.840 --> 00:39:28.100 align:middle line:90%
So for every one unit consumed--

00:39:28.100 --> 00:39:30.000 align:middle line:84%
silicon consumed in
the vertical direction,

00:39:30.000 --> 00:39:38.750 align:middle line:84%
we have basically a height here
of 2.2 units when it actually

00:39:38.750 --> 00:39:40.370 align:middle line:90%
grows the SiO2.

00:39:40.370 --> 00:39:45.610 align:middle line:84%
So the substrate restricts
this to one dimension.

00:39:45.610 --> 00:39:46.720 align:middle line:90%
So what does it look like?

00:39:46.720 --> 00:39:48.310 align:middle line:84%
What does an oxide
look like grown--

00:39:48.310 --> 00:39:50.980 align:middle line:84%
especially an oxide grown in
a complicated two-dimensional

00:39:50.980 --> 00:39:51.480 align:middle line:90%
fashion?

00:39:51.480 --> 00:39:53.685 align:middle line:84%
We're going to spend a
lecture talking about this.

00:39:53.685 --> 00:39:55.500 align:middle line:90%
But this is a pretty picture.

00:39:55.500 --> 00:39:57.420 align:middle line:84%
It's a scanning
electron micrograph

00:39:57.420 --> 00:39:58.920 align:middle line:90%
of something called LOCOS.

00:39:58.920 --> 00:40:00.960 align:middle line:84%
I think the first
lecture we talk

00:40:00.960 --> 00:40:03.330 align:middle line:84%
about local
oxidation of silicon,

00:40:03.330 --> 00:40:06.930 align:middle line:84%
where we would put a nitride
mask down on the chip

00:40:06.930 --> 00:40:08.610 align:middle line:84%
where we don't want
the oxide to grow.

00:40:08.610 --> 00:40:10.950 align:middle line:84%
And everywhere outside
the nitride mask

00:40:10.950 --> 00:40:13.450 align:middle line:84%
is where the field
oxidation takes place.

00:40:13.450 --> 00:40:16.230 align:middle line:84%
So this is an actual
example of field oxidation

00:40:16.230 --> 00:40:19.740 align:middle line:84%
that's taking place
and what it looks like.

00:40:19.740 --> 00:40:24.330 align:middle line:84%
This rectangular bar marked the
location of the silicon nitride

00:40:24.330 --> 00:40:26.280 align:middle line:84%
mask, that's the region
on the chip where

00:40:26.280 --> 00:40:30.900 align:middle line:84%
the nitride was there protecting
the surface against oxidation.

00:40:30.900 --> 00:40:34.900 align:middle line:84%
The gray region down here
is the silicon substrate.

00:40:34.900 --> 00:40:39.420 align:middle line:84%
This region marked SiO2, you
can see the volume expansion.

00:40:39.420 --> 00:40:42.960 align:middle line:84%
It's expanded compared to--
the original silicon surface is

00:40:42.960 --> 00:40:46.770 align:middle line:84%
shown by this white dashed
line because we know oxidation

00:40:46.770 --> 00:40:50.640 align:middle line:84%
involves the volume
expansion by about 2.2x.

00:40:50.640 --> 00:40:54.780 align:middle line:84%
So this occupies about
twice, 2.2 times,

00:40:54.780 --> 00:40:56.430 align:middle line:84%
the volume of the
silicon from here

00:40:56.430 --> 00:40:57.905 align:middle line:84%
to here that was
actually consumed.

00:40:57.905 --> 00:40:59.280 align:middle line:84%
So you're consuming
the substrate

00:40:59.280 --> 00:41:00.750 align:middle line:90%
when you're doing this.

00:41:00.750 --> 00:41:03.265 align:middle line:84%
Interestingly, though,
in two dimensions

00:41:03.265 --> 00:41:04.890 align:middle line:84%
and these three-dimensional
structures,

00:41:04.890 --> 00:41:07.573 align:middle line:84%
stress plays an
important dominant role.

00:41:07.573 --> 00:41:09.490 align:middle line:84%
We're going to talk about
that in this course.

00:41:09.490 --> 00:41:11.320 align:middle line:84%
So look at this
little bird's beak.

00:41:11.320 --> 00:41:13.140 align:middle line:84%
They call this a
bird's beak that's

00:41:13.140 --> 00:41:15.930 align:middle line:84%
squeezing out like this because
it looks like a bird's beak.

00:41:15.930 --> 00:41:18.300 align:middle line:84%
And sometimes they call
this the bird's head.

00:41:18.300 --> 00:41:20.160 align:middle line:84%
You have to have a good
imagination in order

00:41:20.160 --> 00:41:21.060 align:middle line:90%
to understand that.

00:41:21.060 --> 00:41:22.770 align:middle line:84%
But the bird's beak
shape is actually

00:41:22.770 --> 00:41:24.840 align:middle line:84%
due to lateral oxidation,
some of the oxidant

00:41:24.840 --> 00:41:27.810 align:middle line:84%
diffusing in here
under the nitride mask.

00:41:27.810 --> 00:41:30.210 align:middle line:84%
And also, its shape is
controlled by the nitride mask

00:41:30.210 --> 00:41:31.163 align:middle line:90%
pushing down on it.

00:41:31.163 --> 00:41:32.580 align:middle line:84%
So the oxide is
trying to grow it.

00:41:32.580 --> 00:41:33.830 align:middle line:90%
Has to push up on the nitride.

00:41:33.830 --> 00:41:35.100 align:middle line:90%
That takes some force.

00:41:35.100 --> 00:41:38.310 align:middle line:84%
So this whole shape and the
amount of lateral encroachment

00:41:38.310 --> 00:41:40.350 align:middle line:84%
is very much dependent
on the stress effects.

00:41:40.350 --> 00:41:45.500 align:middle line:84%
And we'll talk about that in
the next couple of lectures.

00:41:45.500 --> 00:41:49.825 align:middle line:84%
So complex shapes can be
formed by local oxidation.

00:41:49.825 --> 00:41:52.990 align:middle line:90%
We'll go on to slide 25.

00:41:52.990 --> 00:41:55.990 align:middle line:84%
This is a very high-resolution
transmission electron

00:41:55.990 --> 00:41:56.590 align:middle line:90%
micrograph.

00:41:56.590 --> 00:41:58.257 align:middle line:84%
And again, on your
handouts, it probably

00:41:58.257 --> 00:41:59.440 align:middle line:90%
doesn't look very good.

00:41:59.440 --> 00:42:01.990 align:middle line:84%
But all those little dots,
you see them in rows,

00:42:01.990 --> 00:42:05.170 align:middle line:84%
correspond to pairs of atoms
in the silicon lattice.

00:42:05.170 --> 00:42:06.667 align:middle line:90%
So these are planes here.

00:42:06.667 --> 00:42:08.500 align:middle line:84%
And they're all very
regular because silicon

00:42:08.500 --> 00:42:10.375 align:middle line:84%
is a crystal material,
right, single crystal,

00:42:10.375 --> 00:42:11.380 align:middle line:90%
perfect structure.

00:42:11.380 --> 00:42:13.480 align:middle line:90%
SiO2, however, is amorphous.

00:42:13.480 --> 00:42:14.782 align:middle line:90%
It has no long-range order.

00:42:14.782 --> 00:42:16.990 align:middle line:84%
It has some short-range
order but no long-range order

00:42:16.990 --> 00:42:18.920 align:middle line:84%
even though it's growing
on a single crystal.

00:42:18.920 --> 00:42:22.090 align:middle line:84%
So this is an amorphous material
even though it's growing

00:42:22.090 --> 00:42:24.680 align:middle line:90%
on a single crystal substrate.

00:42:24.680 --> 00:42:27.250 align:middle line:90%
It's a glass.

00:42:27.250 --> 00:42:32.110 align:middle line:84%
If we go on to slide 26,
there are no crystalline forms

00:42:32.110 --> 00:42:36.730 align:middle line:84%
of SiO2 that match the
lattice size of silicon.

00:42:36.730 --> 00:42:38.620 align:middle line:84%
There is a little bit
of short-range order

00:42:38.620 --> 00:42:41.320 align:middle line:90%
in thermally-grown SiO2.

00:42:41.320 --> 00:42:45.110 align:middle line:84%
And in fact, if you look at
this schematic on the left,

00:42:45.110 --> 00:42:49.990 align:middle line:84%
this shows that there's a
tetrahedral type of structure

00:42:49.990 --> 00:42:50.600 align:middle line:90%
on the left.

00:42:50.600 --> 00:42:54.250 align:middle line:84%
You see a silicon atom in the
center and four oxygen atoms

00:42:54.250 --> 00:42:59.200 align:middle line:84%
bonded to it nearby forming
some sort of tetrahedron.

00:42:59.200 --> 00:43:01.990 align:middle line:84%
These tetrahedra, though,
are not actually bound

00:43:01.990 --> 00:43:03.160 align:middle line:90%
in any real structure.

00:43:03.160 --> 00:43:06.130 align:middle line:84%
They may form a ring
structure a little bit

00:43:06.130 --> 00:43:07.300 align:middle line:90%
by sharing oxygen atoms.

00:43:07.300 --> 00:43:08.842 align:middle line:84%
But you notice, this
lattice does not

00:43:08.842 --> 00:43:13.850 align:middle line:84%
repeat itself throughout space
to form some single crystal.

00:43:13.850 --> 00:43:15.850 align:middle line:84%
So there is short-range
order in the tetrahedra.

00:43:15.850 --> 00:43:19.390 align:middle line:84%
But it is an open
network, and it

00:43:19.390 --> 00:43:22.860 align:middle line:90%
doesn't have long-range order.

00:43:22.860 --> 00:43:26.120 align:middle line:84%
So let's go on to
slide 27 and just

00:43:26.120 --> 00:43:28.220 align:middle line:84%
talk for a few minutes
about stress and oxide.

00:43:28.220 --> 00:43:30.830 align:middle line:84%
We're going to spend a lot
more time talking about it

00:43:30.830 --> 00:43:33.260 align:middle line:84%
in the next lecture but
just to make the point

00:43:33.260 --> 00:43:38.150 align:middle line:84%
that when oxide layers
grow on silicon,

00:43:38.150 --> 00:43:40.310 align:middle line:84%
they're under
compressive stress.

00:43:40.310 --> 00:43:42.630 align:middle line:84%
And it's for a couple
of different reasons.

00:43:42.630 --> 00:43:45.710 align:middle line:84%
But basically, because
the growing oxide

00:43:45.710 --> 00:43:48.140 align:middle line:84%
is constrained by the
interface that it's growing on

00:43:48.140 --> 00:43:50.390 align:middle line:84%
it's constrained
by the substrate

00:43:50.390 --> 00:43:51.960 align:middle line:90%
this interface right down here.

00:43:51.960 --> 00:43:56.840 align:middle line:84%
So it can only expand
upward And this gives you

00:43:56.840 --> 00:44:00.200 align:middle line:84%
an idea, 5 10 the ninth
dynes per square centimeter

00:44:00.200 --> 00:44:01.940 align:middle line:84%
for the amount of
compressive stress

00:44:01.940 --> 00:44:06.330 align:middle line:84%
that this oxide is feeling
when it's grown on the wafer.

00:44:06.330 --> 00:44:08.270 align:middle line:84%
Now, at high enough
temperatures,

00:44:08.270 --> 00:44:11.270 align:middle line:84%
say, if you put it in the
furnace to oxidize above 1,000

00:44:11.270 --> 00:44:14.180 align:middle line:84%
or anneal it, the oxide can
relieve some of the stress.

00:44:14.180 --> 00:44:18.310 align:middle line:84%
The oxide can actually flow a
little bit by a viscous flow.

00:44:18.310 --> 00:44:20.810 align:middle line:84%
But that's only at a high enough
temperature where the glass

00:44:20.810 --> 00:44:22.430 align:middle line:90%
starts to soften a little bit.

00:44:22.430 --> 00:44:26.380 align:middle line:84%
At lower temperatures, it's
just too viscous in order for it

00:44:26.380 --> 00:44:26.880 align:middle line:90%
to flow.

00:44:26.880 --> 00:44:29.460 align:middle line:90%
So the stress stays built in.

00:44:29.460 --> 00:44:31.940 align:middle line:84%
So there's these intrinsic
stresses just because

00:44:31.940 --> 00:44:33.830 align:middle line:90%
of the volume expansion.

00:44:33.830 --> 00:44:36.530 align:middle line:84%
There's also differences in the
thermal expansion coefficients

00:44:36.530 --> 00:44:37.610 align:middle line:90%
of SiO2 and silicon.

00:44:37.610 --> 00:44:40.880 align:middle line:84%
And that leads to a certain
amount of intrinsic stress.

00:44:40.880 --> 00:44:43.950 align:middle line:84%
Both of these effects are going
to put the silicon in tension.

00:44:43.950 --> 00:44:46.010 align:middle line:84%
So the silicon
wafer at the surface

00:44:46.010 --> 00:44:48.740 align:middle line:84%
is sort of being pulled
by the oxide, which

00:44:48.740 --> 00:44:50.130 align:middle line:90%
is being compressed.

00:44:50.130 --> 00:44:53.870 align:middle line:84%
So if you were to grow an
oxide on both sides of a wafer

00:44:53.870 --> 00:44:56.030 align:middle line:84%
and strip it off
the back, the wafer

00:44:56.030 --> 00:44:59.353 align:middle line:84%
would actually be slightly
bowed, very so slightly,

00:44:59.353 --> 00:45:00.770 align:middle line:84%
nothing that you
could see by eye.

00:45:00.770 --> 00:45:03.200 align:middle line:84%
But you can actually measure
it in a special laser

00:45:03.200 --> 00:45:05.520 align:middle line:84%
apparatus called a wafer
curvature measurement.

00:45:05.520 --> 00:45:09.590 align:middle line:84%
So there are ways of actually
detecting the amount of stress

00:45:09.590 --> 00:45:11.780 align:middle line:84%
just by measuring the
curvature of the wafer when

00:45:11.780 --> 00:45:13.340 align:middle line:84%
you remove the
oxide from one side

00:45:13.340 --> 00:45:15.342 align:middle line:90%
and leave it on the other side.

00:45:15.342 --> 00:45:17.300 align:middle line:84%
That's how people determine
some of the stress.

00:45:17.300 --> 00:45:20.020 align:middle line:90%


00:45:20.020 --> 00:45:21.130 align:middle line:90%
Let's go on to slide 28.

00:45:21.130 --> 00:45:23.750 align:middle line:84%
This is a very schematic, and
I apologize for this cartoon.

00:45:23.750 --> 00:45:25.750 align:middle line:84%
If you've ever actually
been in a fab clean room

00:45:25.750 --> 00:45:28.030 align:middle line:84%
and you know what an
oxidation furnace looks like,

00:45:28.030 --> 00:45:29.620 align:middle line:84%
it doesn't look
exactly like this.

00:45:29.620 --> 00:45:31.840 align:middle line:90%
But it's an artist's conception.

00:45:31.840 --> 00:45:36.340 align:middle line:84%
The equipment is actually
relatively simple in concept.

00:45:36.340 --> 00:45:39.040 align:middle line:84%
It's essentially a quartz
tube, which is shown here

00:45:39.040 --> 00:45:40.640 align:middle line:90%
by this black line.

00:45:40.640 --> 00:45:41.560 align:middle line:90%
So it's a cylinder.

00:45:41.560 --> 00:45:44.230 align:middle line:84%
It's a long quartz
tube into which

00:45:44.230 --> 00:45:46.930 align:middle line:84%
one can push a boat
of a quartz carrier

00:45:46.930 --> 00:45:49.360 align:middle line:90%
with wafers standing up in it.

00:45:49.360 --> 00:45:51.990 align:middle line:84%
So all these wafers
are put vertically

00:45:51.990 --> 00:45:53.490 align:middle line:84%
in the boat in
little slots, and you

00:45:53.490 --> 00:45:54.510 align:middle line:84%
have a whole bunch
of them sitting

00:45:54.510 --> 00:45:56.550 align:middle line:84%
right next to each other, within
a few millimeter of each other.

00:45:56.550 --> 00:45:58.008 align:middle line:84%
You have the whole
stack of wafers.

00:45:58.008 --> 00:46:02.310 align:middle line:84%
So you can oxidize 25 or 50
or 100 wafers in a furnace

00:46:02.310 --> 00:46:04.380 align:middle line:90%
at a time.

00:46:04.380 --> 00:46:06.030 align:middle line:84%
You essentially just
flow in oxidants,

00:46:06.030 --> 00:46:09.390 align:middle line:84%
like oxygen and hydrogen,
to create water vapor

00:46:09.390 --> 00:46:10.050 align:middle line:90%
and moisture.

00:46:10.050 --> 00:46:12.240 align:middle line:84%
You heat the whole thing
by resistive [? heater. ?]

00:46:12.240 --> 00:46:15.390 align:middle line:84%
So the quartz gets very hot,
and the wafers get very hot.

00:46:15.390 --> 00:46:17.700 align:middle line:84%
And then the oxidant
goes out the back side.

00:46:17.700 --> 00:46:19.500 align:middle line:90%
So it's relatively simple.

00:46:19.500 --> 00:46:22.680 align:middle line:84%
In practice, though, there
are some modern furnaces

00:46:22.680 --> 00:46:26.170 align:middle line:84%
or oxidation systems that
are a little bit different.

00:46:26.170 --> 00:46:28.260 align:middle line:84%
They also have vertical
furnaces these days,

00:46:28.260 --> 00:46:33.480 align:middle line:84%
where the wafers sit vertically
like this to help avoid

00:46:33.480 --> 00:46:35.490 align:middle line:90%
warpage and things like that.

00:46:35.490 --> 00:46:37.890 align:middle line:84%
There are rapid thermal
oxidation systems

00:46:37.890 --> 00:46:40.800 align:middle line:90%
and fast-ramped furnaces.

00:46:40.800 --> 00:46:45.140 align:middle line:84%
In fact, I think on the
next slide, slide 29,

00:46:45.140 --> 00:46:49.190 align:middle line:84%
there is an example nothing
like an oxidation furnace,

00:46:49.190 --> 00:46:54.320 align:middle line:84%
but a system in which people
do grow SiO2 and oxynitrides

00:46:54.320 --> 00:46:56.660 align:middle line:84%
by a process called
rapid thermal processing

00:46:56.660 --> 00:46:58.400 align:middle line:90%
or rapid thermal oxidation.

00:46:58.400 --> 00:46:59.847 align:middle line:90%
This is a photograph.

00:46:59.847 --> 00:47:01.680 align:middle line:84%
I took it off the Applied
Materials website.

00:47:01.680 --> 00:47:04.010 align:middle line:84%
It's a little bit fuzzy
because I blew it up.

00:47:04.010 --> 00:47:06.350 align:middle line:84%
But this is a
particular system called

00:47:06.350 --> 00:47:08.390 align:middle line:84%
the Centura rapid thermal
processing system.

00:47:08.390 --> 00:47:10.200 align:middle line:90%
And it's a single wafer system.

00:47:10.200 --> 00:47:11.870 align:middle line:84%
And you can see it's
like a clamshell.

00:47:11.870 --> 00:47:14.510 align:middle line:84%
The clamshell has
been opened up.

00:47:14.510 --> 00:47:16.430 align:middle line:90%
A wafer goes in, sits here.

00:47:16.430 --> 00:47:19.770 align:middle line:84%
In fact, you can see
where a wafer might sit.

00:47:19.770 --> 00:47:22.992 align:middle line:84%
The clamshell would be down,
and the infrared lamps--

00:47:22.992 --> 00:47:25.200 align:middle line:84%
you can see them glowing--
the infrared lamps heat up

00:47:25.200 --> 00:47:30.560 align:middle line:84%
very rapidly, heat up the
wafer within a few seconds.

00:47:30.560 --> 00:47:33.060 align:middle line:84%
It's in a little quartz chamber
where there's flowing oxygen

00:47:33.060 --> 00:47:34.020 align:middle line:90%
or whatever.

00:47:34.020 --> 00:47:34.650 align:middle line:90%
Heats it up.

00:47:34.650 --> 00:47:37.630 align:middle line:84%
The reaction takes place
and then cools it down.

00:47:37.630 --> 00:47:41.430 align:middle line:84%
So this is a so-called single
wafer rapid thermal processing,

00:47:41.430 --> 00:47:42.750 align:middle line:90%
a method of making oxide.

00:47:42.750 --> 00:47:44.640 align:middle line:84%
So you don't have
to necessarily do

00:47:44.640 --> 00:47:47.230 align:middle line:84%
gate oxides in an old
fashioned furnace anymore.

00:47:47.230 --> 00:47:51.690 align:middle line:84%
You can also do it in these
new pieces of equipment.

00:47:51.690 --> 00:47:55.320 align:middle line:84%
So I want to go on
to slide 30 now.

00:47:55.320 --> 00:47:58.800 align:middle line:84%
And I want to talk
a little bit now

00:47:58.800 --> 00:48:01.290 align:middle line:84%
about a little more
theoretical things, which

00:48:01.290 --> 00:48:04.933 align:middle line:84%
is to talk about the silicon
silicon dioxide interface.

00:48:04.933 --> 00:48:06.600 align:middle line:84%
This is important
from the point of view

00:48:06.600 --> 00:48:09.990 align:middle line:84%
of understanding electrically
the quality of what

00:48:09.990 --> 00:48:11.610 align:middle line:90%
you've produced.

00:48:11.610 --> 00:48:14.220 align:middle line:84%
And it does feed
into how we actually

00:48:14.220 --> 00:48:18.510 align:middle line:84%
do the processes to
grow thermal oxides.

00:48:18.510 --> 00:48:20.787 align:middle line:84%
So this is a cross
section here in pink.

00:48:20.787 --> 00:48:22.620 align:middle line:84%
On the bottom is supposed
to be the silicon,

00:48:22.620 --> 00:48:25.680 align:middle line:84%
and the white
region is the SiO2.

00:48:25.680 --> 00:48:28.680 align:middle line:84%
And back in the
1980s, Bruce Thiel

00:48:28.680 --> 00:48:32.850 align:middle line:84%
suggested that this picture
of electrical defects that

00:48:32.850 --> 00:48:35.250 align:middle line:84%
might exist, the
evidence of which

00:48:35.250 --> 00:48:38.260 align:middle line:84%
had been observed
experimentally.

00:48:38.260 --> 00:48:41.670 align:middle line:84%
And so there are
different types of charges

00:48:41.670 --> 00:48:45.720 align:middle line:84%
here that we're going to talk
about, Qit, Qf, Qot, and Qm.

00:48:45.720 --> 00:48:48.240 align:middle line:84%
On the next slide,
I'll define those.

00:48:48.240 --> 00:48:50.710 align:middle line:84%
One point to make, though,
is that to first order

00:48:50.710 --> 00:48:52.152 align:middle line:90%
the interface is perfect.

00:48:52.152 --> 00:48:54.610 align:middle line:84%
We're going to focus on defects
because we're all neurotic,

00:48:54.610 --> 00:48:56.260 align:middle line:90%
and we're interested in defects.

00:48:56.260 --> 00:48:58.810 align:middle line:84%
But just to stand back
for a moment and think,

00:48:58.810 --> 00:49:04.230 align:middle line:84%
it's perfect in that only one
in about 10 to the fifth atoms

00:49:04.230 --> 00:49:05.077 align:middle line:90%
has a defect.

00:49:05.077 --> 00:49:06.660 align:middle line:84%
So if you were to
go onto that surface

00:49:06.660 --> 00:49:08.760 align:middle line:84%
and walk around at
the interface and just

00:49:08.760 --> 00:49:11.070 align:middle line:84%
count the number
of atoms that where

00:49:11.070 --> 00:49:13.080 align:middle line:84%
there was an unsatisfied
or broken bond,

00:49:13.080 --> 00:49:15.880 align:middle line:84%
you would count 1 for
every 10 to the fifth.

00:49:15.880 --> 00:49:18.090 align:middle line:90%
So that's pretty darn perfect.

00:49:18.090 --> 00:49:19.048 align:middle line:90%
It's still not perfect.

00:49:19.048 --> 00:49:20.882 align:middle line:84%
It's not as perfect as
we'd like to make it.

00:49:20.882 --> 00:49:21.960 align:middle line:90%
We always want better.

00:49:21.960 --> 00:49:23.610 align:middle line:84%
But it's pretty
darn good compared

00:49:23.610 --> 00:49:26.740 align:middle line:84%
to any other semiconductor
insulator system.

00:49:26.740 --> 00:49:29.910 align:middle line:84%
So as a result, the
defect densities

00:49:29.910 --> 00:49:32.460 align:middle line:84%
at the interface we
measure are in this range

00:49:32.460 --> 00:49:35.640 align:middle line:84%
per square centimeter,
10 to the ninth to 10

00:49:35.640 --> 00:49:39.690 align:middle line:84%
to the 11th defects on a
per square centimeter basis.

00:49:39.690 --> 00:49:41.850 align:middle line:84%
Remember, the surface
atom density is about 10

00:49:41.850 --> 00:49:42.420 align:middle line:90%
to the 15th.

00:49:42.420 --> 00:49:45.480 align:middle line:84%
So again, it's about 1 in 10
to the 5, something like that.

00:49:45.480 --> 00:49:48.380 align:middle line:90%


00:49:48.380 --> 00:49:52.180 align:middle line:84%
So let's go on to
slide 31 and talk

00:49:52.180 --> 00:49:55.190 align:middle line:90%
about these different charges.

00:49:55.190 --> 00:49:58.070 align:middle line:84%
So first, there's
basically these four types

00:49:58.070 --> 00:50:01.490 align:middle line:84%
of charges associated
with the insulator itself

00:50:01.490 --> 00:50:04.340 align:middle line:84%
or the semiconductor
insulator interface.

00:50:04.340 --> 00:50:08.000 align:middle line:84%
The first one you may have
heard of called Qf, or Q sub f,

00:50:08.000 --> 00:50:09.860 align:middle line:90%
it's the fixed oxide charge.

00:50:09.860 --> 00:50:14.570 align:middle line:84%
It is represented here by these
little positive plus signs.

00:50:14.570 --> 00:50:17.090 align:middle line:84%
It's a sheet of positive
charge, and it's

00:50:17.090 --> 00:50:20.580 align:middle line:84%
supposed to be within about 2
nanometers of the interface.

00:50:20.580 --> 00:50:22.262 align:middle line:84%
So you might ask me,
well, what happens

00:50:22.262 --> 00:50:24.470 align:middle line:84%
when you make an oxide that's
less than 2 nanometers?

00:50:24.470 --> 00:50:27.080 align:middle line:90%
Well, that's a good question.

00:50:27.080 --> 00:50:28.740 align:middle line:84%
What happens to
the fixed charge?

00:50:28.740 --> 00:50:30.590 align:middle line:84%
So it's not it's
not exactly clear.

00:50:30.590 --> 00:50:35.480 align:middle line:84%
But the fixed charge, it has
a very unique characteristic

00:50:35.480 --> 00:50:37.670 align:middle line:90%
to it, and it's always positive.

00:50:37.670 --> 00:50:40.190 align:middle line:84%
And we'll talk about why
people think that is.

00:50:40.190 --> 00:50:42.800 align:middle line:84%
And you can reduce
its concentration

00:50:42.800 --> 00:50:46.100 align:middle line:84%
by heat treating the oxide after
it's grown, heat treating it

00:50:46.100 --> 00:50:48.930 align:middle line:90%
at a certain temperature.

00:50:48.930 --> 00:50:52.550 align:middle line:84%
So we put into our recipes after
we grow an oxide very often

00:50:52.550 --> 00:50:57.270 align:middle line:84%
an anneal to reduce the fixed
charge to as low as it can go.

00:50:57.270 --> 00:50:57.870 align:middle line:90%
That's Qf.

00:50:57.870 --> 00:51:00.730 align:middle line:90%
It's always positive.

00:51:00.730 --> 00:51:01.730 align:middle line:90%
And it's a fixed number.

00:51:01.730 --> 00:51:03.397 align:middle line:84%
It's fixed in the
sense of, after you've

00:51:03.397 --> 00:51:05.570 align:middle line:84%
done the process,
you have the chip,

00:51:05.570 --> 00:51:09.420 align:middle line:84%
depending on how you bias
the chip, it doesn't change.

00:51:09.420 --> 00:51:12.230 align:middle line:90%
That's not true of Qit.

00:51:12.230 --> 00:51:15.860 align:middle line:84%
Interface trap charge,
Qit, can be either,

00:51:15.860 --> 00:51:18.380 align:middle line:84%
as pictured here by the
little x, x meaning we

00:51:18.380 --> 00:51:20.780 align:middle line:84%
don't know its sign,
it can be either plus,

00:51:20.780 --> 00:51:22.650 align:middle line:90%
it can be neutral or negative.

00:51:22.650 --> 00:51:25.970 align:middle line:84%
And it may change during
normal device operation

00:51:25.970 --> 00:51:29.870 align:middle line:84%
as you change the bias
because electrons or holes can

00:51:29.870 --> 00:51:31.860 align:middle line:90%
be captured.

00:51:31.860 --> 00:51:36.770 align:middle line:84%
So it has a behavior similar
to bulk deep levels, the way

00:51:36.770 --> 00:51:39.720 align:middle line:84%
iron and nickel can trap
electrons and holes,

00:51:39.720 --> 00:51:42.170 align:middle line:84%
the way that's discussed
in chapters 1 and 4.

00:51:42.170 --> 00:51:45.270 align:middle line:90%
So Qit is not fixed.

00:51:45.270 --> 00:51:47.780 align:middle line:84%
It changes with time
depending on how we bias.

00:51:47.780 --> 00:51:52.170 align:middle line:84%
And we'll talk about how
it changes with bias.

00:51:52.170 --> 00:51:55.360 align:middle line:90%
Third type, QM, mobile charge--

00:51:55.360 --> 00:51:59.520 align:middle line:84%
well, as the name suggests--
these ions are mobile.

00:51:59.520 --> 00:52:02.550 align:middle line:84%
That is, they can move in the
oxide from the top surface

00:52:02.550 --> 00:52:04.680 align:middle line:84%
to the bottom surface,
the bottom interface.

00:52:04.680 --> 00:52:07.770 align:middle line:84%
They can move up and down upon
application of electric field.

00:52:07.770 --> 00:52:08.980 align:middle line:90%
They're ionized.

00:52:08.980 --> 00:52:13.025 align:middle line:84%
So if you heat the oxide,
say, to 100, 200, 300 degrees

00:52:13.025 --> 00:52:14.400 align:middle line:84%
and you put electric
field on it,

00:52:14.400 --> 00:52:15.900 align:middle line:84%
you can actually
cause these sodium

00:52:15.900 --> 00:52:19.860 align:middle line:84%
and potassium to move from
here to here and back.

00:52:19.860 --> 00:52:22.800 align:middle line:84%
Mobile ions are less important
in modern manufacturing

00:52:22.800 --> 00:52:24.540 align:middle line:84%
because clean
rooms are so clean.

00:52:24.540 --> 00:52:27.150 align:middle line:84%
People are never allowed
to touch anything.

00:52:27.150 --> 00:52:29.720 align:middle line:84%
Unless you're in a research
lab where people are sloppy

00:52:29.720 --> 00:52:31.470 align:middle line:84%
or something like that,
you don't really--

00:52:31.470 --> 00:52:33.150 align:middle line:84%
you might worry
about mobile ions.

00:52:33.150 --> 00:52:35.900 align:middle line:84%
We do worry about them, of
course, because here at MIT

00:52:35.900 --> 00:52:36.900 align:middle line:90%
we're in a research fab.

00:52:36.900 --> 00:52:38.020 align:middle line:90%
We have a lot of students.

00:52:38.020 --> 00:52:41.295 align:middle line:84%
But in a real fab, people,
in manufacturing sense,

00:52:41.295 --> 00:52:43.170 align:middle line:84%
they're very, very
careful about mobile ions.

00:52:43.170 --> 00:52:45.900 align:middle line:84%
So usually, the mobile
ion constant charge

00:52:45.900 --> 00:52:50.160 align:middle line:84%
is relatively small unless
you've made a mistake.

00:52:50.160 --> 00:52:53.520 align:middle line:84%
Fourth type, Qot,
oxide trap charge, this

00:52:53.520 --> 00:52:55.980 align:middle line:90%
is represented right here.

00:52:55.980 --> 00:52:57.285 align:middle line:90%
It's in the bulk of the oxide.

00:52:57.285 --> 00:52:58.410 align:middle line:90%
Notice, it's drawn up here.

00:52:58.410 --> 00:53:01.110 align:middle line:90%
It's not at the interface.

00:53:01.110 --> 00:53:04.080 align:middle line:84%
It may be created
by other processes

00:53:04.080 --> 00:53:07.020 align:middle line:84%
that the oxide was subjected
to after it was grown.

00:53:07.020 --> 00:53:09.810 align:middle line:84%
The oxide might have been
subjected to plasma etching.

00:53:09.810 --> 00:53:12.480 align:middle line:84%
The plasma could put traps
in because the plasma has

00:53:12.480 --> 00:53:15.900 align:middle line:84%
energetic ions going
into this thing.

00:53:15.900 --> 00:53:18.630 align:middle line:84%
Or it may capture
electrons that are

00:53:18.630 --> 00:53:21.750 align:middle line:84%
holes that are injected into the
oxide during device operation.

00:53:21.750 --> 00:53:24.480 align:middle line:84%
So the energetic electrons may
be coming along the surface

00:53:24.480 --> 00:53:26.910 align:middle line:84%
and, boop, get popped up
by some scattering event

00:53:26.910 --> 00:53:28.290 align:middle line:90%
and create oxide trap charge.

00:53:28.290 --> 00:53:30.060 align:middle line:90%
So it's in the bulk.

00:53:30.060 --> 00:53:32.790 align:middle line:84%
And it may depend, not only
on how the oxide was grown,

00:53:32.790 --> 00:53:34.930 align:middle line:84%
but what happened to
the oxide afterwards.

00:53:34.930 --> 00:53:38.280 align:middle line:84%
So those are the four
characteristic types,

00:53:38.280 --> 00:53:41.790 align:middle line:84%
and we can see their signature
by doing certain types

00:53:41.790 --> 00:53:43.110 align:middle line:90%
of electrical measurements.

00:53:43.110 --> 00:53:45.680 align:middle line:90%


00:53:45.680 --> 00:53:48.992 align:middle line:84%
So let's take a
look at slide 32.

00:53:48.992 --> 00:53:51.200 align:middle line:84%
There are a lot of different
measurement techniques--

00:53:51.200 --> 00:53:53.480 align:middle line:84%
and your book talks about
them-- to understand

00:53:53.480 --> 00:53:54.740 align:middle line:90%
the properties of oxide.

00:53:54.740 --> 00:53:56.495 align:middle line:84%
You can do physical
measurements.

00:53:56.495 --> 00:53:58.370 align:middle line:84%
A very simple physical
measurement any of you

00:53:58.370 --> 00:54:02.000 align:middle line:84%
can do in the lab, take
an oxide and etch it

00:54:02.000 --> 00:54:05.150 align:middle line:84%
with hydrofluoric acid,
and measure its etch rate.

00:54:05.150 --> 00:54:07.340 align:middle line:84%
And it turns out,
the etch rate in Hf,

00:54:07.340 --> 00:54:10.010 align:middle line:84%
so how quickly it
gets removed by Hf

00:54:10.010 --> 00:54:12.890 align:middle line:84%
is a function of the density
and the index of refraction

00:54:12.890 --> 00:54:14.280 align:middle line:90%
of the density oxide.

00:54:14.280 --> 00:54:16.160 align:middle line:84%
So it gives you an
idea of the density.

00:54:16.160 --> 00:54:18.230 align:middle line:84%
You can do scanning
electron micrograph

00:54:18.230 --> 00:54:23.930 align:middle line:84%
or AFM, atomic force, to see
how rough the surface is.

00:54:23.930 --> 00:54:26.930 align:middle line:84%
A very common measurement
is called ellipsometry.

00:54:26.930 --> 00:54:29.630 align:middle line:84%
This is a technique
where you put a laser

00:54:29.630 --> 00:54:33.200 align:middle line:84%
beam into the oxide, and
you look at its reflection.

00:54:33.200 --> 00:54:35.360 align:middle line:84%
And you measure-- actually,
it's a polarized beam.

00:54:35.360 --> 00:54:37.820 align:middle line:84%
You measure the shift
in the polarization.

00:54:37.820 --> 00:54:40.400 align:middle line:84%
And it's a very nice method
of measuring accurately

00:54:40.400 --> 00:54:43.280 align:middle line:84%
the thickness of the
oxide and its index

00:54:43.280 --> 00:54:45.430 align:middle line:84%
of refraction, which tells
you about the density.

00:54:45.430 --> 00:54:48.960 align:middle line:84%
So almost every fab, and
even the research labs,

00:54:48.960 --> 00:54:52.110 align:middle line:84%
have ellipsometers, where
you can take your wafer.

00:54:52.110 --> 00:54:54.487 align:middle line:84%
You'd be able to take this
wafer here from Intel,

00:54:54.487 --> 00:54:55.695 align:middle line:90%
stick it on the ellipsometer.

00:54:55.695 --> 00:54:59.310 align:middle line:84%
It would come back and say
5,000 angstroms or something,

00:54:59.310 --> 00:55:01.050 align:middle line:90%
or a 532 angstroms.

00:55:01.050 --> 00:55:04.128 align:middle line:84%
It can tell you the
oxide thickness.

00:55:04.128 --> 00:55:05.920 align:middle line:84%
What we're going to
talk about a little bit

00:55:05.920 --> 00:55:08.290 align:middle line:90%
here is electrical measurements.

00:55:08.290 --> 00:55:10.390 align:middle line:84%
And some of you may be
familiar with these,

00:55:10.390 --> 00:55:13.480 align:middle line:84%
but there's a measurement
called a capacitance voltage

00:55:13.480 --> 00:55:14.080 align:middle line:90%
technique.

00:55:14.080 --> 00:55:16.780 align:middle line:84%
It's probably the most
powerful measurement technique

00:55:16.780 --> 00:55:19.060 align:middle line:84%
that you can
subject an oxide to.

00:55:19.060 --> 00:55:22.210 align:middle line:84%
If you look in the
text, section 6.4.3,

00:55:22.210 --> 00:55:23.890 align:middle line:84%
there's two or
three pages on it.

00:55:23.890 --> 00:55:26.410 align:middle line:84%
I suggest you want to read
through that, especially

00:55:26.410 --> 00:55:28.450 align:middle line:84%
if you're not familiar
with CV because it

00:55:28.450 --> 00:55:33.530 align:middle line:84%
has a lot more detail than
what we can do in the lecture.

00:55:33.530 --> 00:55:37.180 align:middle line:84%
So let's just go through some
of these CV measurements.

00:55:37.180 --> 00:55:39.502 align:middle line:84%
If you've had basic
courses in electronics,

00:55:39.502 --> 00:55:40.960 align:middle line:84%
you'll be quite
familiar with this.

00:55:40.960 --> 00:55:42.190 align:middle line:84%
And it'll be boring
and a review.

00:55:42.190 --> 00:55:44.800 align:middle line:84%
If you haven't, it'll probably
seem a little bit mysterious.

00:55:44.800 --> 00:55:46.770 align:middle line:90%
But bear with us.

00:55:46.770 --> 00:55:49.270 align:middle line:84%
And again, if you go back and
you read through that section,

00:55:49.270 --> 00:55:50.350 align:middle line:90%
it hopefully will help.

00:55:50.350 --> 00:55:52.000 align:middle line:84%
The main point it will
make, though, hopefully

00:55:52.000 --> 00:55:54.417 align:middle line:84%
is that, by doing a simple
measurement, which doesn't cost

00:55:54.417 --> 00:55:57.730 align:middle line:84%
that much time or money, you
can learn a tremendous amount

00:55:57.730 --> 00:55:59.980 align:middle line:84%
about how that oxide
was grown and what

00:55:59.980 --> 00:56:02.270 align:middle line:90%
happened to it in its life.

00:56:02.270 --> 00:56:04.960 align:middle line:84%
So I'm going to talk about a
technique called high frequency

00:56:04.960 --> 00:56:07.130 align:middle line:90%
capacitance voltage.

00:56:07.130 --> 00:56:08.720 align:middle line:84%
And in order to do
this measurement

00:56:08.720 --> 00:56:10.910 align:middle line:84%
you do need to make a
device, a very simple one.

00:56:10.910 --> 00:56:12.860 align:middle line:84%
In fact, it's the
simplest device probably

00:56:12.860 --> 00:56:15.120 align:middle line:84%
that you can ever
make on silicon.

00:56:15.120 --> 00:56:18.720 align:middle line:84%
What you have is you
take a silicon wafer.

00:56:18.720 --> 00:56:20.060 align:middle line:90%
In this case, it's n-type.

00:56:20.060 --> 00:56:21.170 align:middle line:90%
It's doped with donors.

00:56:21.170 --> 00:56:22.910 align:middle line:90%
And you grow an oxide.

00:56:22.910 --> 00:56:24.590 align:middle line:84%
You take it into the
clean room, put it

00:56:24.590 --> 00:56:28.010 align:middle line:84%
in at 900 degrees in an oxygen
ambient for half an hour.

00:56:28.010 --> 00:56:29.990 align:middle line:84%
You grow a certain
oxide thickness.

00:56:29.990 --> 00:56:33.770 align:middle line:84%
You put metal down, just
evaporate aluminum and pattern

00:56:33.770 --> 00:56:34.820 align:middle line:90%
into little dots.

00:56:34.820 --> 00:56:37.550 align:middle line:84%
And then you make a contact
to the back of the wafer,

00:56:37.550 --> 00:56:39.620 align:middle line:84%
and you put a probe down
the front of the wafer.

00:56:39.620 --> 00:56:41.150 align:middle line:84%
So relatively
simple measurement.

00:56:41.150 --> 00:56:45.860 align:middle line:84%
We do this here at MIT
in a class called 6.152J.

00:56:45.860 --> 00:56:46.490 align:middle line:90%
Very simple.

00:56:46.490 --> 00:56:49.820 align:middle line:84%
You make an MOS
capacitor in the lab.

00:56:49.820 --> 00:56:51.830 align:middle line:84%
This is physically
what it looks like.

00:56:51.830 --> 00:56:54.350 align:middle line:84%
It's got silicon,
oxide, and metal.

00:56:54.350 --> 00:56:56.240 align:middle line:84%
This little symbol
in the middle is

00:56:56.240 --> 00:56:57.980 align:middle line:84%
meant to represent
from the circuit

00:56:57.980 --> 00:57:00.290 align:middle line:84%
engine or the electrical
engineers or physics point

00:57:00.290 --> 00:57:01.800 align:middle line:90%
of view what it looks like.

00:57:01.800 --> 00:57:02.570 align:middle line:90%
It's a capacitor.

00:57:02.570 --> 00:57:06.920 align:middle line:84%
It's two electrodes with
contacts on either side.

00:57:06.920 --> 00:57:09.500 align:middle line:84%
And what I'm showing
in this plot here

00:57:09.500 --> 00:57:13.880 align:middle line:84%
is the capacitance on the
y-axis as measured as a function

00:57:13.880 --> 00:57:14.760 align:middle line:90%
of the gate voltage.

00:57:14.760 --> 00:57:17.090 align:middle line:84%
So the amount of
voltage put on the gate

00:57:17.090 --> 00:57:19.370 align:middle line:84%
is referred to as that
little aluminum dot

00:57:19.370 --> 00:57:21.570 align:middle line:90%
on the surface of the wafer.

00:57:21.570 --> 00:57:25.280 align:middle line:84%
And we've biased this
particular wafer in such a way

00:57:25.280 --> 00:57:28.940 align:middle line:84%
that it's got a positive
bias on the aluminum dot.

00:57:28.940 --> 00:57:31.310 align:middle line:84%
In that case, electrons
from the substrate

00:57:31.310 --> 00:57:32.870 align:middle line:84%
will be attracted
to the surface.

00:57:32.870 --> 00:57:35.480 align:middle line:84%
And we do what we
call-- we accumulate

00:57:35.480 --> 00:57:37.610 align:middle line:90%
the substrate, the surface.

00:57:37.610 --> 00:57:40.940 align:middle line:84%
The primary majority
carrier in the silicon

00:57:40.940 --> 00:57:42.170 align:middle line:90%
is electrons anyway.

00:57:42.170 --> 00:57:45.000 align:middle line:84%
But I get more of them right
at that silicon-silicon-dioxide

00:57:45.000 --> 00:57:45.500 align:middle line:90%
interface.

00:57:45.500 --> 00:57:46.890 align:middle line:90%
I accumulate them.

00:57:46.890 --> 00:57:50.588 align:middle line:84%
And so if I were to measure
the capacitance of this thing,

00:57:50.588 --> 00:57:52.880 align:middle line:84%
it looks just like a parallel
plate from basic physics.

00:57:52.880 --> 00:57:54.080 align:middle line:90%
I have aluminum.

00:57:54.080 --> 00:57:55.190 align:middle line:90%
I have a dielectric.

00:57:55.190 --> 00:57:56.870 align:middle line:84%
I have another
sheet of electrons.

00:57:56.870 --> 00:57:58.310 align:middle line:90%
Acts sort of metallic.

00:57:58.310 --> 00:57:59.630 align:middle line:90%
That's called a capacitor.

00:57:59.630 --> 00:58:03.343 align:middle line:84%
The capacitance you measure
is the dielectric capacitance

00:58:03.343 --> 00:58:04.760 align:middle line:84%
related to the
dielectric constant

00:58:04.760 --> 00:58:06.770 align:middle line:90%
and the thickness, c-ox.

00:58:06.770 --> 00:58:09.990 align:middle line:84%
So as long as I bias it was
sufficiently positive voltage,

00:58:09.990 --> 00:58:11.070 align:middle line:90%
I get a constant.

00:58:11.070 --> 00:58:13.600 align:middle line:84%
The capacitance is
independent of the gate bias.

00:58:13.600 --> 00:58:15.740 align:middle line:90%
So that's accumulation.

00:58:15.740 --> 00:58:17.510 align:middle line:84%
Now we start taking
the gate bias

00:58:17.510 --> 00:58:19.380 align:middle line:90%
and start making it negative.

00:58:19.380 --> 00:58:24.510 align:middle line:84%
So this vg now goes to 0 and
then to a negative number.

00:58:24.510 --> 00:58:27.020 align:middle line:84%
Well, when that happens, we
get something actually calling

00:58:27.020 --> 00:58:27.650 align:middle line:90%
depletion.

00:58:27.650 --> 00:58:29.640 align:middle line:84%
And depletion, as
the name suggests,

00:58:29.640 --> 00:58:32.630 align:middle line:84%
means that the surface region
is now, instead of accumulated,

00:58:32.630 --> 00:58:34.610 align:middle line:90%
it's depleted of free electrons.

00:58:34.610 --> 00:58:36.650 align:middle line:84%
The free carriers
are now pushed away

00:58:36.650 --> 00:58:38.840 align:middle line:84%
from the surface, shown
sort of schematically

00:58:38.840 --> 00:58:40.850 align:middle line:84%
by this arrow, the
electrons going away.

00:58:40.850 --> 00:58:43.640 align:middle line:84%
And we form a region here
of a certain thickness,

00:58:43.640 --> 00:58:46.820 align:middle line:84%
x sub d, where there
are no electrons.

00:58:46.820 --> 00:58:48.470 align:middle line:90%
There are no majority carriers.

00:58:48.470 --> 00:58:50.540 align:middle line:90%
It's depleted of free carriers.

00:58:50.540 --> 00:58:53.090 align:middle line:84%
And this x sub d region is
called the depletion region.

00:58:53.090 --> 00:58:54.950 align:middle line:90%
It has a certain thickness.

00:58:54.950 --> 00:58:57.470 align:middle line:84%
And in fact, the thickness
of that depleted region,

00:58:57.470 --> 00:59:00.080 align:middle line:84%
the thickness of xd
depends on the bias.

00:59:00.080 --> 00:59:04.010 align:middle line:84%
As I make it more
negative, xd grows.

00:59:04.010 --> 00:59:06.155 align:middle line:84%
In fact, what we
have electrically,

00:59:06.155 --> 00:59:08.030 align:middle line:84%
if you want to look at
the circuit schematic,

00:59:08.030 --> 00:59:09.470 align:middle line:84%
we have two
capacitors in series.

00:59:09.470 --> 00:59:12.240 align:middle line:84%
We have an oxide capacitor
from here to here.

00:59:12.240 --> 00:59:14.900 align:middle line:84%
And we have a
depletion capacitance

00:59:14.900 --> 00:59:17.270 align:middle line:84%
in the semiconductor,
which is a variable.

00:59:17.270 --> 00:59:18.810 align:middle line:90%
And it depends on the voltage.

00:59:18.810 --> 00:59:21.765 align:middle line:84%
So in fact, if you
measure the capacitance,

00:59:21.765 --> 00:59:22.640 align:middle line:90%
it starts to go down.

00:59:22.640 --> 00:59:27.680 align:middle line:84%
And you're sweeping out a curve
as you make it more negative.

00:59:27.680 --> 00:59:29.530 align:middle line:84%
So if you go on to
slide 34 and you

00:59:29.530 --> 00:59:31.120 align:middle line:84%
continue on making
it more negative,

00:59:31.120 --> 00:59:35.100 align:middle line:84%
you finally hit a point
called v threshold.

00:59:35.100 --> 00:59:39.300 align:middle line:84%
And right at that point, you're
at something called inversion.

00:59:39.300 --> 00:59:40.800 align:middle line:84%
And in fact, what's
happened, you've

00:59:40.800 --> 00:59:42.930 align:middle line:84%
put so much negative
charge on the gate

00:59:42.930 --> 00:59:46.530 align:middle line:84%
that you actually start getting
positive holes attracted

00:59:46.530 --> 00:59:48.810 align:middle line:84%
to that interface, to
that top interface.

00:59:48.810 --> 00:59:51.480 align:middle line:84%
So you've now formed
an inversion layer.

00:59:51.480 --> 00:59:54.300 align:middle line:84%
If you're a circuit design
person, right at VT,

00:59:54.300 --> 00:59:57.510 align:middle line:84%
that's where the device
turns on for a MOSFET.

00:59:57.510 --> 01:00:00.240 align:middle line:84%
That's where you've just
formed a conducting channel.

01:00:00.240 --> 01:00:02.790 align:middle line:84%
This bright red region
here is the holes

01:00:02.790 --> 01:00:04.600 align:middle line:90%
in the inversion layer.

01:00:04.600 --> 01:00:06.810 align:middle line:84%
So in an n type
semiconductor, in inversion,

01:00:06.810 --> 01:00:12.270 align:middle line:84%
you have a p type in a layer
of holes at the interface.

01:00:12.270 --> 01:00:15.510 align:middle line:84%
This xd, which I said was
expanding, it stops expanding.

01:00:15.510 --> 01:00:17.160 align:middle line:90%
It reaches its maximum.

01:00:17.160 --> 01:00:19.590 align:middle line:84%
And all of a sudden, you
get a constant capacitance.

01:00:19.590 --> 01:00:21.090 align:middle line:84%
You notice the
capacitance curve now

01:00:21.090 --> 01:00:24.040 align:middle line:84%
is flattened out,
which is just a series

01:00:24.040 --> 01:00:29.440 align:middle line:84%
capacitance of this c-ox
and this c depletion region,

01:00:29.440 --> 01:00:31.920 align:middle line:84%
where the depletion
region is maxed out.

01:00:31.920 --> 01:00:34.100 align:middle line:84%
So you trace out a
very simple looking

01:00:34.100 --> 01:00:38.810 align:middle line:84%
curve, which we'll see how
the properties of this oxide

01:00:38.810 --> 01:00:39.830 align:middle line:90%
affect this curve.

01:00:39.830 --> 01:00:42.770 align:middle line:84%
But the basic idea is that all
regions, no matter where you're

01:00:42.770 --> 01:00:45.620 align:middle line:84%
operating this device, the
amount of charge that's

01:00:45.620 --> 01:00:47.810 align:middle line:84%
on the gate here,
on the aluminum,

01:00:47.810 --> 01:00:50.840 align:middle line:84%
has to be balanced by the
charges in the substrate.

01:00:50.840 --> 01:00:53.300 align:middle line:84%
And the charges in the
substrate will be either

01:00:53.300 --> 01:00:56.180 align:middle line:84%
the depletion charge consisting
of the charge associated

01:00:56.180 --> 01:00:57.980 align:middle line:84%
with the donors in
the depletion region,

01:00:57.980 --> 01:01:00.800 align:middle line:84%
or the inversion charge,
which is also positive, which

01:01:00.800 --> 01:01:02.580 align:middle line:90%
are these holes in this region.

01:01:02.580 --> 01:01:05.522 align:middle line:84%
So that's kind of a basic
charge neutrality overall

01:01:05.522 --> 01:01:06.230 align:middle line:90%
that has to hold.

01:01:06.230 --> 01:01:09.100 align:middle line:90%


01:01:09.100 --> 01:01:12.660 align:middle line:84%
So let's go on to
slide 36 briefly.

01:01:12.660 --> 01:01:14.848 align:middle line:84%
This is a little more
detailed solid state physics

01:01:14.848 --> 01:01:16.140 align:middle line:90%
than most you need to get into.

01:01:16.140 --> 01:01:18.432 align:middle line:84%
If you're familiar with it,
again, it'll be a reminder.

01:01:18.432 --> 01:01:22.170 align:middle line:84%
If not, you have to
take it as a truth.

01:01:22.170 --> 01:01:25.980 align:middle line:84%
The question is, once I've
formed this inversion layer

01:01:25.980 --> 01:01:28.860 align:middle line:84%
and I have this
Q sub I and I add

01:01:28.860 --> 01:01:31.260 align:middle line:84%
additional charge
to the gate, it's

01:01:31.260 --> 01:01:33.300 align:middle line:84%
balanced by more
inversion charge.

01:01:33.300 --> 01:01:36.880 align:middle line:84%
You might say, well, why
doesn't xd just keep growing?

01:01:36.880 --> 01:01:38.380 align:middle line:90%
People always wonder about that.

01:01:38.380 --> 01:01:40.540 align:middle line:84%
Why do we always get more
inversion charge instead?

01:01:40.540 --> 01:01:43.180 align:middle line:84%
Well, it turns out it's just
a lot easier at that point

01:01:43.180 --> 01:01:45.550 align:middle line:84%
to create inversion
charge, to create

01:01:45.550 --> 01:01:46.940 align:middle line:90%
these holes at the interface.

01:01:46.940 --> 01:01:49.630 align:middle line:84%
In fact, if you're taking a
solid state physics class,

01:01:49.630 --> 01:01:52.670 align:middle line:84%
you know that that hole density
looks something like this.

01:01:52.670 --> 01:01:57.010 align:middle line:84%
In fact, it has an exponential
dependence on that voltage,

01:01:57.010 --> 01:01:58.990 align:middle line:84%
on how we move that
potential up and down.

01:01:58.990 --> 01:02:00.593 align:middle line:84%
So exponential
means we only have

01:02:00.593 --> 01:02:02.260 align:middle line:84%
to move the potential
just a little bit,

01:02:02.260 --> 01:02:04.930 align:middle line:84%
and we can get
exponentially more carriers.

01:02:04.930 --> 01:02:07.330 align:middle line:84%
So it's a lot easier to
create this inversion

01:02:07.330 --> 01:02:10.690 align:middle line:84%
charge at this point than it
is to create more depletion

01:02:10.690 --> 01:02:11.230 align:middle line:90%
charge.

01:02:11.230 --> 01:02:13.462 align:middle line:84%
So that's kind of a
reason why that happens.

01:02:13.462 --> 01:02:14.920 align:middle line:84%
If you're familiar
with it, that'll

01:02:14.920 --> 01:02:16.495 align:middle line:90%
just remind you how that works.

01:02:16.495 --> 01:02:19.120 align:middle line:90%


01:02:19.120 --> 01:02:20.555 align:middle line:90%
So let's go on to slide 36.

01:02:20.555 --> 01:02:21.930 align:middle line:84%
And now, I've
traced out-- again,

01:02:21.930 --> 01:02:24.450 align:middle line:84%
this is a very
schematic sort of view.

01:02:24.450 --> 01:02:26.850 align:middle line:84%
But I've traced out
a plot of capacitance

01:02:26.850 --> 01:02:28.110 align:middle line:90%
on the vertical axis.

01:02:28.110 --> 01:02:31.410 align:middle line:84%
And the x-axis is
DC gate voltage.

01:02:31.410 --> 01:02:33.600 align:middle line:84%
And we just traced out
for you this black curve,

01:02:33.600 --> 01:02:36.180 align:middle line:84%
where we started at
c-ox, a constant number.

01:02:36.180 --> 01:02:39.510 align:middle line:84%
As I sweep down through
0, I go in depletion.

01:02:39.510 --> 01:02:43.710 align:middle line:84%
And it goes down, and then the
capacitance reaches a minimum.

01:02:43.710 --> 01:02:47.070 align:middle line:84%
And that's what an ideal
high-frequency capacitance

01:02:47.070 --> 01:02:50.430 align:middle line:90%
curve would look like.

01:02:50.430 --> 01:02:56.085 align:middle line:84%
Now, basically, so
what happens when

01:02:56.085 --> 01:02:57.210 align:middle line:90%
we go to a lower frequency?

01:02:57.210 --> 01:02:58.830 align:middle line:84%
Well, I have another
curve here where

01:02:58.830 --> 01:03:01.260 align:middle line:84%
we swept through this
region, through depletion.

01:03:01.260 --> 01:03:02.760 align:middle line:84%
And then all of a
sudden, the curve,

01:03:02.760 --> 01:03:06.690 align:middle line:84%
right after threshold in
inversion at low frequencies,

01:03:06.690 --> 01:03:09.750 align:middle line:84%
the capacitance goes
back up to c-ox.

01:03:09.750 --> 01:03:11.730 align:middle line:84%
Well, it's because if
I have a signal that's

01:03:11.730 --> 01:03:14.790 align:middle line:84%
going at low enough frequencies,
the inversion layer carriers

01:03:14.790 --> 01:03:16.480 align:middle line:90%
can actually follow that signal.

01:03:16.480 --> 01:03:19.720 align:middle line:84%
So instead of just getting
this minimum capacitance

01:03:19.720 --> 01:03:22.640 align:middle line:84%
of these two in
capacitors in series,

01:03:22.640 --> 01:03:27.040 align:middle line:84%
it actually goes back up to look
like a normal parallel plate

01:03:27.040 --> 01:03:28.820 align:middle line:90%
capacitor with capacitance c-ox.

01:03:28.820 --> 01:03:30.320 align:middle line:84%
In fact, if we go
to the next slide.

01:03:30.320 --> 01:03:34.750 align:middle line:84%
I think it explains it a little
bit more physically on slide

01:03:34.750 --> 01:03:37.400 align:middle line:90%
37, the different regions.

01:03:37.400 --> 01:03:39.280 align:middle line:84%
So in accumulation,
remember, we said

01:03:39.280 --> 01:03:41.290 align:middle line:84%
we just had a regular
parallel plate capacitor,

01:03:41.290 --> 01:03:42.340 align:middle line:90%
capacitance c-ox.

01:03:42.340 --> 01:03:45.893 align:middle line:84%
I wiggle charge here
on the metal gate,

01:03:45.893 --> 01:03:47.560 align:middle line:84%
and you wiggle a
little bit equal amount

01:03:47.560 --> 01:03:49.720 align:middle line:90%
of charge in the substrate.

01:03:49.720 --> 01:03:51.382 align:middle line:90%
In depletion, what's happening?

01:03:51.382 --> 01:03:52.840 align:middle line:84%
You're wiggling
charge on the gate.

01:03:52.840 --> 01:03:56.280 align:middle line:84%
And instead of accumulating,
you're actually depleting.

01:03:56.280 --> 01:03:58.030 align:middle line:84%
And you're wiggling
charge at the back end

01:03:58.030 --> 01:04:00.580 align:middle line:84%
of the space charge region,
which is sweeping out.

01:04:00.580 --> 01:04:02.660 align:middle line:84%
And that's why the
capacitance goes down.

01:04:02.660 --> 01:04:06.490 align:middle line:84%
Now, if I'm at low
frequency, and I'm inverted,

01:04:06.490 --> 01:04:09.820 align:middle line:84%
I've created this inversion
layer here of positive charge.

01:04:09.820 --> 01:04:13.990 align:middle line:84%
If I wiggle charge on the
gate, it's low enough frequency

01:04:13.990 --> 01:04:17.410 align:middle line:84%
that I can actually wiggle
charge in the inversion layer.

01:04:17.410 --> 01:04:20.075 align:middle line:84%
However, if I'm at a bias
where I'm in inversion

01:04:20.075 --> 01:04:21.700 align:middle line:84%
but I'm doing it a
very high frequency,

01:04:21.700 --> 01:04:25.990 align:middle line:84%
say, megahertz or 100
kilohertz, the inversion layer

01:04:25.990 --> 01:04:27.190 align:middle line:90%
can't respond that fast.

01:04:27.190 --> 01:04:29.200 align:middle line:84%
But the depletion
region actually can.

01:04:29.200 --> 01:04:33.980 align:middle line:84%
So you actually get
the series capacitance

01:04:33.980 --> 01:04:36.300 align:middle line:84%
of both the inversion layer
and the depletion layer.

01:04:36.300 --> 01:04:38.660 align:middle line:84%
So this is all reasonably
well understood if you

01:04:38.660 --> 01:04:40.490 align:middle line:84%
want to read in
[? Peres ?] book,

01:04:40.490 --> 01:04:43.010 align:middle line:84%
it has a little more
detailed explanation

01:04:43.010 --> 01:04:45.500 align:middle line:84%
of these different regimes
or regions of the curve.

01:04:45.500 --> 01:04:48.180 align:middle line:90%


01:04:48.180 --> 01:04:51.470 align:middle line:84%
So there's another
region that tells us

01:04:51.470 --> 01:04:53.450 align:middle line:84%
something of the
CV curve, which is

01:04:53.450 --> 01:04:54.950 align:middle line:84%
going to end up
telling us something

01:04:54.950 --> 01:04:56.640 align:middle line:90%
about the quality of the oxide.

01:04:56.640 --> 01:04:58.280 align:middle line:90%
And it's called deep depletion.

01:04:58.280 --> 01:05:00.992 align:middle line:84%
And I've marked that region
here on a high-frequency curve,

01:05:00.992 --> 01:05:02.450 align:middle line:84%
where it actually,
instead of being

01:05:02.450 --> 01:05:06.390 align:middle line:84%
flat going straight across,
it actually starts to go down.

01:05:06.390 --> 01:05:08.930 align:middle line:84%
And what we've done
in deep depletion--

01:05:08.930 --> 01:05:12.140 align:middle line:84%
remember, in this regime
we have two capacitors

01:05:12.140 --> 01:05:14.780 align:middle line:84%
in series, the oxide and
the depletion region--

01:05:14.780 --> 01:05:19.180 align:middle line:84%
is that we sweep the DC voltage
very fast so that the inversion

01:05:19.180 --> 01:05:20.770 align:middle line:90%
layer carries can't follow it.

01:05:20.770 --> 01:05:23.950 align:middle line:84%
So xd ends up
expanding a little bit.

01:05:23.950 --> 01:05:26.683 align:middle line:84%
And in fact, if you
see deep depletion,

01:05:26.683 --> 01:05:29.350 align:middle line:84%
it's a sign that you have a very
high minority carrier lifetime.

01:05:29.350 --> 01:05:31.300 align:middle line:90%
You have very few traps.

01:05:31.300 --> 01:05:33.710 align:middle line:84%
You don't have much iron
and things like that.

01:05:33.710 --> 01:05:35.830 align:middle line:84%
So people will often
take capacitors

01:05:35.830 --> 01:05:38.320 align:middle line:84%
and try to intentionally
sweep the CV quickly,

01:05:38.320 --> 01:05:41.230 align:middle line:84%
see if they can get this
lowering, this deep depletion.

01:05:41.230 --> 01:05:43.900 align:middle line:84%
The faster you sweep it,
the further down it goes.

01:05:43.900 --> 01:05:45.572 align:middle line:84%
If you don't see
that lowering, you

01:05:45.572 --> 01:05:47.530 align:middle line:84%
don't have very good
minority carrier lifetime.

01:05:47.530 --> 01:05:49.780 align:middle line:84%
You probably have a
lot of traps or things

01:05:49.780 --> 01:05:51.410 align:middle line:90%
somewhere at that interface.

01:05:51.410 --> 01:05:54.070 align:middle line:84%
So this is a way of getting
a rough idea of what

01:05:54.070 --> 01:05:56.500 align:middle line:84%
kind of quality interface
have you produced?

01:05:56.500 --> 01:05:58.615 align:middle line:84%
Can you deep deplete
the capacitor or not?

01:05:58.615 --> 01:06:02.540 align:middle line:90%


01:06:02.540 --> 01:06:06.430 align:middle line:84%
So basically, from looking
at these capacitance voltage

01:06:06.430 --> 01:06:09.430 align:middle line:84%
measurements, we
can extract a lot

01:06:09.430 --> 01:06:11.360 align:middle line:90%
of quantitative information.

01:06:11.360 --> 01:06:13.080 align:middle line:84%
In fact, we can get
the oxide thickness.

01:06:13.080 --> 01:06:14.360 align:middle line:90%
Remember, we had c-ox.

01:06:14.360 --> 01:06:18.430 align:middle line:84%
C-ox just depends on
the dielectric constant

01:06:18.430 --> 01:06:19.540 align:middle line:90%
and the oxide thickness.

01:06:19.540 --> 01:06:21.580 align:middle line:84%
So once I get that
number, I know the area,

01:06:21.580 --> 01:06:23.380 align:middle line:84%
I can calculate the
oxide thickness.

01:06:23.380 --> 01:06:28.150 align:middle line:84%
I can get the substrate doping
from the depletion capacitance.

01:06:28.150 --> 01:06:31.060 align:middle line:84%
And you can get all these
different interface charges,

01:06:31.060 --> 01:06:35.650 align:middle line:84%
Qf, Qit, the mobile, and the
oxide trap charge, all of those

01:06:35.650 --> 01:06:38.860 align:middle line:84%
just by doing CV measurements in
their different configurations

01:06:38.860 --> 01:06:39.670 align:middle line:90%
and frequencies.

01:06:39.670 --> 01:06:41.440 align:middle line:84%
We can get this
information, which

01:06:41.440 --> 01:06:45.400 align:middle line:84%
tells you about the electrical
quality of the device.

01:06:45.400 --> 01:06:48.490 align:middle line:90%


01:06:48.490 --> 01:06:51.600 align:middle line:84%
So in fact, on slide
40, what I'm showing

01:06:51.600 --> 01:06:56.280 align:middle line:84%
are some quote unquote
"realistic" capacitance voltage

01:06:56.280 --> 01:06:58.590 align:middle line:84%
curves, much more like you
would measure in the lab.

01:06:58.590 --> 01:07:01.348 align:middle line:84%
What we've shown so
far on a [? cv ?] plot,

01:07:01.348 --> 01:07:02.140 align:middle line:90%
it looks like this.

01:07:02.140 --> 01:07:04.290 align:middle line:90%
So we have this curve here.

01:07:04.290 --> 01:07:06.210 align:middle line:84%
Here in accumulation
we're at c-ox.

01:07:06.210 --> 01:07:09.740 align:middle line:84%
It comes down and
sweeps out like this.

01:07:09.740 --> 01:07:11.820 align:middle line:84%
So that's the ideal
high-frequency curve.

01:07:11.820 --> 01:07:14.320 align:middle line:84%
In fact, that's not what you
would measure in a real device.

01:07:14.320 --> 01:07:17.720 align:middle line:84%
You would measure that curve
but shifted over to the left.

01:07:17.720 --> 01:07:19.930 align:middle line:84%
So if you look at
this curve right here,

01:07:19.930 --> 01:07:22.510 align:middle line:90%
you see it's shifted.

01:07:22.510 --> 01:07:25.090 align:middle line:84%
And in fact, it's the
high-frequency curve

01:07:25.090 --> 01:07:27.070 align:middle line:90%
but shifted by two terms.

01:07:27.070 --> 01:07:28.900 align:middle line:90%
And the terms look like this.

01:07:28.900 --> 01:07:33.550 align:middle line:84%
There's one term that goes like
the coulombic charge, little q,

01:07:33.550 --> 01:07:38.150 align:middle line:84%
times Qf, the fixed
charge, divided by c-ox.

01:07:38.150 --> 01:07:40.070 align:middle line:90%
So this is the Qf term.

01:07:40.070 --> 01:07:42.230 align:middle line:84%
This is just-- remember,
Qf is positive.

01:07:42.230 --> 01:07:44.270 align:middle line:84%
So it just literally takes
the threshold voltage

01:07:44.270 --> 01:07:46.580 align:middle line:90%
and shifts it by Qf over c-ox.

01:07:46.580 --> 01:07:49.280 align:middle line:84%
So you see this shift because
of this positive fixed charge.

01:07:49.280 --> 01:07:52.160 align:middle line:84%
The bigger the fixed charge,
the bigger that shift.

01:07:52.160 --> 01:07:54.590 align:middle line:84%
And in fact, it's the
shift from the ideal curve

01:07:54.590 --> 01:07:55.400 align:middle line:90%
that people use.

01:07:55.400 --> 01:07:59.120 align:middle line:84%
That's the way people
use to measure Qf.

01:07:59.120 --> 01:08:02.360 align:middle line:84%
Phi [? M S ?] is the metal
semiconductor work function

01:08:02.360 --> 01:08:05.360 align:middle line:84%
difference, which is just sort
of a property of the metal

01:08:05.360 --> 01:08:09.750 align:middle line:84%
that you use, whether you
use aluminum or what you use.

01:08:09.750 --> 01:08:11.750 align:middle line:84%
So there's also a shift
associated with that.

01:08:11.750 --> 01:08:14.000 align:middle line:84%
And that's a fixed number
depending on the polysilicon

01:08:14.000 --> 01:08:16.200 align:middle line:90%
gate that you used.

01:08:16.200 --> 01:08:17.750 align:middle line:84%
So with this
positive fixed charge

01:08:17.750 --> 01:08:20.960 align:middle line:84%
shifts the CV to the left,
and you get this curve.

01:08:20.960 --> 01:08:22.170 align:middle line:90%
That's a good sign.

01:08:22.170 --> 01:08:23.810 align:middle line:84%
Now, most of you
would actually, if you

01:08:23.810 --> 01:08:26.090 align:middle line:84%
were to measure your devices,
you'd get a distorted curve.

01:08:26.090 --> 01:08:27.740 align:middle line:84%
Instead of looking
just like with this,

01:08:27.740 --> 01:08:29.667 align:middle line:84%
with this abrupt
drop off, you'd see

01:08:29.667 --> 01:08:32.000 align:middle line:84%
it looks a little bit distorted
from what you calculated

01:08:32.000 --> 01:08:34.100 align:middle line:90%
in the ideal case.

01:08:34.100 --> 01:08:36.890 align:middle line:84%
And in fact, this distortion
is due to the fact

01:08:36.890 --> 01:08:39.380 align:middle line:84%
that there is variable
interface trap charge.

01:08:39.380 --> 01:08:41.960 align:middle line:90%
Remember, we talked about Qit?

01:08:41.960 --> 01:08:44.660 align:middle line:84%
And we said the amount
of charge and Qit

01:08:44.660 --> 01:08:47.250 align:middle line:90%
depends on the bias voltage?

01:08:47.250 --> 01:08:50.120 align:middle line:84%
So as I'm sweeping from
here from right to left,

01:08:50.120 --> 01:08:53.330 align:middle line:84%
I'm uncovering or
causing extra--

01:08:53.330 --> 01:08:57.020 align:middle line:84%
my ability to see, to
charge an uncharge Qit.

01:08:57.020 --> 01:08:59.670 align:middle line:84%
And that ends up shifting the
curve by variable amounts.

01:08:59.670 --> 01:09:01.109 align:middle line:90%
So it gets distorted.

01:09:01.109 --> 01:09:03.350 align:middle line:84%
So the amount of
distortion is a way

01:09:03.350 --> 01:09:04.970 align:middle line:84%
of telling how
much Qit you have.

01:09:04.970 --> 01:09:07.920 align:middle line:90%


01:09:07.920 --> 01:09:10.109 align:middle line:84%
And in fact, if you
look on slide 41,

01:09:10.109 --> 01:09:12.569 align:middle line:90%
this is pictured for you.

01:09:12.569 --> 01:09:14.670 align:middle line:84%
If you've had solid
state physics class

01:09:14.670 --> 01:09:17.939 align:middle line:84%
and you know about energy
band diagrams and states,

01:09:17.939 --> 01:09:20.729 align:middle line:84%
then this is a way of
thinking about that.

01:09:20.729 --> 01:09:22.649 align:middle line:84%
If you haven't, again,
it's the type of thing

01:09:22.649 --> 01:09:27.390 align:middle line:84%
you'll have to take with a
grain of salt or study up on it.

01:09:27.390 --> 01:09:31.460 align:middle line:84%
So what we have pictorially here
up in this upper band diagram

01:09:31.460 --> 01:09:34.880 align:middle line:84%
is the conduction band
here shown of the silicon.

01:09:34.880 --> 01:09:36.172 align:middle line:90%
And here's the valence band.

01:09:36.172 --> 01:09:37.880 align:middle line:84%
So here's the band
gap between those two.

01:09:37.880 --> 01:09:39.649 align:middle line:84%
This is the semiconductor
of a silicon,

01:09:39.649 --> 01:09:41.149 align:middle line:90%
and on the left is the oxide.

01:09:41.149 --> 01:09:42.890 align:middle line:84%
And notice, right
at the interface,

01:09:42.890 --> 01:09:44.540 align:middle line:84%
there's a whole bunch
of little levels.

01:09:44.540 --> 01:09:47.750 align:middle line:84%
Each little bar here
represents an energy level

01:09:47.750 --> 01:09:49.340 align:middle line:90%
that electron can occupy.

01:09:49.340 --> 01:09:51.350 align:middle line:84%
And you notice that
there are energy levels

01:09:51.350 --> 01:09:52.880 align:middle line:90%
within the entire band gap.

01:09:52.880 --> 01:09:56.850 align:middle line:84%
There are certain density of
states throughout the band gap.

01:09:56.850 --> 01:09:58.890 align:middle line:84%
And we're going to assume
they're donor type,

01:09:58.890 --> 01:10:00.810 align:middle line:90%
and they're distributed somehow.

01:10:00.810 --> 01:10:02.460 align:middle line:84%
Their donor type,
meaning that they're

01:10:02.460 --> 01:10:04.180 align:middle line:90%
positive when they're empty.

01:10:04.180 --> 01:10:05.860 align:middle line:84%
So if there's no
electron in there,

01:10:05.860 --> 01:10:07.680 align:middle line:90%
this has a positive charge.

01:10:07.680 --> 01:10:12.320 align:middle line:84%
If it captures an
electron, it's neutral, OK?

01:10:12.320 --> 01:10:14.030 align:middle line:84%
So now we look at
this energy band

01:10:14.030 --> 01:10:17.690 align:middle line:84%
diagram in the center set
of curves for different bias

01:10:17.690 --> 01:10:18.720 align:middle line:90%
conditions.

01:10:18.720 --> 01:10:20.810 align:middle line:84%
So we can look at
it under inversion.

01:10:20.810 --> 01:10:25.880 align:middle line:84%
So when the surface is inverted,
it turns out that Qit is large,

01:10:25.880 --> 01:10:26.900 align:middle line:90%
and it's positive.

01:10:26.900 --> 01:10:28.080 align:middle line:90%
It's mostly empty.

01:10:28.080 --> 01:10:29.180 align:middle line:90%
We have the bands bent.

01:10:29.180 --> 01:10:32.370 align:middle line:84%
None of these have
any electrons in them.

01:10:32.370 --> 01:10:36.110 align:middle line:84%
So I have now a lot of positive
charge at that interface

01:10:36.110 --> 01:10:38.840 align:middle line:90%
under that bias condition, OK?

01:10:38.840 --> 01:10:43.010 align:middle line:84%
So here I am at inversion,
region C on this bottom curve.

01:10:43.010 --> 01:10:45.260 align:middle line:84%
And lo and behold, I have
a lot of positive charge.

01:10:45.260 --> 01:10:48.140 align:middle line:84%
That means I am shifted
from the ideal case quite

01:10:48.140 --> 01:10:49.400 align:middle line:90%
a bit to the left.

01:10:49.400 --> 01:10:52.760 align:middle line:84%
And you see why in region
C of this realistic curve

01:10:52.760 --> 01:10:54.930 align:middle line:90%
I'm shifted quite far over.

01:10:54.930 --> 01:10:56.700 align:middle line:90%
So I'm distorted.

01:10:56.700 --> 01:10:58.650 align:middle line:84%
So now let's go to
region B of that curve.

01:10:58.650 --> 01:11:01.920 align:middle line:84%
So that's here under
depletion in the center.

01:11:01.920 --> 01:11:03.910 align:middle line:84%
When I'm depleted, the
bias voltage, again,

01:11:03.910 --> 01:11:05.573 align:middle line:90%
is a little bit closer to 0.

01:11:05.573 --> 01:11:06.990 align:middle line:84%
I don't have as
much band bending.

01:11:06.990 --> 01:11:09.630 align:middle line:84%
And in fact, some of these
density of interface traps

01:11:09.630 --> 01:11:12.430 align:middle line:84%
is now filled with electrons,
maybe about half of them.

01:11:12.430 --> 01:11:16.360 align:middle line:84%
So the amount of Qit that's
uncovered at that interface

01:11:16.360 --> 01:11:18.270 align:middle line:84%
now in this bias
condition is less.

01:11:18.270 --> 01:11:20.250 align:middle line:84%
So I have less
interface trap charge.

01:11:20.250 --> 01:11:23.160 align:middle line:84%
So indeed, if you look
at the ideal curve

01:11:23.160 --> 01:11:25.380 align:middle line:84%
and you look at the
distorted curve, at point B,

01:11:25.380 --> 01:11:28.830 align:middle line:84%
there's less of a shift
than there was at point C

01:11:28.830 --> 01:11:31.680 align:middle line:84%
because there's less charge
at that interface, less

01:11:31.680 --> 01:11:32.970 align:middle line:90%
positive charge.

01:11:32.970 --> 01:11:37.000 align:middle line:84%
And now, let's finally
go to accumulation.

01:11:37.000 --> 01:11:39.160 align:middle line:84%
I've bent things--
the voltage now

01:11:39.160 --> 01:11:42.560 align:middle line:84%
is such that all of these traps
are occupied by electrons.

01:11:42.560 --> 01:11:44.890 align:middle line:90%
So Qit has its minimum value.

01:11:44.890 --> 01:11:46.300 align:middle line:90%
They're all occupied.

01:11:46.300 --> 01:11:48.440 align:middle line:90%
So Qit is low.

01:11:48.440 --> 01:11:51.920 align:middle line:84%
And so in region A, where
we're in accumulation, in fact,

01:11:51.920 --> 01:11:53.990 align:middle line:84%
the shift from the ideal
is very, very small.

01:11:53.990 --> 01:11:55.220 align:middle line:90%
It's a small shift.

01:11:55.220 --> 01:11:59.080 align:middle line:84%
So as I sweep here, from
inversion, I get the curve.

01:11:59.080 --> 01:12:01.930 align:middle line:84%
A lot of shift to depletion,
not so much shift,

01:12:01.930 --> 01:12:04.000 align:middle line:90%
accumulation very little shift.

01:12:04.000 --> 01:12:05.890 align:middle line:84%
So the distortion
of the curve has

01:12:05.890 --> 01:12:07.930 align:middle line:84%
to do with these
traps that depend

01:12:07.930 --> 01:12:14.510 align:middle line:84%
on the bias level and the
fact that it varies with bias.

01:12:14.510 --> 01:12:16.150 align:middle line:90%
So how do people measure Qit?

01:12:16.150 --> 01:12:19.558 align:middle line:84%
Well, there's one
way of doing it.

01:12:19.558 --> 01:12:21.100 align:middle line:84%
There are a couple
of different ones,

01:12:21.100 --> 01:12:23.260 align:middle line:84%
but what people
do is they measure

01:12:23.260 --> 01:12:25.870 align:middle line:84%
a curve under high
frequency, and they

01:12:25.870 --> 01:12:27.730 align:middle line:84%
choose the frequency
such that the traps,

01:12:27.730 --> 01:12:29.930 align:middle line:90%
the Qit's can't respond.

01:12:29.930 --> 01:12:34.800 align:middle line:84%
So they get kind of an ideal
like curve, shown here.

01:12:34.800 --> 01:12:36.360 align:middle line:84%
Or you can calculate
the ideal curve.

01:12:36.360 --> 01:12:39.420 align:middle line:84%
If you're a more theoretical
person, you can calculate it.

01:12:39.420 --> 01:12:41.670 align:middle line:84%
And then they do a
low-frequency curve,

01:12:41.670 --> 01:12:44.640 align:middle line:84%
and they choose low enough so
that the traps can respond.

01:12:44.640 --> 01:12:47.280 align:middle line:84%
And in fact, they
see a difference.

01:12:47.280 --> 01:12:49.950 align:middle line:84%
In a certain bias regime,
you can see a difference

01:12:49.950 --> 01:12:52.173 align:middle line:90%
in the capacitance.

01:12:52.173 --> 01:12:53.590 align:middle line:84%
And that difference
in capacitance

01:12:53.590 --> 01:12:57.400 align:middle line:84%
can be related to the
density of the traps that

01:12:57.400 --> 01:13:00.820 align:middle line:84%
are in a certain
region of the bandgap

01:13:00.820 --> 01:13:03.100 align:middle line:84%
because where you are in
the bandgap corresponds

01:13:03.100 --> 01:13:04.400 align:middle line:90%
to where you are in bias.

01:13:04.400 --> 01:13:08.410 align:middle line:84%
So you could give someone this
data who is familiar with it,

01:13:08.410 --> 01:13:10.330 align:middle line:84%
and they could plot
then for you the density

01:13:10.330 --> 01:13:15.010 align:middle line:84%
of traps in the bandgap at
that interface between silicon

01:13:15.010 --> 01:13:17.710 align:middle line:84%
silicon dioxide as a function
of the energy in the bandgap.

01:13:17.710 --> 01:13:20.260 align:middle line:84%
And you can see it has this
familiar u-shaped profile.

01:13:20.260 --> 01:13:22.450 align:middle line:84%
In the center, it
has some number.

01:13:22.450 --> 01:13:25.780 align:middle line:84%
Mid-gap it 's typically
5 10 to the 10th traps

01:13:25.780 --> 01:13:26.860 align:middle line:90%
per square centimeter.

01:13:26.860 --> 01:13:31.550 align:middle line:84%
As you go closer to the edges,
it goes up dramatically.

01:13:31.550 --> 01:13:35.230 align:middle line:84%
But this is a way by CV
of measuring Dit or Qit.

01:13:35.230 --> 01:13:38.020 align:middle line:90%


01:13:38.020 --> 01:13:40.520 align:middle line:84%
And in fact, we want to
keep it as low as possible

01:13:40.520 --> 01:13:42.860 align:middle line:84%
so our threshold voltage is
moving all over the place

01:13:42.860 --> 01:13:44.527 align:middle line:84%
and we're getting
ideal characteristics.

01:13:44.527 --> 01:13:47.560 align:middle line:84%
And what we do is, after
we do an oxidation,

01:13:47.560 --> 01:13:51.650 align:middle line:84%
the last high temperature
step is typically some kind

01:13:51.650 --> 01:13:52.820 align:middle line:90%
of forming gas anneal.

01:13:52.820 --> 01:13:55.340 align:middle line:84%
And after annealing,
this Dit goes down

01:13:55.340 --> 01:13:57.180 align:middle line:84%
by about two orders
of magnitude.

01:13:57.180 --> 01:14:01.490 align:middle line:84%
So you notice the last step
in a MOSFET or an MOS flow,

01:14:01.490 --> 01:14:03.890 align:middle line:84%
if you've done it,
is to do an annealing

01:14:03.890 --> 01:14:05.930 align:middle line:84%
and form a gas, which
has hydrogen in it,

01:14:05.930 --> 01:14:07.640 align:middle line:90%
at about 450 or 500.

01:14:07.640 --> 01:14:10.640 align:middle line:84%
And that takes this Dit from up
here all the way down to here

01:14:10.640 --> 01:14:16.690 align:middle line:84%
to a level that's tolerable
for the device to operate.

01:14:16.690 --> 01:14:18.810 align:middle line:84%
So I know I went through
a lot of that CV stuff

01:14:18.810 --> 01:14:20.962 align:middle line:84%
fairly rapidly, and
I apologize for that.

01:14:20.962 --> 01:14:22.920 align:middle line:84%
But I wanted to give you
more than the details,

01:14:22.920 --> 01:14:24.610 align:middle line:90%
give you a flavor for it.

01:14:24.610 --> 01:14:27.570 align:middle line:84%
If you've had courses in
electrical or solid state

01:14:27.570 --> 01:14:29.130 align:middle line:84%
physics, you'll
recognize some of it.

01:14:29.130 --> 01:14:30.600 align:middle line:84%
If you haven't,
you can go through

01:14:30.600 --> 01:14:33.140 align:middle line:90%
in the text in more detail.

01:14:33.140 --> 01:14:35.820 align:middle line:84%
But just to summarize
on the oxidation,

01:14:35.820 --> 01:14:39.030 align:middle line:84%
it's really probably one of
the most critical processes

01:14:39.030 --> 01:14:40.650 align:middle line:90%
for CMOS.

01:14:40.650 --> 01:14:42.840 align:middle line:84%
Thermal oxides that
are thermally grown

01:14:42.840 --> 01:14:46.260 align:middle line:84%
are used for a lot of different
things, tunnel insulators,

01:14:46.260 --> 01:14:48.570 align:middle line:90%
masking oxide, field oxides.

01:14:48.570 --> 01:14:50.155 align:middle line:84%
If nothing else,
you should remember

01:14:50.155 --> 01:14:52.530 align:middle line:84%
that the electrical properties
of silicon silicon dioxide

01:14:52.530 --> 01:14:55.612 align:middle line:84%
are the best, and they're
superior to all other cases.

01:14:55.612 --> 01:14:57.570 align:middle line:84%
And that's why it's taking
so many years for us

01:14:57.570 --> 01:15:00.570 align:middle line:84%
to find another
insulator, another high k.

01:15:00.570 --> 01:15:04.470 align:middle line:84%
It really is tough to beat, or
it's tough even to equal it.

01:15:04.470 --> 01:15:05.700 align:middle line:90%
There are charges, though.

01:15:05.700 --> 01:15:07.350 align:middle line:90%
It's not perfect, remember?

01:15:07.350 --> 01:15:08.580 align:middle line:90%
Nobody's perfect.

01:15:08.580 --> 01:15:11.700 align:middle line:84%
1 and then 10 to the fifth is
a problem at the interface.

01:15:11.700 --> 01:15:13.770 align:middle line:84%
But there are charges
that exist and things

01:15:13.770 --> 01:15:17.470 align:middle line:84%
like fixed charge, which
is positive, Dit or Qit,

01:15:17.470 --> 01:15:18.460 align:middle line:90%
mobile charge--

01:15:18.460 --> 01:15:21.100 align:middle line:84%
you don't have mobile charge
if you're really clean--

01:15:21.100 --> 01:15:22.570 align:middle line:90%
and Qot.

01:15:22.570 --> 01:15:24.400 align:middle line:84%
These charges do
exist, but they can

01:15:24.400 --> 01:15:27.550 align:middle line:84%
be characterized by relatively
simple techniques, like MOSCV.

01:15:27.550 --> 01:15:30.760 align:middle line:84%
So we'll go on
next time and talk

01:15:30.760 --> 01:15:33.310 align:middle line:84%
about the physics
or the kinetics

01:15:33.310 --> 01:15:35.560 align:middle line:84%
of how this process of
thermal oxidation takes place.

01:15:35.560 --> 01:15:39.520 align:middle line:84%
But please go ahead and
start reading chapter 6.

01:15:39.520 --> 01:15:43.513 align:middle line:84%
Also, your handout, homework
number 2 was handed out.

01:15:43.513 --> 01:15:45.430 align:middle line:84%
So you can go ahead and
start working on that.

01:15:45.430 --> 01:15:47.360 align:middle line:90%
That's due next Thursday.

01:15:47.360 --> 01:15:47.860 align:middle line:90%
Thanks.

01:15:47.860 --> 01:15:54.740 align:middle line:90%


01:15:54.740 --> 01:15:56.290 align:middle line:90%
it.

01:15:56.290 --> 01:16:00.000 align:middle line:90%