WEBVTT

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JUDY HOYT: Point and start
with our actual lecture.

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So we are in the middle of
talking about chapter 4.

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Again, I hope you're keeping up
with the reading in the text.

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That's part of the reason
I don't assign homework

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continuously.

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Between now and Thursday,
you don't have any homework.

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You can have time to
be reading the text.

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Chapter 4, we're talking--

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discusses wafer
cleaning and gettering.

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Last time, we talked about
some important aspects.

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We talked about point
defects in silicon,

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neutral and charged
vacancies and interstitials.

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Other important properties of
silicon wafers we discussed

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were the carbon content
and the oxygen content.

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We're going to talk more today
about oxygen and Czochralski

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silicon.

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And we got a little bit
of a taste last time

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of some qualitative information
on clean rooms and how--

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and that's-- we call that
the level 1 introduction

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to controlling
contamination on wafers.

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And these notes,
we're going to talk

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about the two other major
techniques for controlling

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contamination, which
are to clean the wafers

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throughout the process.

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Every few steps, we
do a wafer cleaning.

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And we'll talk about
how that works.

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And then finally, the principles
and modeling of a process

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called impurity gettering.

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So that's what this
handout is about.

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Let's go on to slide
number 2 of this handout.

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And it shows schematically
this level 2 approach

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of reducing contamination.

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And that's to do--

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wafer cleaning.

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And there are two
alternate paths here

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indicated on the
left and the right

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that we might take a
silicon wafer through.

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The path on the
left is primarily

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what we'll be talking
about in this course

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because it pertains to the
front end of the process.

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In the front end,
by definition, you

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have no-- you have not
done any metallization

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or have not put any metal
contacts on the wafer.

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That's what we
mean by front end.

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And that's what this
course is about.

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So typically,
throughout a process,

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we talked about there might
be 16 or 20 mask levels.

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Each time you do a masking step
and you do photolithography,

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you have this organic gloop,
this photoresist, on your wafer.

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It needs to be removed.

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So before you can go on
to the next process step,

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you need to remove that
organic material, that resist.

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And we do that in what's
called a resist strip.

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That's if necessary.

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That is if there's
photoresist on the wafer.

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And then after you remove this
bulk gross macroscopic organic

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contamination, then trace
organics and trace metals

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are removed in a step
called the RCA clean.

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And that's named for
where it was invented,

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the old RCA Sarnoff
labs in New Jersey.

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That's where that comes
from, the RCA clean.

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And then you execute
the next process step.

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So typically, the
RCA clean would

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precede any high-temperature
processing step

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that we'll talk about in this
course, such as a diffusion

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step in a furnace or
an oxidation step.

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You would have to do
this RCA cleaning.

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By contrast, if you're
in the back end,

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something similar happens.

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You do have to strip
the photoresist.

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And you do have to do some
kind of post-metal cleaning,

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usually before another step.

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But the solutions
that you would use

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are much less caustic
than the ones we're

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going to talk about here in
the acidic and basic solutions

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because metals can-- you don't
want to etch all the metal

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wiring off your wafer.

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So the difference
with backend cleaning,

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it's generally more gentle.

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And it's not designed to
remove metals because that's

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what you have in the back end.

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You have metal wiring.

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So let's go on to
slide number 3.

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And this, I've taken
out of your text.

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It talks about these--
this front end cleaning

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process and the steps involved.

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So if we start at the
top, this section up here,

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these top few steps illustrate
photoresist stripping.

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Again, every time you
do a masking level,

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you typically have
this organic film

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that's somewhere in the order of
several microns of this material

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that needs to be stripped.

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And it's fairly gross.

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It's quite thick.

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It's macroscopic material.

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So it can be stripped
in a number of ways.

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This is a very
common way of doing

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it is to take hot, very hot,
mixture of sulfuric and hydrogen

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peroxide.

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That's a very, very
strong oxidizer.

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It really attacks organics,
especially photoresist.

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Sometimes in fabs
today, prior to doing

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the actual wet
chemistry to remove

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the photoresist, sometimes
people do a dry process.

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And we'll talk later in
this course on dry etching.

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But there are ways to
create in the gas phase

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reactive species that will also
attack the resist and remove it.

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And an oxygen plasma
is often a way

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that people use to remove
photoresist, sometimes

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prior to doing the
wet chemical strip.

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So after you do this
sulfuric peroxide step,

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there's typically a
water rinse, which

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is shown in here as implicit.

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And then you dip the wafers
in a mixture of water and HF.

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HF is an etchant that
etches oxide, which is

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all forms of silicon dioxide.

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So in this step, there's
a strong oxidizer.

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You end up forming a
thin chemical oxide

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on the silicon surface.

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This strips it off.

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And then you do
a final DI rinse.

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So at that point, you have
all the gross macroscopic

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photoresist film
removed from your wafer.

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You still have trace
impurities, trace organics,

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and trace metals that
have gotten onto the wafer

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during the process step that
you just did prior to this.

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So in order to remove
those trace impurities,

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we do what's called
the RCA clean.

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There are a lot of different
variations on the RCA clean.

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But this is-- the one
I'm outlining here

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is the most classic RCA clean.

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It has two steps, typically,
major steps, one called

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silicon clean 1, SC-1, and
one called silicon clean 2.

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The major purpose of SC-1
is to strip organics.

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It does attack a certain
amount of metals, and it also--

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to remove particles.

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So it's good at
etching off particles.

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And SC-1 itself consists
of a solution of 511.

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So this 511 represents the
concentration ratio of water

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to hydrogen peroxide
and ammonium hydroxide.

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And it's usually heated to this
temperature range, about 80

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degrees C for about 10 minutes.

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After that SC-1,
after that treatment,

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then it goes through a
deionized water rinse.

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Again, we talked last time.

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You have to use
very pure chemicals,

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a water rinse at room
temperature and then very often,

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not always, but very often,
right in this step here,

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in between SC-1 and
SC-2, there's an HF dip.

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Again, the purpose of that is
to remove the chemical oxide

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that you grew in this step
to create a fresh silicon

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surface and then a DI rinse.

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It wasn't indicated
in your text.

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So I don't-- I put a box for it.

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But it is very common to have
HF dip in the middle there.

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And then you go to SC-2.

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This is-- SC-1 was an alkaline
solution, like a basic solution.

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SC-2 is low pH.

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It's acidic.

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And it consists of
611 or something

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in that ratio, water peroxide
to hydrogen chloride.

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So it's very strong acid.

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And the key for
SC-2, its main role

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is to remove any other remaining
trace metals that were not

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effectively removed by SC-1.

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And there are some metals
that don't come off

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very well in SC-1.

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And also alkali ions.

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We'll talk about those.

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But the mobile ions,
sodium, potassium, calcium,

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are very effectively
removed in the SC-2

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and not so effectively
removed in SC-1.

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And then there's
a DI water rinse.

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Sometimes there's a
final HI dip right

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at the end, where you
remove the Chemox.

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So you create a pure
silicon surface.

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Sometimes there's
not, especially

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if the next step-- if the
wafer is going directly

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into an oxidation
furnace, people

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leave the surface passivated
with a little bit of chemical

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oxide on it anyway.

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So again, this is very
much a rough estimate

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of what people do.

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There are a lot of
variations on this theme.

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Let's move on to slide number
4 and talk a little bit more

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about the chemistry.

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There's more details
about this in your text.

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So if you want to read about
that, that will be helpful.

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An important thing we need
to do in these solutions

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is to remove metal atoms from
the surface of the wafer.

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Again, trace metals
are very bad.

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We'll talk more about this.

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We saw last time they
can reduce the lifetime.

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They can cause all kinds of
problems for logic and memory

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devices.

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So the way that we remove
them from the surface

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is to convert them into ions so
that they're no longer neutral.

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And these ions end up being
soluble in the cleaning

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solution.

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So they dissolve into
the wet solution.

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And they stay in the solution
instead of on your wafer.

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So to do this, we need to
oxidize the metal atoms.

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That is, we're going
to use the term

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oxidation as referring
to removing electrons

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from the metal atoms.

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So this top equation
here, shown on this line,

00:09:06.440 --> 00:09:09.590 align:middle line:84%
shows that the oxidation
process of silicon,

00:09:09.590 --> 00:09:12.000 align:middle line:84%
taking silicon atoms
at the surface,

00:09:12.000 --> 00:09:15.090 align:middle line:84%
combining them with an
oxidizer, such as water,

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and forming SiO2, plus
evolving some hydrogen

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ions and some electrons.

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So this is an
oxidation reaction.

00:09:21.990 --> 00:09:25.290 align:middle line:90%
It ends up removing electrons.

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Similarly, this M here,
the second equation,

00:09:27.653 --> 00:09:29.320 align:middle line:84%
M is meant to represent
a generic metal.

00:09:29.320 --> 00:09:30.028 align:middle line:90%
It could be iron.

00:09:30.028 --> 00:09:31.360 align:middle line:90%
It could be copper, whatever.

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Just say iron.

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By an oxidation
reaction can have

00:09:35.310 --> 00:09:37.110 align:middle line:84%
its electrons
removed or stripped

00:09:37.110 --> 00:09:42.570 align:middle line:84%
and form a positive ion,
along with some electrons

00:09:42.570 --> 00:09:45.063 align:middle line:90%
in the solution.

00:09:45.063 --> 00:09:46.480 align:middle line:84%
And if you read
through your text,

00:09:46.480 --> 00:09:49.120 align:middle line:84%
this is a table I took
directly from your text.

00:09:49.120 --> 00:09:52.980 align:middle line:84%
This is a table of oxidation
reduction reactions

00:09:52.980 --> 00:09:54.885 align:middle line:84%
for various elements,
say some metals.

00:09:54.885 --> 00:09:57.150 align:middle line:90%
It has silicon dioxide itself.

00:09:57.150 --> 00:10:00.210 align:middle line:90%
Here's iron and chromium.

00:10:00.210 --> 00:10:04.440 align:middle line:84%
And what's shown here is the
standard oxidation potential

00:10:04.440 --> 00:10:07.410 align:middle line:84%
in volts and the
oxidation reduction

00:10:07.410 --> 00:10:11.320 align:middle line:84%
reaction, the actual chemical
reaction, in the third column.

00:10:11.320 --> 00:10:15.360 align:middle line:84%
So example, the second row here
shows the oxidation of silicon

00:10:15.360 --> 00:10:17.280 align:middle line:90%
to form SiO2.

00:10:17.280 --> 00:10:21.360 align:middle line:84%
This row here with the iron
shows the oxidation of iron

00:10:21.360 --> 00:10:26.610 align:middle line:84%
to form Fe3 plus, a positive
to remove electrons.

00:10:26.610 --> 00:10:29.610 align:middle line:84%
In general, a stronger
oxidant, something

00:10:29.610 --> 00:10:34.080 align:middle line:84%
that's better at stripping
off electrons from an atom,

00:10:34.080 --> 00:10:36.130 align:middle line:84%
has a more negative
oxidation potential.

00:10:36.130 --> 00:10:39.118 align:middle line:84%
So as you go down in
this table, you're

00:10:39.118 --> 00:10:41.410 align:middle line:84%
getting to more and more
negative oxidation potentials.

00:10:41.410 --> 00:10:44.910 align:middle line:84%
These are very strong
oxidants, oxidizers.

00:10:44.910 --> 00:10:50.010 align:middle line:84%
So H2O2, hydrogen peroxide,
is a very strong oxidizer.

00:10:50.010 --> 00:10:54.100 align:middle line:84%
Ozone, O3, is a very
strong oxidizer.

00:10:54.100 --> 00:10:56.640 align:middle line:84%
So the way to
interpret this table

00:10:56.640 --> 00:10:59.760 align:middle line:84%
is we're going from
fairly weak oxidizers

00:10:59.760 --> 00:11:02.430 align:middle line:84%
to very strong oxidizers
as we go to the bottom.

00:11:02.430 --> 00:11:06.540 align:middle line:84%
In general, if you have a lot
of these reactions taking place

00:11:06.540 --> 00:11:08.580 align:middle line:84%
on the wafer or in
the solution at once,

00:11:08.580 --> 00:11:11.430 align:middle line:84%
the lowest reaction in the
table is going to dominate.

00:11:11.430 --> 00:11:14.320 align:middle line:84%
And it's going to tend
to go towards the left.

00:11:14.320 --> 00:11:16.230 align:middle line:84%
So for example, say I
have a solution that

00:11:16.230 --> 00:11:19.110 align:middle line:90%
contains hydrogen peroxide.

00:11:19.110 --> 00:11:21.240 align:middle line:84%
It's quite down in
the-- far on the table.

00:11:21.240 --> 00:11:22.830 align:middle line:84%
It's going to tend
to be pushed--

00:11:22.830 --> 00:11:24.000 align:middle line:90%
it's a strong oxidizer.

00:11:24.000 --> 00:11:26.710 align:middle line:84%
It's going to tend to
be pushed to the left.

00:11:26.710 --> 00:11:31.570 align:middle line:84%
And that tends to drive
all the reactions above it

00:11:31.570 --> 00:11:35.840 align:middle line:84%
to the right, basically,
just as a rule of thumb.

00:11:35.840 --> 00:11:38.090 align:middle line:84%
So for example,
hydrogen peroxide,

00:11:38.090 --> 00:11:43.210 align:middle line:84%
which is well below iron, tend
to take electrons from iron,

00:11:43.210 --> 00:11:48.520 align:middle line:84%
forming this Fe3 plus
ions, and create ions that

00:11:48.520 --> 00:11:49.790 align:middle line:90%
are soluble in the solution.

00:11:49.790 --> 00:11:52.150 align:middle line:84%
So it's an effective
way of removing--

00:11:52.150 --> 00:11:55.030 align:middle line:84%
of ionizing iron and
removing it from the wafer.

00:11:55.030 --> 00:11:58.870 align:middle line:84%
At the same time as this
happens, this is happening,

00:11:58.870 --> 00:12:01.960 align:middle line:84%
the silicon itself will
be oxidized by the H2O2,

00:12:01.960 --> 00:12:03.200 align:middle line:90%
by the peroxide.

00:12:03.200 --> 00:12:07.840 align:middle line:84%
So we're forming these ions on
the wafer, these metallic ions

00:12:07.840 --> 00:12:09.040 align:middle line:90%
that can then dissolve.

00:12:09.040 --> 00:12:10.498 align:middle line:84%
And at the same
time, we're growing

00:12:10.498 --> 00:12:13.330 align:middle line:84%
a little bit of SiO2, a very
thin layer of this silicon

00:12:13.330 --> 00:12:13.930 align:middle line:90%
dioxide.

00:12:13.930 --> 00:12:15.820 align:middle line:84%
And that gets stripped,
that silicon dioxide,

00:12:15.820 --> 00:12:16.930 align:middle line:90%
in the HF strip--

00:12:16.930 --> 00:12:18.800 align:middle line:90%
the HF dip, of a next step.

00:12:18.800 --> 00:12:21.220 align:middle line:84%
So that's some idea
of the chemistry.

00:12:21.220 --> 00:12:24.220 align:middle line:84%
Again, there are-- your book has
a reference to chemistry texts

00:12:24.220 --> 00:12:25.550 align:middle line:90%
if you want to read that.

00:12:25.550 --> 00:12:31.600 align:middle line:84%
That's involved in some of this
cleaning, cleaning technology.

00:12:31.600 --> 00:12:32.920 align:middle line:90%
Let's go on to page number 5.

00:12:32.920 --> 00:12:34.390 align:middle line:90%
Now this is an actual--

00:12:34.390 --> 00:12:36.670 align:middle line:84%
some actual data
I pulled out of--

00:12:36.670 --> 00:12:40.060 align:middle line:90%
some laboratory data on slide 5.

00:12:40.060 --> 00:12:41.680 align:middle line:84%
And what it's
showing, it's actually

00:12:41.680 --> 00:12:43.780 align:middle line:84%
taken from a wafer
mapping tool made

00:12:43.780 --> 00:12:45.490 align:middle line:90%
by a company called KLA-Tencor.

00:12:45.490 --> 00:12:46.780 align:middle line:90%
It's a picture.

00:12:46.780 --> 00:12:49.598 align:middle line:84%
It's a face-on
picture of a wafer.

00:12:49.598 --> 00:12:50.890 align:middle line:90%
Up here, it's a six-inch wafer.

00:12:50.890 --> 00:12:52.430 align:middle line:90%
Here's a flat on top.

00:12:52.430 --> 00:12:53.680 align:middle line:90%
It didn't reproduce very well.

00:12:53.680 --> 00:12:54.010 align:middle line:90%
I'm sorry.

00:12:54.010 --> 00:12:55.420 align:middle line:84%
So this is the
flat of the wafer.

00:12:55.420 --> 00:12:58.640 align:middle line:84%
This is the six-inch
diameter edge of the wafer.

00:12:58.640 --> 00:13:00.610 align:middle line:84%
And this is a machine
that takes a laser

00:13:00.610 --> 00:13:02.660 align:middle line:84%
and scans it across the
surface of the wafer.

00:13:02.660 --> 00:13:06.520 align:middle line:84%
And it looks for
spurious reflections.

00:13:06.520 --> 00:13:09.220 align:middle line:84%
Every time you hit a
particle, you no longer

00:13:09.220 --> 00:13:10.840 align:middle line:90%
have specular reflection.

00:13:10.840 --> 00:13:11.940 align:middle line:90%
And it notes that.

00:13:11.940 --> 00:13:13.690 align:middle line:84%
And it says, aha, there
must be a particle

00:13:13.690 --> 00:13:16.960 align:middle line:84%
or what they call a
light point defect, LPD.

00:13:16.960 --> 00:13:19.242 align:middle line:84%
And this is to prevent
having to have people

00:13:19.242 --> 00:13:20.950 align:middle line:84%
sit in the clean room
and literally count

00:13:20.950 --> 00:13:21.730 align:middle line:90%
the particles on a wafer.

00:13:21.730 --> 00:13:23.438 align:middle line:84%
That would be too
tedious and inaccurate.

00:13:23.438 --> 00:13:25.750 align:middle line:84%
So it's all
automated these days.

00:13:25.750 --> 00:13:28.480 align:middle line:84%
And it even plots out, the
computer plots for you,

00:13:28.480 --> 00:13:29.630 align:middle line:90%
the point on the wafer.

00:13:29.630 --> 00:13:31.390 align:middle line:84%
These little black
points are places

00:13:31.390 --> 00:13:33.190 align:middle line:84%
where it found light
point defects, where

00:13:33.190 --> 00:13:35.500 align:middle line:84%
it found nonspecular
reflection, something

00:13:35.500 --> 00:13:37.030 align:middle line:84%
that looks like
as if there's dirt

00:13:37.030 --> 00:13:40.220 align:middle line:84%
or some kind of macroscopic
little particle on the wafer.

00:13:40.220 --> 00:13:42.340 align:middle line:84%
And in fact, it not only
does that, it actually

00:13:42.340 --> 00:13:44.330 align:middle line:84%
tells you roughly the
size of the particle.

00:13:44.330 --> 00:13:47.890 align:middle line:84%
So if you look at these bins,
there's bin 1 through 8 here.

00:13:47.890 --> 00:13:49.773 align:middle line:90%
So it bins them for you.

00:13:49.773 --> 00:13:50.815 align:middle line:90%
And these are in microns.

00:13:50.815 --> 00:13:51.610 align:middle line:90%
So I apologize.

00:13:51.610 --> 00:13:54.193 align:middle line:84%
It wasn't written down, if you
want to put that on your notes.

00:13:54.193 --> 00:13:56.260 align:middle line:84%
So bin 1 goes-- is
any particle that

00:13:56.260 --> 00:14:00.200 align:middle line:84%
is between something like
0.2 microns to 0.3 microns.

00:14:00.200 --> 00:14:03.790 align:middle line:84%
So in that size range,
it found 16 particles.

00:14:03.790 --> 00:14:06.687 align:middle line:84%
In fact, the system only
found 21 on the entire wafer.

00:14:06.687 --> 00:14:08.770 align:middle line:84%
So there aren't very many
particles on this wafer.

00:14:08.770 --> 00:14:10.900 align:middle line:90%
It's pretty clean.

00:14:10.900 --> 00:14:13.300 align:middle line:84%
16 of them are in this
range, reasonably small,

00:14:13.300 --> 00:14:15.363 align:middle line:90%
0.2 to 0.3 microns.

00:14:15.363 --> 00:14:17.530 align:middle line:84%
I don't know which-- where
they are exactly on here.

00:14:17.530 --> 00:14:21.370 align:middle line:84%
But these 21 points are the
particles shown on the right.

00:14:21.370 --> 00:14:24.640 align:middle line:84%
And it found five of them
in the range of 0.3, 0.4.

00:14:24.640 --> 00:14:27.100 align:middle line:84%
And it found zero in
all the other bins.

00:14:27.100 --> 00:14:29.530 align:middle line:84%
Bin 3 is 0.4 to
0.5 all the way up

00:14:29.530 --> 00:14:32.740 align:middle line:84%
to, say, bin 8,
which is very large,

00:14:32.740 --> 00:14:35.278 align:middle line:90%
a micron or 1 to 7 microns.

00:14:35.278 --> 00:14:37.070 align:middle line:84%
So it didn't find any
particles that large.

00:14:37.070 --> 00:14:39.970 align:middle line:84%
So this is a pretty
darn clean wafer.

00:14:39.970 --> 00:14:43.510 align:middle line:84%
This actually happens to be a
wafer map from a wafer that's

00:14:43.510 --> 00:14:44.330 align:middle line:90%
fresh from a box.

00:14:44.330 --> 00:14:47.470 align:middle line:84%
So this is a prime grade wafer
taken right out of the wafer

00:14:47.470 --> 00:14:49.210 align:middle line:90%
manufacturer's box.

00:14:49.210 --> 00:14:52.480 align:middle line:84%
It didn't spend more than a
few seconds in the clean room

00:14:52.480 --> 00:14:54.220 align:middle line:84%
before it got inserted
into this machine.

00:14:54.220 --> 00:14:56.650 align:middle line:84%
And it counted what
the wafers looked like.

00:14:56.650 --> 00:14:58.960 align:middle line:84%
So that just gives you an
idea of how sophisticated

00:14:58.960 --> 00:15:00.920 align:middle line:90%
these systems can be these days.

00:15:00.920 --> 00:15:02.380 align:middle line:84%
And they're getting
ones that can

00:15:02.380 --> 00:15:05.150 align:middle line:84%
go to shorter and
shorter wavelengths.

00:15:05.150 --> 00:15:06.982 align:middle line:84%
So that's a way of
mapping particles.

00:15:06.982 --> 00:15:08.440 align:middle line:84%
Again, particles
are only one thing

00:15:08.440 --> 00:15:09.880 align:middle line:90%
we're trying to remove, though.

00:15:09.880 --> 00:15:10.900 align:middle line:84%
Remember we talked
about, they're

00:15:10.900 --> 00:15:12.130 align:middle line:90%
just randomly distributed.

00:15:12.130 --> 00:15:13.840 align:middle line:84%
A particle is a
macroscopic object.

00:15:13.840 --> 00:15:17.740 align:middle line:84%
It has some diameter or
size, 0.2 to 0.3 microns.

00:15:17.740 --> 00:15:22.448 align:middle line:84%
There may be at the atomic scale
atoms of iron, atoms of copper

00:15:22.448 --> 00:15:23.740 align:middle line:90%
distributed across the surface.

00:15:23.740 --> 00:15:25.073 align:middle line:90%
They're not in particulate form.

00:15:25.073 --> 00:15:27.320 align:middle line:84%
But they're just atomic
level contaminants.

00:15:27.320 --> 00:15:29.670 align:middle line:84%
Those are the things we
need to remove as well.

00:15:29.670 --> 00:15:32.750 align:middle line:84%
In fact, those are more of a
problem than these particles.

00:15:32.750 --> 00:15:34.310 align:middle line:84%
The particles are
fairly localized.

00:15:34.310 --> 00:15:37.550 align:middle line:84%
And they don't hurt you
in-- for the purpose

00:15:37.550 --> 00:15:39.480 align:middle line:90%
of doing a lot of experiments.

00:15:39.480 --> 00:15:42.200 align:middle line:84%
Let's look at the next slide,
though, slide number 6.

00:15:42.200 --> 00:15:44.390 align:middle line:84%
Here's another example
of a wafer map.

00:15:44.390 --> 00:15:45.920 align:middle line:90%
This is actually the same wafer.

00:15:45.920 --> 00:15:48.200 align:middle line:84%
Actually, ironically,
I'm just trying

00:15:48.200 --> 00:15:52.250 align:middle line:84%
to give you a little bit of
practical education here.

00:15:52.250 --> 00:15:54.620 align:middle line:90%
This is after an RCA clean.

00:15:54.620 --> 00:15:57.183 align:middle line:84%
But it was a
non-optimal process.

00:15:57.183 --> 00:15:58.600 align:middle line:84%
Now, obviously,
it was non-optimal

00:15:58.600 --> 00:16:00.800 align:middle line:84%
because it looks like there's
a lot more dots on the wafer

00:16:00.800 --> 00:16:02.530 align:middle line:84%
now than when it was
fresh out of the box.

00:16:02.530 --> 00:16:04.697 align:middle line:84%
And this can happen if
you're in a clean room that's

00:16:04.697 --> 00:16:08.780 align:middle line:84%
not that clean or if you have
water-- particles in your DI

00:16:08.780 --> 00:16:09.280 align:middle line:90%
water.

00:16:09.280 --> 00:16:11.230 align:middle line:84%
The last step is
a DI water rinse.

00:16:11.230 --> 00:16:14.500 align:middle line:84%
Or if you put it through a
dryer, which heats up the wafer

00:16:14.500 --> 00:16:15.490 align:middle line:90%
and spins it around.

00:16:15.490 --> 00:16:18.347 align:middle line:84%
And if that dryer, the
spin dryer, is very dirty,

00:16:18.347 --> 00:16:19.930 align:middle line:84%
it can throw particles
at the very end

00:16:19.930 --> 00:16:21.097 align:middle line:90%
throughout your whole wafer.

00:16:21.097 --> 00:16:24.103 align:middle line:84%
So just to make sure we
understand the RCA clean,

00:16:24.103 --> 00:16:25.270 align:middle line:90%
there's chemistry behind it.

00:16:25.270 --> 00:16:27.353 align:middle line:84%
But there also has to be
a lot of practical things

00:16:27.353 --> 00:16:28.760 align:middle line:90%
that have to be done properly.

00:16:28.760 --> 00:16:31.840 align:middle line:84%
And so as it turns out, now
instead of 21 particles,

00:16:31.840 --> 00:16:33.190 align:middle line:90%
this wafer now has 1,020--

00:16:33.190 --> 00:16:36.370 align:middle line:84%
1,012 or so, quite
a few, most of them

00:16:36.370 --> 00:16:37.580 align:middle line:90%
added in a very small range.

00:16:37.580 --> 00:16:39.790 align:middle line:84%
You'll notice they're
quite small particles.

00:16:39.790 --> 00:16:42.430 align:middle line:90%
Most of these are below 0.2--

00:16:42.430 --> 00:16:44.960 align:middle line:90%
0.4 microns or so in diameter.

00:16:44.960 --> 00:16:47.680 align:middle line:84%
They are perhaps the most
difficult to remove of all

00:16:47.680 --> 00:16:48.250 align:middle line:90%
things.

00:16:48.250 --> 00:16:51.430 align:middle line:84%
At the atomic level, removing
copper, iron, sodium,

00:16:51.430 --> 00:16:54.400 align:middle line:84%
we can do that with the-- the
particles have a certain mass

00:16:54.400 --> 00:16:55.060 align:middle line:90%
to them.

00:16:55.060 --> 00:16:56.530 align:middle line:90%
And they also tend to get stuck.

00:16:56.530 --> 00:16:58.113 align:middle line:84%
They're electrostatically
attracted

00:16:58.113 --> 00:16:59.280 align:middle line:90%
because they can be charged.

00:16:59.280 --> 00:17:00.830 align:middle line:84%
So they're attracted
to the wafer.

00:17:00.830 --> 00:17:03.620 align:middle line:84%
So it's a little bit trickier
to get particles off.

00:17:03.620 --> 00:17:07.099 align:middle line:84%
And people are always working
on new particle reduction

00:17:07.099 --> 00:17:10.069 align:middle line:90%
technologies.

00:17:10.069 --> 00:17:14.119 align:middle line:84%
This is some other experimental
evidence on slide 7,

00:17:14.119 --> 00:17:16.339 align:middle line:84%
just to show you that
the RCA clean does work

00:17:16.339 --> 00:17:18.530 align:middle line:84%
and that it can work
quite effectively.

00:17:18.530 --> 00:17:20.089 align:middle line:90%
This is not tracking particles.

00:17:20.089 --> 00:17:22.849 align:middle line:84%
But what it's looking
at is how well

00:17:22.849 --> 00:17:27.619 align:middle line:84%
it can remove certain mobile
ions and metal contaminants.

00:17:27.619 --> 00:17:32.120 align:middle line:84%
And this is a picture
of a wafer and a process

00:17:32.120 --> 00:17:34.820 align:middle line:84%
or a measurement
technique called TXRF.

00:17:34.820 --> 00:17:39.260 align:middle line:84%
And next lecture, we'll talk
about total X-ray fluorescence.

00:17:39.260 --> 00:17:43.380 align:middle line:84%
It's a metrology technique
that can scan across the wafer.

00:17:43.380 --> 00:17:46.310 align:middle line:84%
And in certain areas and
one-centimeter spots,

00:17:46.310 --> 00:17:49.520 align:middle line:84%
it can measure by
X-ray fluorescence

00:17:49.520 --> 00:17:52.850 align:middle line:84%
the atomic density of certain
contaminants on the wafer.

00:17:52.850 --> 00:17:56.990 align:middle line:84%
And these five points, center,
top, right, left, and bottom,

00:17:56.990 --> 00:17:57.920 align:middle line:90%
were taken.

00:17:57.920 --> 00:18:01.530 align:middle line:84%
And they correspond to
these xy coordinates here.

00:18:01.530 --> 00:18:05.060 align:middle line:84%
So TXRF was performed at
five points on the wafer.

00:18:05.060 --> 00:18:08.718 align:middle line:84%
And these elements
on the left column

00:18:08.718 --> 00:18:10.260 align:middle line:84%
here are the ones
that were measured,

00:18:10.260 --> 00:18:12.660 align:middle line:90%
sulfur through bromine.

00:18:12.660 --> 00:18:14.092 align:middle line:84%
And there are two
different types

00:18:14.092 --> 00:18:15.300 align:middle line:90%
of wafers that were measured.

00:18:15.300 --> 00:18:17.790 align:middle line:84%
Here on the right
in red, these are

00:18:17.790 --> 00:18:20.640 align:middle line:84%
wafers that were subject to
a fairly dirty process called

00:18:20.640 --> 00:18:22.410 align:middle line:90%
chemical mechanical polishing.

00:18:22.410 --> 00:18:24.523 align:middle line:84%
That's actually tends
to be part of back end.

00:18:24.523 --> 00:18:26.940 align:middle line:84%
But it can actually be used
in front end in shallow trench

00:18:26.940 --> 00:18:29.550 align:middle line:90%
isolation, STI, process.

00:18:29.550 --> 00:18:34.260 align:middle line:84%
CMP uses a slurry of
particles and all kinds

00:18:34.260 --> 00:18:37.020 align:middle line:84%
of various solutions,
one of which

00:18:37.020 --> 00:18:40.180 align:middle line:84%
contains a lot of potassium
and perhaps even some calcium.

00:18:40.180 --> 00:18:41.530 align:middle line:90%
So it's a fairly dirty process.

00:18:41.530 --> 00:18:44.460 align:middle line:84%
So after CMP, you really
have to get the wafer clean.

00:18:44.460 --> 00:18:47.220 align:middle line:84%
So this was a test on
the right in the red,

00:18:47.220 --> 00:18:50.370 align:middle line:84%
CMP plus a dilute
sulfuric clean only.

00:18:50.370 --> 00:18:51.930 align:middle line:90%
So it didn't do the RCA clean.

00:18:51.930 --> 00:18:55.020 align:middle line:84%
And you can see, look
at the amount of calcium

00:18:55.020 --> 00:18:56.640 align:middle line:84%
here, reasonably
high quantities.

00:18:56.640 --> 00:18:59.880 align:middle line:84%
These are all measured
in units of 10

00:18:59.880 --> 00:19:02.827 align:middle line:84%
to the 10th atoms per
square centimeter.

00:19:02.827 --> 00:19:03.660 align:middle line:90%
So this is looking--

00:19:03.660 --> 00:19:05.867 align:middle line:84%
if you looked in a
square centimeter,

00:19:05.867 --> 00:19:07.575 align:middle line:84%
so imagine going into
a square centimeter

00:19:07.575 --> 00:19:11.040 align:middle line:84%
and counting the atoms, you'd
find 10 to the tenth of them,

00:19:11.040 --> 00:19:12.240 align:middle line:90%
roughly.

00:19:12.240 --> 00:19:13.770 align:middle line:84%
Well, actually,
in this position,

00:19:13.770 --> 00:19:17.393 align:middle line:84%
you'd find 17 times 10 to the
10th, or roughly 1.7 times 10

00:19:17.393 --> 00:19:18.810 align:middle line:84%
to the 11th per
square centimeter,

00:19:18.810 --> 00:19:20.830 align:middle line:90%
sitting on that surface.

00:19:20.830 --> 00:19:23.170 align:middle line:84%
So it's a way of
quantifying that.

00:19:23.170 --> 00:19:25.190 align:middle line:84%
So here it's in
the tens, twenties

00:19:25.190 --> 00:19:28.750 align:middle line:84%
to hundreds on the right-hand
side in the solution that

00:19:28.750 --> 00:19:32.130 align:middle line:90%
used sulfuric only.

00:19:32.130 --> 00:19:33.750 align:middle line:84%
On the other hand,
when the sulfuric

00:19:33.750 --> 00:19:36.570 align:middle line:84%
was followed by an RCA
clean, all the calcium

00:19:36.570 --> 00:19:40.950 align:middle line:84%
went down below the detection
limit of the measurement.

00:19:40.950 --> 00:19:43.980 align:middle line:84%
The measurement technique can't
measure below about 2 times 10

00:19:43.980 --> 00:19:46.560 align:middle line:84%
to the 10th atoms per
square centimeter.

00:19:46.560 --> 00:19:49.440 align:middle line:84%
If you compare these
numbers to what's

00:19:49.440 --> 00:19:54.335 align:middle line:84%
required in the ITRS
roadmap, in fact,

00:19:54.335 --> 00:19:55.710 align:middle line:84%
I think some of
your homework was

00:19:55.710 --> 00:19:57.990 align:middle line:84%
about what's required
in the ITRS roadmap,

00:19:57.990 --> 00:20:00.990 align:middle line:84%
you know that on the right-hand
side, 17, 50, whatever,

00:20:00.990 --> 00:20:03.090 align:middle line:84%
a hundred and some
times 10 to the 10th,

00:20:03.090 --> 00:20:06.550 align:middle line:84%
that's well above
what's allowed to be

00:20:06.550 --> 00:20:11.090 align:middle line:84%
processed on a wafer for
the starting material.

00:20:11.090 --> 00:20:13.270 align:middle line:84%
So we really need to get
this down into this range.

00:20:13.270 --> 00:20:15.770 align:middle line:84%
And the RCA clean does
that here for calcium.

00:20:15.770 --> 00:20:16.990 align:middle line:90%
Another example is iron.

00:20:16.990 --> 00:20:18.132 align:middle line:90%
It's not quite as obvious.

00:20:18.132 --> 00:20:20.590 align:middle line:84%
But on the right-hand side,
there's a little bit more iron.

00:20:20.590 --> 00:20:21.610 align:middle line:90%
It's measured here.

00:20:21.610 --> 00:20:24.550 align:middle line:84%
Again, it varies from point
to point because there may be

00:20:24.550 --> 00:20:26.920 align:middle line:90%
some particles on this wafer.

00:20:26.920 --> 00:20:29.110 align:middle line:84%
And it's picking up
particles, perhaps spuriously,

00:20:29.110 --> 00:20:30.585 align:middle line:90%
which contain iron.

00:20:30.585 --> 00:20:32.710 align:middle line:84%
This particular spot on
the wafer looks very dirty.

00:20:32.710 --> 00:20:36.400 align:middle line:84%
It's got a high count, about
12 times 10 to the 10th.

00:20:36.400 --> 00:20:38.080 align:middle line:90%
And zinc comes down uniformly.

00:20:38.080 --> 00:20:39.610 align:middle line:84%
Look at the amount
of zinc that's

00:20:39.610 --> 00:20:41.950 align:middle line:84%
introduced by the CMP
process that is not

00:20:41.950 --> 00:20:44.110 align:middle line:90%
removed by sulfuric acid.

00:20:44.110 --> 00:20:45.970 align:middle line:84%
It's not until it
goes to the RCA clean

00:20:45.970 --> 00:20:49.220 align:middle line:84%
that you get that down
below the background.

00:20:49.220 --> 00:20:52.540 align:middle line:84%
So the RCA clean can be
very effective in removing

00:20:52.540 --> 00:20:55.455 align:middle line:84%
contaminants, even ones that
come from a very dirty process,

00:20:55.455 --> 00:20:57.580 align:middle line:84%
which is basically like a
sandpaper type of process

00:20:57.580 --> 00:21:00.340 align:middle line:90%
almost, the CMP slurry.

00:21:00.340 --> 00:21:04.050 align:middle line:90%
So it's certainly required.

00:21:04.050 --> 00:21:06.105 align:middle line:90%
So let's go on to page number 8.

00:21:06.105 --> 00:21:08.480 align:middle line:84%
There are actually-- the RCA
clean is very old-fashioned.

00:21:08.480 --> 00:21:12.570 align:middle line:84%
It's been around for, I don't
know, 30 years, a long time.

00:21:12.570 --> 00:21:14.720 align:middle line:84%
And since its invention,
a lot of people

00:21:14.720 --> 00:21:16.860 align:middle line:90%
have tried to improve upon it.

00:21:16.860 --> 00:21:18.410 align:middle line:90%
And there are some improvements.

00:21:18.410 --> 00:21:20.600 align:middle line:84%
There are a lot of
advanced cleaning processes

00:21:20.600 --> 00:21:22.950 align:middle line:84%
that are being developed
over the years.

00:21:22.950 --> 00:21:24.920 align:middle line:84%
And in fact, this
is one that's--

00:21:24.920 --> 00:21:27.718 align:middle line:84%
I took from your
text by a professor

00:21:27.718 --> 00:21:30.260 align:middle line:84%
named Professor Omhi in Japan,
who has proposed this cleaning

00:21:30.260 --> 00:21:31.070 align:middle line:90%
process.

00:21:31.070 --> 00:21:36.290 align:middle line:84%
And his goals were to try to
get a process that would operate

00:21:36.290 --> 00:21:39.050 align:middle line:84%
at lower temperature,
at room temperature,

00:21:39.050 --> 00:21:42.020 align:middle line:84%
and that would not remove,
perhaps, so much silicon.

00:21:42.020 --> 00:21:44.158 align:middle line:84%
And it also wouldn't
use so many chemicals.

00:21:44.158 --> 00:21:45.200 align:middle line:90%
This is an amazing thing.

00:21:45.200 --> 00:21:49.490 align:middle line:84%
But there's a real concern
about environmental factors.

00:21:49.490 --> 00:21:51.350 align:middle line:84%
There's a lot of
research today trying

00:21:51.350 --> 00:21:54.950 align:middle line:84%
to improve the environmental
friendliness of silicon

00:21:54.950 --> 00:21:57.530 align:middle line:84%
IC processing because the
chemicals I just mentioned,

00:21:57.530 --> 00:21:59.600 align:middle line:84%
all of that concentrated
sulfuric acid,

00:21:59.600 --> 00:22:01.400 align:middle line:84%
hydrochloric acid,
it's very concentrated.

00:22:01.400 --> 00:22:05.540 align:middle line:84%
All that has to go
down, be diluted somehow

00:22:05.540 --> 00:22:09.860 align:middle line:84%
and treated before it goes out
into our wastewater stream.

00:22:09.860 --> 00:22:13.070 align:middle line:84%
So people are trying to minimize
the amount of these chemicals

00:22:13.070 --> 00:22:15.380 align:middle line:84%
that are dumped
into the environment

00:22:15.380 --> 00:22:17.420 align:middle line:84%
by inventing new cleaning
methods that are more

00:22:17.420 --> 00:22:18.620 align:middle line:90%
environmentally friendly.

00:22:18.620 --> 00:22:21.200 align:middle line:84%
So he feels this
is more friendly.

00:22:21.200 --> 00:22:23.510 align:middle line:84%
But it has a lot of
the similar principles.

00:22:23.510 --> 00:22:27.860 align:middle line:84%
Notice the first
step is to put it

00:22:27.860 --> 00:22:31.260 align:middle line:84%
in ozonized water, so
water that has ozone in it.

00:22:31.260 --> 00:22:34.500 align:middle line:84%
So if we go back a
couple of slides,

00:22:34.500 --> 00:22:37.190 align:middle line:84%
let's see, if I go back
to slide number 4 here,

00:22:37.190 --> 00:22:38.720 align:middle line:90%
look at ozone, O3.

00:22:38.720 --> 00:22:41.900 align:middle line:84%
It's the strongest oxidizer
on the list, so even stronger

00:22:41.900 --> 00:22:43.920 align:middle line:90%
than peroxide.

00:22:43.920 --> 00:22:47.510 align:middle line:84%
So he creates ozone and
puts it in the water.

00:22:47.510 --> 00:22:49.910 align:middle line:84%
And a very strong
oxidizer to strip

00:22:49.910 --> 00:22:53.730 align:middle line:84%
organics that photoresist
and even some metals.

00:22:53.730 --> 00:22:56.075 align:middle line:84%
The next step--
again, and these are

00:22:56.075 --> 00:22:57.700 align:middle line:84%
all at room temperature,
which is nice.

00:22:57.700 --> 00:23:02.015 align:middle line:84%
So you don't have to heat things
up because, when you boil acids,

00:23:02.015 --> 00:23:04.390 align:middle line:84%
they tend to vaporize and they
go up into the atmosphere.

00:23:04.390 --> 00:23:06.598 align:middle line:84%
And that also creates a lot
of atmospheric pollution.

00:23:06.598 --> 00:23:09.060 align:middle line:90%
So not having to boil is nice.

00:23:09.060 --> 00:23:11.940 align:middle line:84%
Then he has a little bit
of HF, peroxide, and water

00:23:11.940 --> 00:23:13.870 align:middle line:90%
in a surfactant.

00:23:13.870 --> 00:23:18.460 align:middle line:84%
Surfactant helps remove
particles from the surface.

00:23:18.460 --> 00:23:19.710 align:middle line:90%
And he puts it in a megasonic.

00:23:19.710 --> 00:23:23.760 align:middle line:84%
This is a very high-frequency
vibrational technique

00:23:23.760 --> 00:23:26.070 align:middle line:84%
that actually tries to
vibrate the particles off.

00:23:26.070 --> 00:23:28.320 align:middle line:84%
So he puts a
soap-like substance,

00:23:28.320 --> 00:23:30.780 align:middle line:84%
which is a surfactant,
a very high purity,

00:23:30.780 --> 00:23:34.980 align:middle line:84%
to remove particles
and more metals.

00:23:34.980 --> 00:23:36.840 align:middle line:84%
He then goes back to
this strong-- oxidizes

00:23:36.840 --> 00:23:42.300 align:middle line:84%
the ozonized water to
strip any chemicals

00:23:42.300 --> 00:23:44.730 align:middle line:84%
that adhere to
the wafer and then

00:23:44.730 --> 00:23:47.520 align:middle line:84%
does an HF dip to get rid
of the chemical oxide,

00:23:47.520 --> 00:23:50.890 align:middle line:90%
produce a passive surface.

00:23:50.890 --> 00:23:53.490 align:middle line:84%
So there's a lot of
variations on the RCA theme.

00:23:53.490 --> 00:23:56.040 align:middle line:84%
I've included here one
reference from 1999 that I--

00:23:56.040 --> 00:23:58.260 align:middle line:84%
from Mark Hines, I think
is a nice reference,

00:23:58.260 --> 00:24:02.370 align:middle line:84%
it's a little old now, but on
alternate cleaning processes

00:24:02.370 --> 00:24:04.710 align:middle line:84%
and the efficiency of cleaning
processes with respect

00:24:04.710 --> 00:24:07.568 align:middle line:84%
to how well they clean the
surface prior to gate oxidation.

00:24:07.568 --> 00:24:09.360 align:middle line:84%
Gate oxidation is one
of the most sensitive

00:24:09.360 --> 00:24:11.580 align:middle line:84%
high-temperature
processes you have to do.

00:24:11.580 --> 00:24:14.860 align:middle line:84%
We don't want to incorporate
any mobile ions, or iron,

00:24:14.860 --> 00:24:16.110 align:middle line:90%
or anything in our gate oxide.

00:24:16.110 --> 00:24:17.700 align:middle line:90%
So he's got some--

00:24:17.700 --> 00:24:19.218 align:middle line:84%
it's an interesting
article if you

00:24:19.218 --> 00:24:21.510 align:middle line:84%
want to know more about
details about surface cleaning.

00:24:21.510 --> 00:24:24.610 align:middle line:90%


00:24:24.610 --> 00:24:27.490 align:middle line:90%
So that's basically cleaning.

00:24:27.490 --> 00:24:29.110 align:middle line:84%
Let's go now-- now
I'm going to talk

00:24:29.110 --> 00:24:33.038 align:middle line:84%
a little bit, the last topic,
on contamination control, which

00:24:33.038 --> 00:24:33.580 align:middle line:90%
is gettering.

00:24:33.580 --> 00:24:36.400 align:middle line:84%
But before we go
to gettering, I've

00:24:36.400 --> 00:24:39.400 align:middle line:84%
just been indicating
certain elements are bad

00:24:39.400 --> 00:24:42.122 align:middle line:90%
or whatever, have properties.

00:24:42.122 --> 00:24:44.080 align:middle line:84%
Let's say a few words
about the elements, which

00:24:44.080 --> 00:24:46.990 align:middle line:90%
we call deep levels in silicon.

00:24:46.990 --> 00:24:50.590 align:middle line:84%
And this is a chart that I took
from Simon Sze's famous book

00:24:50.590 --> 00:24:52.630 align:middle line:84%
on the physics of
semiconductor devices.

00:24:52.630 --> 00:24:54.280 align:middle line:84%
I took it right
out of his chart--

00:24:54.280 --> 00:24:55.030 align:middle line:90%
his book.

00:24:55.030 --> 00:24:57.550 align:middle line:84%
And what it shows is
the silicon bandgap here

00:24:57.550 --> 00:24:59.260 align:middle line:84%
is being-- at the
top, the conduction

00:24:59.260 --> 00:25:01.780 align:middle line:84%
band, the bottom of
this-- straight line

00:25:01.780 --> 00:25:03.400 align:middle line:90%
at the bottom, the valence band.

00:25:03.400 --> 00:25:07.720 align:middle line:84%
And the dashed line is the
mid-gap point or the gap center.

00:25:07.720 --> 00:25:11.230 align:middle line:84%
And what he has is a series of
elements that, when you put them

00:25:11.230 --> 00:25:14.460 align:middle line:84%
into silicon, what
kind of states

00:25:14.460 --> 00:25:16.890 align:middle line:90%
do they create in the bandgap?

00:25:16.890 --> 00:25:19.380 align:middle line:84%
There are some
shallow levels here.

00:25:19.380 --> 00:25:21.210 align:middle line:84%
For instance, if we
put boron in silicon,

00:25:21.210 --> 00:25:22.668 align:middle line:84%
we all know that's
a p-type doping.

00:25:22.668 --> 00:25:23.430 align:middle line:90%
It's very shallow.

00:25:23.430 --> 00:25:25.860 align:middle line:84%
It lies very close
to the valence band.

00:25:25.860 --> 00:25:30.360 align:middle line:84%
And it can accept
electrons, and create holes,

00:25:30.360 --> 00:25:31.890 align:middle line:90%
and dope your p-type.

00:25:31.890 --> 00:25:36.280 align:middle line:84%
So boron is not too
much of a problem.

00:25:36.280 --> 00:25:39.910 align:middle line:84%
But the things that I have
put a box around here,

00:25:39.910 --> 00:25:43.000 align:middle line:84%
for instance, zinc and
gold, have deep levels

00:25:43.000 --> 00:25:44.770 align:middle line:84%
very close to the
middle of the band gap

00:25:44.770 --> 00:25:46.990 align:middle line:90%
here right near the dashed line.

00:25:46.990 --> 00:25:49.180 align:middle line:84%
Copper as well has
a mid-gap level.

00:25:49.180 --> 00:25:51.400 align:middle line:84%
Iron has a level
right next to mid-gap.

00:25:51.400 --> 00:25:56.080 align:middle line:84%
It turns out when you have
this deep level, this state,

00:25:56.080 --> 00:25:58.180 align:middle line:84%
this electronic state
that's close to mid-gap,

00:25:58.180 --> 00:26:01.375 align:middle line:90%
it creates a generation and--

00:26:01.375 --> 00:26:04.000 align:middle line:84%
it creates a center where a lot
of generation and recombination

00:26:04.000 --> 00:26:04.820 align:middle line:90%
can happen.

00:26:04.820 --> 00:26:09.050 align:middle line:84%
So it can trap carriers and
reduce carrier lifetime.

00:26:09.050 --> 00:26:11.800 align:middle line:84%
So the worst place, the
worst types of elements then,

00:26:11.800 --> 00:26:13.690 align:middle line:84%
the bad actors, are
the ones that have

00:26:13.690 --> 00:26:15.143 align:middle line:90%
deep levels right near mid-gap.

00:26:15.143 --> 00:26:16.810 align:middle line:84%
And you see there are
some of the things

00:26:16.810 --> 00:26:19.120 align:middle line:84%
that people commonly
talk about in clean rooms

00:26:19.120 --> 00:26:20.590 align:middle line:90%
as you need to avoid.

00:26:20.590 --> 00:26:22.300 align:middle line:84%
For example, copper,
right here, it's

00:26:22.300 --> 00:26:26.060 align:middle line:84%
got a number of deep levels,
one at mid-gap, iron, zinc,

00:26:26.060 --> 00:26:27.480 align:middle line:90%
and gold.

00:26:27.480 --> 00:26:30.660 align:middle line:84%
So they're very-- deep
levels are very undesirable.

00:26:30.660 --> 00:26:32.970 align:middle line:84%
You should take
this, though, summary

00:26:32.970 --> 00:26:35.640 align:middle line:84%
chart with a grain of salt.
It gives you a rough idea.

00:26:35.640 --> 00:26:37.950 align:middle line:90%
Don't take it too literally.

00:26:37.950 --> 00:26:40.430 align:middle line:90%
It's representative, however.

00:26:40.430 --> 00:26:42.180 align:middle line:84%
If you want to look
at it a different way,

00:26:42.180 --> 00:26:44.460 align:middle line:90%
you move to the next slide.

00:26:44.460 --> 00:26:46.740 align:middle line:90%
And I took this chart.

00:26:46.740 --> 00:26:50.430 align:middle line:84%
This is actually a colored
version of the periodic chart

00:26:50.430 --> 00:26:52.470 align:middle line:90%
that I took from your textbook.

00:26:52.470 --> 00:26:55.607 align:middle line:84%
And it characterizes
the elements

00:26:55.607 --> 00:26:57.690 align:middle line:84%
according to their position
in the periodic table.

00:26:57.690 --> 00:27:02.370 align:middle line:84%
And here in column 4 is
where silicon is, of course.

00:27:02.370 --> 00:27:03.720 align:middle line:90%
That's our semiconductor.

00:27:03.720 --> 00:27:07.020 align:middle line:84%
The shallow acceptors,
which make the semiconductor

00:27:07.020 --> 00:27:09.330 align:middle line:84%
p-type which we need to add
in, are typically boron.

00:27:09.330 --> 00:27:11.940 align:middle line:90%
They're shown here in column 3.

00:27:11.940 --> 00:27:13.890 align:middle line:84%
The shallow donors
are in column 5.

00:27:13.890 --> 00:27:17.190 align:middle line:84%
Of course, they have one
extra valence electron

00:27:17.190 --> 00:27:18.510 align:middle line:90%
compared to silicon.

00:27:18.510 --> 00:27:20.310 align:middle line:90%
So those are fine elements.

00:27:20.310 --> 00:27:21.750 align:middle line:90%
The problems are here.

00:27:21.750 --> 00:27:23.430 align:middle line:84%
The problem elements,
as you notice,

00:27:23.430 --> 00:27:25.290 align:middle line:84%
tend to be in the
transition metals.

00:27:25.290 --> 00:27:28.720 align:middle line:84%
These form these deep levels,
these Shockley-Read-Hall

00:27:28.720 --> 00:27:30.100 align:middle line:90%
recombination centers.

00:27:30.100 --> 00:27:33.610 align:middle line:84%
And a lot of them are in
the transition elements.

00:27:33.610 --> 00:27:35.920 align:middle line:84%
The other problems are
shown over here on the left,

00:27:35.920 --> 00:27:40.960 align:middle line:84%
the alkali ions, lithium,
sodium, potassium, as well as

00:27:40.960 --> 00:27:44.240 align:middle line:84%
calcium is also included
in that category.

00:27:44.240 --> 00:27:46.733 align:middle line:84%
These are a problem not
so much because they

00:27:46.733 --> 00:27:48.400 align:middle line:84%
create deep, deep
levels in the silicon,

00:27:48.400 --> 00:27:51.190 align:middle line:84%
but because they impact the
quality, the electrical quality,

00:27:51.190 --> 00:27:54.940 align:middle line:84%
of the gate oxide, its ability
to act as a good insulator.

00:27:54.940 --> 00:27:56.560 align:middle line:84%
They can cause shifts
in the threshold

00:27:56.560 --> 00:27:57.580 align:middle line:90%
voltage, their presence.

00:27:57.580 --> 00:28:01.660 align:middle line:84%
They tend to be mobile
in oxide under bias.

00:28:01.660 --> 00:28:02.930 align:middle line:90%
So that's a problem.

00:28:02.930 --> 00:28:06.250 align:middle line:84%
So we certainly want
to get rid of these.

00:28:06.250 --> 00:28:08.458 align:middle line:84%
So the idea here
in gettering, which

00:28:08.458 --> 00:28:10.000 align:middle line:84%
is a process we're
going to talk now,

00:28:10.000 --> 00:28:12.130 align:middle line:84%
is we're going to take all
these unwanted elements,

00:28:12.130 --> 00:28:15.610 align:middle line:84%
the transition metals,
some of the heavy metals,

00:28:15.610 --> 00:28:16.900 align:middle line:90%
the alkali ions.

00:28:16.900 --> 00:28:19.552 align:middle line:84%
And we want to collect them
in a region of the chip.

00:28:19.552 --> 00:28:21.260 align:middle line:84%
Either we want to
avoid introducing them,

00:28:21.260 --> 00:28:23.542 align:middle line:84%
which we'll try to do,
or if we can't totally,

00:28:23.542 --> 00:28:25.750 align:middle line:84%
we're going to collect them
in the region of the chip

00:28:25.750 --> 00:28:28.110 align:middle line:90%
where they won't be harmful.

00:28:28.110 --> 00:28:30.170 align:middle line:84%
In order to do
gettering, and gettering

00:28:30.170 --> 00:28:32.750 align:middle line:84%
is most effective for
the transition metals,

00:28:32.750 --> 00:28:34.460 align:middle line:84%
we need to take the
elements wherever

00:28:34.460 --> 00:28:37.190 align:middle line:84%
they are during the process
and make them mobile.

00:28:37.190 --> 00:28:40.310 align:middle line:84%
So they have to get away from
their position near the device

00:28:40.310 --> 00:28:43.070 align:middle line:84%
and be attracted to
another part of the wafer.

00:28:43.070 --> 00:28:44.478 align:middle line:90%
So they have to then diffuse.

00:28:44.478 --> 00:28:45.770 align:middle line:90%
So they have to be made mobile.

00:28:45.770 --> 00:28:49.670 align:middle line:84%
They have to then mobilize and
diffuse to the trapping site.

00:28:49.670 --> 00:28:51.510 align:middle line:84%
And then they have
to stick there.

00:28:51.510 --> 00:28:53.180 align:middle line:84%
So there's three
processes that you

00:28:53.180 --> 00:28:55.970 align:middle line:84%
have to do in order
to getter impurities.

00:28:55.970 --> 00:28:58.860 align:middle line:90%


00:28:58.860 --> 00:29:00.350 align:middle line:84%
So let's go on to
slide number 11.

00:29:00.350 --> 00:29:03.470 align:middle line:84%
And this is a schematic
illustration and discussion

00:29:03.470 --> 00:29:08.340 align:middle line:84%
of the methods of
gettering for alkali ions.

00:29:08.340 --> 00:29:10.018 align:middle line:84%
And this is a
cross-section, meant

00:29:10.018 --> 00:29:12.060 align:middle line:84%
to be a cross-section of
your wafer starting here

00:29:12.060 --> 00:29:14.640 align:middle line:84%
at the bottom in red, the
back side of the wafer.

00:29:14.640 --> 00:29:18.280 align:middle line:84%
And up at top is the
front side of the wafer.

00:29:18.280 --> 00:29:19.770 align:middle line:84%
There are some
devices here shown.

00:29:19.770 --> 00:29:21.990 align:middle line:84%
These little
regions are supposed

00:29:21.990 --> 00:29:24.220 align:middle line:90%
to be p-n junctions, perhaps.

00:29:24.220 --> 00:29:26.910 align:middle line:84%
And in pink at the very
top is what's called--

00:29:26.910 --> 00:29:31.570 align:middle line:84%
someone has put on the
wafer a layer of PSG,

00:29:31.570 --> 00:29:33.850 align:middle line:84%
also called
phosphosilicate glass.

00:29:33.850 --> 00:29:36.885 align:middle line:84%
It's actually an
SiO2 layer, which

00:29:36.885 --> 00:29:39.650 align:middle line:84%
it has a lot of phosphorous
in it, up to 5%.

00:29:39.650 --> 00:29:41.590 align:middle line:90%
So it's an alloy.

00:29:41.590 --> 00:29:43.750 align:middle line:84%
This is an
old-fashioned technique.

00:29:43.750 --> 00:29:46.270 align:middle line:84%
People used to use it
because alkali ions tend

00:29:46.270 --> 00:29:49.900 align:middle line:90%
to be trapped in that glass.

00:29:49.900 --> 00:29:53.650 align:middle line:84%
It's not so much in use anymore
because it tends to absorb water

00:29:53.650 --> 00:29:56.090 align:middle line:90%
later on in the process.

00:29:56.090 --> 00:29:58.030 align:middle line:84%
And if you are using
aluminum metallization,

00:29:58.030 --> 00:30:00.800 align:middle line:90%
it can cause corrosion.

00:30:00.800 --> 00:30:02.895 align:middle line:84%
So the approach to
alkali ions these days

00:30:02.895 --> 00:30:04.270 align:middle line:84%
as opposed to
trying to gettering

00:30:04.270 --> 00:30:05.740 align:middle line:90%
them is a little different.

00:30:05.740 --> 00:30:09.200 align:middle line:84%
People just try not to get
them in during the process.

00:30:09.200 --> 00:30:11.048 align:middle line:84%
And then once the
chip is fabbed,

00:30:11.048 --> 00:30:13.090 align:middle line:84%
they don't want them to
get in after fabrication.

00:30:13.090 --> 00:30:14.570 align:middle line:90%
They put a protective layer.

00:30:14.570 --> 00:30:16.810 align:middle line:84%
So the alternative of
putting PSG in here

00:30:16.810 --> 00:30:19.660 align:middle line:90%
is to put silicon nitride.

00:30:19.660 --> 00:30:21.752 align:middle line:90%
It's a relatively tough layer.

00:30:21.752 --> 00:30:22.960 align:middle line:90%
It doesn't scratch very well.

00:30:22.960 --> 00:30:26.260 align:middle line:84%
And it protects the chip
from alkali ion contamination

00:30:26.260 --> 00:30:27.160 align:middle line:90%
after processing.

00:30:27.160 --> 00:30:28.900 align:middle line:84%
So once the chip is
finished, there's

00:30:28.900 --> 00:30:31.880 align:middle line:84%
a scratch mask put down
of silicon nitride.

00:30:31.880 --> 00:30:34.910 align:middle line:84%
And then alkali ions that
would come on the chip surface

00:30:34.910 --> 00:30:40.903 align:middle line:84%
later after fabrication
can't get through it.

00:30:40.903 --> 00:30:43.070 align:middle line:84%
Now, so this isn't really
so much gettering anymore.

00:30:43.070 --> 00:30:44.870 align:middle line:84%
It's more like preventing
it from happening.

00:30:44.870 --> 00:30:47.120 align:middle line:84%
And this assumes, of course,
that the processing steps

00:30:47.120 --> 00:30:48.700 align:middle line:84%
are free of alkali
ion contamination.

00:30:48.700 --> 00:30:52.150 align:middle line:84%
That's why it's so
important in processing,

00:30:52.150 --> 00:30:53.950 align:middle line:84%
if we go back to
this periodic chart,

00:30:53.950 --> 00:30:58.390 align:middle line:84%
that we try to keep people out
of the lab because all of us

00:30:58.390 --> 00:31:00.010 align:middle line:84%
are full of sodium
and potassium.

00:31:00.010 --> 00:31:01.930 align:middle line:84%
Without sodium and potassium,
we'd all die immediately.

00:31:01.930 --> 00:31:03.180 align:middle line:90%
Our hearts would stop beating.

00:31:03.180 --> 00:31:08.507 align:middle line:84%
So we're just exuding sodium,
potassium, calcium, our bones,

00:31:08.507 --> 00:31:09.340 align:middle line:90%
calcium, everything.

00:31:09.340 --> 00:31:12.787 align:middle line:84%
So people are one of the
worst, worst things in the lab.

00:31:12.787 --> 00:31:14.620 align:middle line:84%
And that's why you would
never touch a wafer

00:31:14.620 --> 00:31:16.840 align:middle line:84%
or do anything where
anything from your body

00:31:16.840 --> 00:31:18.700 align:middle line:84%
can get onto the
wafer because we have

00:31:18.700 --> 00:31:21.770 align:middle line:90%
a lot of alkali ions in us.

00:31:21.770 --> 00:31:25.040 align:middle line:84%
So trace metals are
a little different.

00:31:25.040 --> 00:31:28.670 align:middle line:84%
There are some pretty effective
ways of gettering trace metals.

00:31:28.670 --> 00:31:30.120 align:middle line:90%
In fact, there are two methods.

00:31:30.120 --> 00:31:35.460 align:middle line:84%
One, they're both shown here
schematically on slide 12.

00:31:35.460 --> 00:31:37.298 align:middle line:84%
The first one is called
extrinsic gettering.

00:31:37.298 --> 00:31:38.340 align:middle line:90%
What does extrinsic mean?

00:31:38.340 --> 00:31:39.900 align:middle line:90%
Well, extra.

00:31:39.900 --> 00:31:44.700 align:middle line:84%
You externally put something--
do something to the wafer.

00:31:44.700 --> 00:31:46.320 align:middle line:84%
Usually, on the
back side, you often

00:31:46.320 --> 00:31:52.290 align:middle line:84%
put a layer of something, which
is created to trap ions or trap

00:31:52.290 --> 00:31:54.600 align:middle line:90%
metal ions down here.

00:31:54.600 --> 00:31:56.820 align:middle line:84%
So it's usually
extrinsic to the wafer.

00:31:56.820 --> 00:31:57.900 align:middle line:90%
That is, it's extra.

00:31:57.900 --> 00:32:00.660 align:middle line:90%
It's been added on.

00:32:00.660 --> 00:32:04.680 align:middle line:84%
The second way is to do what
they call intrinsic gettering.

00:32:04.680 --> 00:32:06.720 align:middle line:84%
And that's to, in the
center of the wafer,

00:32:06.720 --> 00:32:08.850 align:middle line:84%
in the middle region
here that's shaded,

00:32:08.850 --> 00:32:11.220 align:middle line:84%
is to intentionally
form a region

00:32:11.220 --> 00:32:13.520 align:middle line:90%
full of oxygen precipitates.

00:32:13.520 --> 00:32:15.740 align:middle line:84%
And these precipitates
create little traps

00:32:15.740 --> 00:32:19.432 align:middle line:84%
where the metal atoms can
diffuse to and get stuck.

00:32:19.432 --> 00:32:21.140 align:middle line:84%
And they're within
the bulk of the wafer.

00:32:21.140 --> 00:32:23.665 align:middle line:84%
Generally, for most ICs,
the bulk of the wafer

00:32:23.665 --> 00:32:25.040 align:middle line:84%
is not part of
the active region.

00:32:25.040 --> 00:32:28.070 align:middle line:84%
It's just a handle
just holding the thing.

00:32:28.070 --> 00:32:29.990 align:middle line:84%
So it's OK to have
the metals there.

00:32:29.990 --> 00:32:32.755 align:middle line:84%
Now, of course, if you're
making a power device, where

00:32:32.755 --> 00:32:34.880 align:middle line:84%
the currents flow through
from the top of the wafer

00:32:34.880 --> 00:32:37.047 align:middle line:84%
to the bottom of the wafer,
this would be a problem.

00:32:37.047 --> 00:32:43.270 align:middle line:84%
But for most microprocessor
memory, this would be effective.

00:32:43.270 --> 00:32:44.980 align:middle line:84%
Intrinsic gettering
is more popular

00:32:44.980 --> 00:32:46.840 align:middle line:90%
these days than extrinsic.

00:32:46.840 --> 00:32:49.030 align:middle line:84%
For these reasons,
it's a little bit--

00:32:49.030 --> 00:32:50.800 align:middle line:90%
has a little better control.

00:32:50.800 --> 00:32:54.580 align:middle line:84%
The gettering region here is
actually closer to the devices.

00:32:54.580 --> 00:32:56.360 align:middle line:84%
It can be within
10 or 20 microns.

00:32:56.360 --> 00:32:59.980 align:middle line:84%
So it's not so hard to get the
bad elements out of the devices

00:32:59.980 --> 00:33:02.200 align:middle line:90%
and into the gettering region.

00:33:02.200 --> 00:33:06.160 align:middle line:84%
And the other thing about it
is that these SiO2 precipitates

00:33:06.160 --> 00:33:08.330 align:middle line:84%
tend to be thermally
stable once they're formed.

00:33:08.330 --> 00:33:12.550 align:middle line:84%
So it's usually works
throughout the entire process.

00:33:12.550 --> 00:33:16.960 align:middle line:84%
Not always the case with
the backside gettering.

00:33:16.960 --> 00:33:20.417 align:middle line:84%
Let's go on to slide
number 13 and think about,

00:33:20.417 --> 00:33:21.500 align:middle line:90%
what are we talking about?

00:33:21.500 --> 00:33:23.920 align:middle line:84%
We're taking
elements away from--

00:33:23.920 --> 00:33:26.950 align:middle line:84%
impurities out of the device
regions during the processing.

00:33:26.950 --> 00:33:29.613 align:middle line:84%
And we somehow have to get them
to diffuse to these trap sites.

00:33:29.613 --> 00:33:31.030 align:middle line:84%
So the first thing
we need to know

00:33:31.030 --> 00:33:33.670 align:middle line:84%
is, how rapidly at
a given temperature

00:33:33.670 --> 00:33:35.290 align:middle line:84%
are these elements
going to diffuse?

00:33:35.290 --> 00:33:36.860 align:middle line:84%
If they don't
diffuse fast enough,

00:33:36.860 --> 00:33:39.277 align:middle line:84%
there's no way you're ever
going to get them to the traps.

00:33:39.277 --> 00:33:40.970 align:middle line:90%


00:33:40.970 --> 00:33:43.770 align:middle line:84%
So there's some good
news and some bad news.

00:33:43.770 --> 00:33:47.330 align:middle line:84%
The good news is that most
metals diffuse as interstitials,

00:33:47.330 --> 00:33:51.090 align:middle line:84%
so in the interstitial spaces
in silicon very rapidly,

00:33:51.090 --> 00:33:53.180 align:middle line:84%
which means you have a
chance of grabbing them,

00:33:53.180 --> 00:33:55.280 align:middle line:84%
of getting them to go
from the device region

00:33:55.280 --> 00:33:57.990 align:middle line:84%
to the back of the wafer or
into the bulk of the wafer.

00:33:57.990 --> 00:33:59.930 align:middle line:84%
And in fact, here's
some numbers for you

00:33:59.930 --> 00:34:02.330 align:middle line:90%
quantitatively on this plot.

00:34:02.330 --> 00:34:04.400 align:middle line:84%
The left axis shows
the diffusivity.

00:34:04.400 --> 00:34:07.820 align:middle line:84%
And we measure that in units
of a length squared per second.

00:34:07.820 --> 00:34:10.580 align:middle line:84%
We're going to talk about
the process or per unit time.

00:34:10.580 --> 00:34:14.017 align:middle line:84%
We'll talk about the process of
diffusion later in the course.

00:34:14.017 --> 00:34:16.100 align:middle line:84%
But the bigger this number,
let's put it that way,

00:34:16.100 --> 00:34:19.489 align:middle line:84%
the faster the elements will
move at a given temperature

00:34:19.489 --> 00:34:21.076 align:middle line:90%
throughout the wafer.

00:34:21.076 --> 00:34:22.909 align:middle line:84%
And this is what's
called an Arrhenius plot.

00:34:22.909 --> 00:34:27.380 align:middle line:84%
So it's plotted versus
1,000 or 1 over temperature

00:34:27.380 --> 00:34:28.250 align:middle line:90%
on the bottom axis.

00:34:28.250 --> 00:34:31.100 align:middle line:84%
If you want to read temperatures
in actual units of centigrade,

00:34:31.100 --> 00:34:33.290 align:middle line:84%
you can read it up at
the top axis from here,

00:34:33.290 --> 00:34:35.960 align:middle line:84%
from 800, all the
way up to 1,200.

00:34:35.960 --> 00:34:38.900 align:middle line:84%
And the different curves
are for different elements.

00:34:38.900 --> 00:34:41.630 align:middle line:84%
And all the metals here
are indicated in red.

00:34:41.630 --> 00:34:44.239 align:middle line:84%
So here's some
common metals, things

00:34:44.239 --> 00:34:46.820 align:middle line:84%
that we mentioned as being
very bad for lifetime killers.

00:34:46.820 --> 00:34:47.630 align:middle line:90%
Here's copper.

00:34:47.630 --> 00:34:50.065 align:middle line:84%
Look at copper,
almost irrespective

00:34:50.065 --> 00:34:51.440 align:middle line:84%
of the temperature
in this range.

00:34:51.440 --> 00:34:53.570 align:middle line:84%
Copper is zipping
through the wafer faster

00:34:53.570 --> 00:34:56.060 align:middle line:90%
than any of these others.

00:34:56.060 --> 00:34:59.450 align:middle line:84%
Here's gold, Au, as
an interstitial form.

00:34:59.450 --> 00:35:01.790 align:middle line:90%
It diffuses quite rapidly.

00:35:01.790 --> 00:35:04.130 align:middle line:84%
Gold here, when it's
substitutional on the lattice,

00:35:04.130 --> 00:35:06.330 align:middle line:84%
so the gold atom ends
up being substitutional,

00:35:06.330 --> 00:35:07.760 align:middle line:90%
doesn't diffuse quite so fast.

00:35:07.760 --> 00:35:11.142 align:middle line:90%
It's orders of magnitudes down.

00:35:11.142 --> 00:35:13.600 align:middle line:84%
Looking here at these, these
are the diffusion coefficients

00:35:13.600 --> 00:35:17.697 align:middle line:84%
in blue here for the
shallow impurities,

00:35:17.697 --> 00:35:19.030 align:middle line:90%
like arsenic, boron, phosphorus.

00:35:19.030 --> 00:35:20.810 align:middle line:90%
They diffuse much slower.

00:35:20.810 --> 00:35:27.370 align:middle line:84%
And this dark, I guess, stippled
region that's colored in tan

00:35:27.370 --> 00:35:31.300 align:middle line:84%
is roughly the region where
people believe the silicon

00:35:31.300 --> 00:35:32.650 align:middle line:90%
interstitial diffuses.

00:35:32.650 --> 00:35:35.260 align:middle line:84%
Again, no one's been able
to actually measure exactly

00:35:35.260 --> 00:35:37.150 align:middle line:84%
because you can't see
a silicon interstitial.

00:35:37.150 --> 00:35:39.340 align:middle line:84%
So you can't profile it,
how rapidly it diffuses.

00:35:39.340 --> 00:35:41.380 align:middle line:84%
But there's indirect
ways of inferring it.

00:35:41.380 --> 00:35:43.960 align:middle line:84%
So somewhere in this
band, this brown band,

00:35:43.960 --> 00:35:46.450 align:middle line:84%
is where the silicon
interstitial diffusivity lies.

00:35:46.450 --> 00:35:47.630 align:middle line:90%
It's not bad.

00:35:47.630 --> 00:35:49.855 align:middle line:84%
It's not as fast as
the fastest metals.

00:35:49.855 --> 00:35:53.890 align:middle line:84%
It's not as fast as copper
or sub-- or interstitial gold

00:35:53.890 --> 00:35:54.400 align:middle line:90%
or iron.

00:35:54.400 --> 00:35:58.682 align:middle line:84%
But it's in the range
of some of the metals.

00:35:58.682 --> 00:36:01.140 align:middle line:84%
Just to give you an example
here, this bottom bullet shows,

00:36:01.140 --> 00:36:03.780 align:middle line:84%
let's say take copper
at 900 degrees.

00:36:03.780 --> 00:36:07.560 align:middle line:84%
You can read off this chart
that diffusivity, D, is about 10

00:36:07.560 --> 00:36:10.080 align:middle line:84%
to the minus 4 centimeters
squared per second.

00:36:10.080 --> 00:36:12.090 align:middle line:84%
We'll learn that
a rough estimate

00:36:12.090 --> 00:36:15.600 align:middle line:84%
of how far a profile diffuses
can be the square root of D

00:36:15.600 --> 00:36:16.690 align:middle line:90%
times the time.

00:36:16.690 --> 00:36:20.670 align:middle line:84%
So if I put this wafer that
accidentally has some copper

00:36:20.670 --> 00:36:24.330 align:middle line:84%
by accident on the surface,
in the furnace at 900

00:36:24.330 --> 00:36:26.580 align:middle line:84%
degrees in one minute,
the square root of dt

00:36:26.580 --> 00:36:28.470 align:middle line:90%
is 780 microns.

00:36:28.470 --> 00:36:31.840 align:middle line:84%
And the wafer is only
typically 600 microns thick.

00:36:31.840 --> 00:36:35.760 align:middle line:84%
So basically, that copper can
go right through the wafer

00:36:35.760 --> 00:36:37.277 align:middle line:90%
and be anywhere in the wafer.

00:36:37.277 --> 00:36:39.360 align:middle line:84%
That's bad because, if you
accidentally get copper

00:36:39.360 --> 00:36:41.620 align:middle line:84%
on the back of the wafer,
let's say where you say,

00:36:41.620 --> 00:36:43.440 align:middle line:84%
oh, it won't hurt anything,
you put it in the furnace,

00:36:43.440 --> 00:36:44.160 align:middle line:90%
well, it sure will.

00:36:44.160 --> 00:36:45.450 align:middle line:84%
It'll be in the
front real quickly.

00:36:45.450 --> 00:36:46.740 align:middle line:84%
It's good if you're
trying to getter

00:36:46.740 --> 00:36:49.050 align:middle line:84%
because, if the copper happens
to be in your device region,

00:36:49.050 --> 00:36:51.030 align:middle line:84%
you can try to get it to
the back of the wafer.

00:36:51.030 --> 00:36:52.687 align:middle line:90%
And the key is to hold it there.

00:36:52.687 --> 00:36:53.770 align:middle line:90%
So it's both good and bad.

00:36:53.770 --> 00:36:57.015 align:middle line:84%
But metals are very
fast diffusers.

00:36:57.015 --> 00:37:01.500 align:middle line:84%
Well, and that's-- copper
is an extreme example.

00:37:01.500 --> 00:37:05.330 align:middle line:84%
So let's go on to slide
14, which talks about metal

00:37:05.330 --> 00:37:06.750 align:middle line:90%
gettering a little bit more.

00:37:06.750 --> 00:37:10.460 align:middle line:84%
And this plot on the
vertical axis is temperature.

00:37:10.460 --> 00:37:13.730 align:middle line:84%
And the bottom, the
horizontal axis,

00:37:13.730 --> 00:37:15.060 align:middle line:90%
is atoms per cubic centimeter.

00:37:15.060 --> 00:37:19.340 align:middle line:84%
It represents the solubilities
of the fast-diffusing metal

00:37:19.340 --> 00:37:20.760 align:middle line:90%
as a function of temperature.

00:37:20.760 --> 00:37:22.890 align:middle line:84%
So if you look at any
point on this curve,

00:37:22.890 --> 00:37:24.800 align:middle line:84%
if you have a concentration
higher than that

00:37:24.800 --> 00:37:28.550 align:middle line:84%
at that temperature, then the
metal will tend to precipitate

00:37:28.550 --> 00:37:33.370 align:middle line:90%
out, will not be in solution.

00:37:33.370 --> 00:37:35.850 align:middle line:84%
So metals preferentially
like to reside

00:37:35.850 --> 00:37:38.560 align:middle line:84%
in sites on the silicon lattice
where there's imperfections.

00:37:38.560 --> 00:37:39.310 align:middle line:90%
So this is key.

00:37:39.310 --> 00:37:41.880 align:middle line:90%
We can use this, this idea.

00:37:41.880 --> 00:37:42.970 align:middle line:90%
Why might this be?

00:37:42.970 --> 00:37:45.962 align:middle line:84%
Well, the metals don't fit
because of their atomic size

00:37:45.962 --> 00:37:46.920 align:middle line:90%
different from silicon.

00:37:46.920 --> 00:37:49.740 align:middle line:84%
They don't fit into
the silicon lattice.

00:37:49.740 --> 00:37:51.720 align:middle line:84%
The other thing is
that if you have

00:37:51.720 --> 00:37:54.450 align:middle line:84%
a fault or a disordered
region in the crystal,

00:37:54.450 --> 00:37:56.850 align:middle line:84%
it might be able to accommodate
this size difference

00:37:56.850 --> 00:37:59.440 align:middle line:90%
and trap the metal atom there.

00:37:59.440 --> 00:38:01.980 align:middle line:84%
And it turns out that
dislocations and stacking

00:38:01.980 --> 00:38:04.410 align:middle line:84%
faults, these are crystal
imperfections that

00:38:04.410 --> 00:38:08.250 align:middle line:84%
can exist in the wafer,
sometimes, they are well

00:38:08.250 --> 00:38:11.760 align:middle line:90%
known as trapping sites for--

00:38:11.760 --> 00:38:15.210 align:middle line:84%
or sites that where
copper, gold, and iron tend

00:38:15.210 --> 00:38:17.350 align:middle line:90%
to accumulate and precipitate.

00:38:17.350 --> 00:38:20.715 align:middle line:84%
So if you have dislocations,
depending on where they are,

00:38:20.715 --> 00:38:21.840 align:middle line:90%
that could be a good thing.

00:38:21.840 --> 00:38:23.610 align:middle line:84%
You could try to
create dislocations.

00:38:23.610 --> 00:38:25.890 align:middle line:84%
And these, they tend
to be decorated,

00:38:25.890 --> 00:38:29.550 align:middle line:84%
so to speak, with these
copper, gold, and iron.

00:38:29.550 --> 00:38:31.410 align:middle line:84%
So the trick, the
name of the game,

00:38:31.410 --> 00:38:34.810 align:middle line:84%
is to form these kind of
defects intentionally, not

00:38:34.810 --> 00:38:36.910 align:middle line:84%
in your device region,
because then you'd

00:38:36.910 --> 00:38:39.430 align:middle line:84%
have copper, and gold,
and iron there, but away

00:38:39.430 --> 00:38:40.670 align:middle line:90%
from the active region.

00:38:40.670 --> 00:38:43.000 align:middle line:84%
And so the idea
of metal gettering

00:38:43.000 --> 00:38:46.930 align:middle line:84%
is how to form these
types of things.

00:38:46.930 --> 00:38:49.290 align:middle line:84%
So on slide 16, we
talk a little bit

00:38:49.290 --> 00:38:53.100 align:middle line:84%
about how extrinsic
gathering can take place.

00:38:53.100 --> 00:38:55.287 align:middle line:84%
Usually, in the
extrinsic case, they

00:38:55.287 --> 00:38:57.120 align:middle line:84%
try to form, people try
to form, these sites

00:38:57.120 --> 00:38:58.200 align:middle line:90%
on the back side of the wafer.

00:38:58.200 --> 00:38:59.992 align:middle line:84%
And there are a number
of ways of doing it,

00:38:59.992 --> 00:39:03.217 align:middle line:84%
some very crude,
grinding and sandpaper.

00:39:03.217 --> 00:39:05.550 align:middle line:84%
Sometimes you'll look at the
back of a wafer, especially

00:39:05.550 --> 00:39:06.420 align:middle line:90%
an older wafer.

00:39:06.420 --> 00:39:09.840 align:middle line:84%
And you look at it and there's
this ground pattern, almost look

00:39:09.840 --> 00:39:11.220 align:middle line:90%
like it was put in a lathe.

00:39:11.220 --> 00:39:13.980 align:middle line:84%
And it goes around, this pattern
that goes on the back side.

00:39:13.980 --> 00:39:16.530 align:middle line:84%
That was intentionally ground
into the back of the wafer

00:39:16.530 --> 00:39:20.040 align:middle line:84%
to make a lot of
these gettering sites.

00:39:20.040 --> 00:39:21.780 align:middle line:84%
They used to use
sandpaper abrasion.

00:39:21.780 --> 00:39:23.950 align:middle line:90%
That's not so popular anymore.

00:39:23.950 --> 00:39:27.540 align:middle line:84%
People these days use the
cleaner processes or the cleaner

00:39:27.540 --> 00:39:28.800 align:middle line:90%
methods.

00:39:28.800 --> 00:39:31.230 align:middle line:84%
Ion implantation can
be used to damage

00:39:31.230 --> 00:39:33.690 align:middle line:84%
the back of the
wafer, a deposition

00:39:33.690 --> 00:39:35.040 align:middle line:90%
of a polycrystalline film.

00:39:35.040 --> 00:39:38.760 align:middle line:84%
It's not that unusual
to find polysilicon

00:39:38.760 --> 00:39:41.040 align:middle line:84%
on the back of the
wafer or a region

00:39:41.040 --> 00:39:42.630 align:middle line:84%
very highly doped
with phosphorus

00:39:42.630 --> 00:39:44.022 align:middle line:90%
on the back of the wafer.

00:39:44.022 --> 00:39:45.480 align:middle line:84%
These are all
regions where metals,

00:39:45.480 --> 00:39:49.160 align:middle line:84%
if they diffuse back there,
will get trapped and stick.

00:39:49.160 --> 00:39:51.580 align:middle line:84%
So the whole idea is,
let's make extended defects

00:39:51.580 --> 00:39:54.190 align:middle line:84%
that are stable throughout the
high-temperature processing.

00:39:54.190 --> 00:39:56.320 align:middle line:84%
The problem is if they tend--
these extended defects tend

00:39:56.320 --> 00:39:58.060 align:middle line:84%
to heal, the metals
will then be released

00:39:58.060 --> 00:39:59.977 align:middle line:84%
and they'll go back to
the front of the wafer.

00:39:59.977 --> 00:40:04.110 align:middle line:90%


00:40:04.110 --> 00:40:05.820 align:middle line:90%
So that's extrinsic gettering.

00:40:05.820 --> 00:40:09.440 align:middle line:84%
So if we go on to page
or slide number 16,

00:40:09.440 --> 00:40:12.060 align:middle line:84%
we have a schematic of
this intrinsic gathering,

00:40:12.060 --> 00:40:14.920 align:middle line:90%
which is a little more common.

00:40:14.920 --> 00:40:16.650 align:middle line:84%
Remember the last
time we talked,

00:40:16.650 --> 00:40:19.725 align:middle line:84%
we said that oxygen is present
in all Czochralski silicon.

00:40:19.725 --> 00:40:20.850 align:middle line:90%
It comes from the crucible.

00:40:20.850 --> 00:40:23.650 align:middle line:84%
There's nothing we
can do about it.

00:40:23.650 --> 00:40:26.700 align:middle line:84%
And it can be introduced in
this supersaturated form.

00:40:26.700 --> 00:40:30.120 align:middle line:84%
That is, oxygen can
be dissolved in there

00:40:30.120 --> 00:40:33.060 align:middle line:84%
because the wafer was cooled
at a relatively rapid weight--

00:40:33.060 --> 00:40:34.230 align:middle line:90%
rate.

00:40:34.230 --> 00:40:36.930 align:middle line:84%
But there's more oxygen
there than the crystal

00:40:36.930 --> 00:40:40.330 align:middle line:84%
wants to hold at that
temperature in equilibrium.

00:40:40.330 --> 00:40:43.815 align:middle line:84%
So if you were to heat
that crystal up and give it

00:40:43.815 --> 00:40:46.620 align:middle line:84%
a long enough time, the oxygen
could then tend to form--

00:40:46.620 --> 00:40:49.800 align:middle line:90%
precipitate out and form SiO2.

00:40:49.800 --> 00:40:54.060 align:middle line:84%
So oxygen forms these SiO2
precipitates in the crystal.

00:40:54.060 --> 00:40:56.970 align:middle line:84%
And the interesting thing
is that these precipitates

00:40:56.970 --> 00:40:58.950 align:middle line:84%
are usually accompanied
by some kind of defect,

00:40:58.950 --> 00:41:01.140 align:middle line:84%
mechanical defect,
like a stacking fault

00:41:01.140 --> 00:41:04.310 align:middle line:84%
or an extended defect,
like dislocations.

00:41:04.310 --> 00:41:06.060 align:middle line:84%
And that's because of
the volume mismatch.

00:41:06.060 --> 00:41:07.860 align:middle line:90%
SiO2 wants to expand.

00:41:07.860 --> 00:41:09.852 align:middle line:84%
These little SiO2
precipitates want to expand.

00:41:09.852 --> 00:41:11.560 align:middle line:84%
They compress the
silicon lattice around.

00:41:11.560 --> 00:41:13.680 align:middle line:84%
If they compress it
enough, it can pop out

00:41:13.680 --> 00:41:16.540 align:middle line:90%
these extended defects.

00:41:16.540 --> 00:41:20.430 align:middle line:84%
So the key point of gettering
is to get this precipitation

00:41:20.430 --> 00:41:24.335 align:middle line:84%
to occur in the bulk, in
the bulk of the crystal,

00:41:24.335 --> 00:41:25.710 align:middle line:84%
throughout the
bulk of the wafer,

00:41:25.710 --> 00:41:27.968 align:middle line:84%
but not in the near
surface region.

00:41:27.968 --> 00:41:29.260 align:middle line:90%
So how are we going to do that?

00:41:29.260 --> 00:41:30.635 align:middle line:84%
Well, have to have
a near surface

00:41:30.635 --> 00:41:34.630 align:middle line:84%
region that doesn't have high
oxygen so it can't precipitate.

00:41:34.630 --> 00:41:36.810 align:middle line:84%
So what we do is
we create something

00:41:36.810 --> 00:41:39.927 align:middle line:84%
called a denuded zone,
which is low in oxygen.

00:41:39.927 --> 00:41:41.760 align:middle line:84%
And there's a couple
of methods of doing it.

00:41:41.760 --> 00:41:44.640 align:middle line:84%
This denuded zone, which is
pictured schematically here,

00:41:44.640 --> 00:41:47.190 align:middle line:84%
typically might be 10
to 20 microns thick.

00:41:47.190 --> 00:41:48.900 align:middle line:84%
It sits on top of
the wafer, the wafer,

00:41:48.900 --> 00:41:52.390 align:middle line:90%
again, being full of oxygen.

00:41:52.390 --> 00:41:55.320 align:middle line:84%
So we can do that-- there's
a process we can use

00:41:55.320 --> 00:41:57.060 align:middle line:84%
called epitaxial
growth, which we're

00:41:57.060 --> 00:42:00.180 align:middle line:84%
going to talk about later in
this term, where we can grow

00:42:00.180 --> 00:42:02.820 align:middle line:84%
material on top that's
very low in oxygen.

00:42:02.820 --> 00:42:05.370 align:middle line:84%
Or if you don't want
to do epitaxial growth,

00:42:05.370 --> 00:42:08.820 align:middle line:84%
because it's fairly expensive,
you can just take the wafer.

00:42:08.820 --> 00:42:10.740 align:middle line:84%
And the very first
step you can do

00:42:10.740 --> 00:42:13.050 align:middle line:84%
is go to a very high
temperature and cause the oxygen

00:42:13.050 --> 00:42:16.090 align:middle line:84%
to outdiffuse, out the surface,
out the front side of the wafer.

00:42:16.090 --> 00:42:20.110 align:middle line:84%
So whatever oxygen was in the
top 10 microns can go out.

00:42:20.110 --> 00:42:22.853 align:middle line:84%
Oxygen buried deeper below
that at this high temperature

00:42:22.853 --> 00:42:24.520 align:middle line:84%
can't make it because
it can't diffuse--

00:42:24.520 --> 00:42:28.670 align:middle line:84%
it doesn't have enough time to
diffuse that amount of distance.

00:42:28.670 --> 00:42:31.180 align:middle line:84%
So one of the first
steps people use

00:42:31.180 --> 00:42:33.160 align:middle line:84%
for doing intrinsic
gettering is sometimes

00:42:33.160 --> 00:42:36.940 align:middle line:84%
a high-temperature step to
create this denuded zone

00:42:36.940 --> 00:42:39.685 align:middle line:84%
or to grow an epitaxial
silicon layer.

00:42:39.685 --> 00:42:42.460 align:middle line:90%


00:42:42.460 --> 00:42:45.250 align:middle line:84%
So let's go to the
next slide, slide 17.

00:42:45.250 --> 00:42:46.960 align:middle line:84%
And the next couple
of slides are

00:42:46.960 --> 00:42:48.940 align:middle line:84%
going to outline the
thermal processing.

00:42:48.940 --> 00:42:51.040 align:middle line:84%
So just by doing these
thermal processing steps,

00:42:51.040 --> 00:42:53.430 align:middle line:90%
you can do intrinsic gettering.

00:42:53.430 --> 00:42:55.440 align:middle line:84%
And this plot
shows schematically

00:42:55.440 --> 00:42:58.290 align:middle line:84%
on the vertical axis the
wafer temperature and time.

00:42:58.290 --> 00:43:00.870 align:middle line:84%
Again, time isn't really
indicated here quantitatively,

00:43:00.870 --> 00:43:02.520 align:middle line:90%
just to give you a rough idea.

00:43:02.520 --> 00:43:04.180 align:middle line:84%
But the first step
is to take the wafer

00:43:04.180 --> 00:43:06.390 align:middle line:84%
at a very high temperature,
say 1,100 degrees,

00:43:06.390 --> 00:43:07.975 align:middle line:90%
and do the outdiffusion step.

00:43:07.975 --> 00:43:10.350 align:middle line:84%
So we're going to take that
wafer, put it in the furnace,

00:43:10.350 --> 00:43:13.620 align:middle line:84%
and let the oxygen go out,
not all of it, but whatever

00:43:13.620 --> 00:43:16.020 align:middle line:90%
is in the near surface region.

00:43:16.020 --> 00:43:20.430 align:middle line:84%
And this expression in the
middle of the slide on slide 17

00:43:20.430 --> 00:43:23.600 align:middle line:84%
shows the diffusivity as
a function of temperature.

00:43:23.600 --> 00:43:24.780 align:middle line:90%
It gives you a rough idea.

00:43:24.780 --> 00:43:27.840 align:middle line:84%
And the nice thing is you don't
have to remove all the oxygen.

00:43:27.840 --> 00:43:30.790 align:middle line:84%
You just have to get the
level below a certain level.

00:43:30.790 --> 00:43:32.760 align:middle line:84%
So for instance,
you need to get it

00:43:32.760 --> 00:43:36.190 align:middle line:84%
from about 20 part per
million down to less than 10.

00:43:36.190 --> 00:43:38.377 align:middle line:84%
If it gets low enough,
the precipitation

00:43:38.377 --> 00:43:39.960 align:middle line:84%
won't take place
because, again, it'll

00:43:39.960 --> 00:43:41.370 align:middle line:90%
be below the solubility limit.

00:43:41.370 --> 00:43:43.440 align:middle line:84%
So you don't have to
worry about precipitation.

00:43:43.440 --> 00:43:46.410 align:middle line:84%
So you're just trying
to reduce it down.

00:43:46.410 --> 00:43:49.470 align:middle line:84%
And usually, 1,100 to 1,200
is sufficient to create

00:43:49.470 --> 00:43:50.160 align:middle line:90%
a denuded zone.

00:43:50.160 --> 00:43:53.350 align:middle line:84%
And that's in the order
of 10 to 20 microns deep.

00:43:53.350 --> 00:43:55.650 align:middle line:84%
It has-- the lower
oxygen concentration

00:43:55.650 --> 00:43:56.770 align:middle line:90%
then will precipitate.

00:43:56.770 --> 00:44:00.000 align:middle line:84%
So that's the first step is
a very high-temperature step.

00:44:00.000 --> 00:44:03.090 align:middle line:84%
Next step in the process,
shown on slide 18,

00:44:03.090 --> 00:44:04.890 align:middle line:90%
is called nucleation.

00:44:04.890 --> 00:44:07.020 align:middle line:84%
So here we go from
this high temperature,

00:44:07.020 --> 00:44:09.640 align:middle line:84%
where we got rid of the
oxygen in the surface region.

00:44:09.640 --> 00:44:12.240 align:middle line:84%
And now we want to nucleate
the precipitates in the bulk.

00:44:12.240 --> 00:44:16.330 align:middle line:84%
So we go down to a lower
temperature, say 700 degrees.

00:44:16.330 --> 00:44:19.140 align:middle line:84%
And we want to cause very,
very small precipitates

00:44:19.140 --> 00:44:20.100 align:middle line:90%
to take place.

00:44:20.100 --> 00:44:24.160 align:middle line:84%
And the optimum temperature for
this is somewhere around 700.

00:44:24.160 --> 00:44:28.050 align:middle line:84%
And this is discussed in
chapter 3 of your text.

00:44:28.050 --> 00:44:32.100 align:middle line:84%
It's optimum because you
need these nuclei to grow

00:44:32.100 --> 00:44:34.470 align:middle line:84%
to a minimum critical
size to prevent them

00:44:34.470 --> 00:44:39.180 align:middle line:84%
from shrinking later when you
start to ramp up the wafer

00:44:39.180 --> 00:44:40.210 align:middle line:90%
temperature.

00:44:40.210 --> 00:44:43.050 align:middle line:84%
So the critical size is
about two nanometers,

00:44:43.050 --> 00:44:44.840 align:middle line:84%
say, one to three
nanometers in diameter,

00:44:44.840 --> 00:44:46.650 align:middle line:90%
this precipitate of SiO2.

00:44:46.650 --> 00:44:49.530 align:middle line:84%
And you need to-- you typically
shoot for a density about 10

00:44:49.530 --> 00:44:51.203 align:middle line:84%
to the 11th per
cubic centimeter.

00:44:51.203 --> 00:44:52.620 align:middle line:84%
So there aren't
too many of these.

00:44:52.620 --> 00:44:55.500 align:middle line:84%
But you definitely
have a density of them.

00:44:55.500 --> 00:44:57.300 align:middle line:90%
So we create these nuclei.

00:44:57.300 --> 00:44:58.890 align:middle line:84%
And then we actually
do-- we grow

00:44:58.890 --> 00:45:02.310 align:middle line:84%
them to be a little bigger
so they become stable.

00:45:02.310 --> 00:45:04.950 align:middle line:84%
So once you've created this
nucleation step, you then

00:45:04.950 --> 00:45:07.320 align:middle line:84%
take it to higher
temperature, say 900 degrees.

00:45:07.320 --> 00:45:10.743 align:middle line:84%
And you grow these nuclei to
make them a little bit larger.

00:45:10.743 --> 00:45:11.910 align:middle line:90%
So you're not creating more.

00:45:11.910 --> 00:45:14.220 align:middle line:90%
You're just making them larger.

00:45:14.220 --> 00:45:17.010 align:middle line:84%
And you typically want
a size, a minimum size,

00:45:17.010 --> 00:45:20.748 align:middle line:84%
say, in the range of
50 to 100 nanometers.

00:45:20.748 --> 00:45:22.540 align:middle line:84%
You have to be careful
how you ramp this up

00:45:22.540 --> 00:45:24.610 align:middle line:84%
so you don't cause
them to all shrink.

00:45:24.610 --> 00:45:26.890 align:middle line:84%
The basic idea is
then you've enabled

00:45:26.890 --> 00:45:28.728 align:middle line:84%
yourself to create
these SiO2 precipitates

00:45:28.728 --> 00:45:29.770 align:middle line:90%
in the bulk of the wafer.

00:45:29.770 --> 00:45:32.720 align:middle line:90%


00:45:32.720 --> 00:45:35.140 align:middle line:84%
So we go on to the
next slide, slide 20.

00:45:35.140 --> 00:45:36.460 align:middle line:90%
This, I took from your text.

00:45:36.460 --> 00:45:39.250 align:middle line:84%
These are some
actual cross-section

00:45:39.250 --> 00:45:42.190 align:middle line:90%
scanning electron micrographs.

00:45:42.190 --> 00:45:44.340 align:middle line:84%
And you're actually looking
at the cross-section

00:45:44.340 --> 00:45:46.080 align:middle line:84%
of a full wafer here
in each picture.

00:45:46.080 --> 00:45:47.770 align:middle line:90%
Each picture is a full wafer.

00:45:47.770 --> 00:45:51.150 align:middle line:84%
So this top here at the very
top is the top of the wafer.

00:45:51.150 --> 00:45:52.830 align:middle line:84%
This bottom surface
here at the bottom

00:45:52.830 --> 00:45:57.153 align:middle line:84%
of one little rectangular region
is the bottom of the wafer.

00:45:57.153 --> 00:45:59.820 align:middle line:84%
And you'll notice, what you see
are all these little black dots,

00:45:59.820 --> 00:46:03.180 align:middle line:90%
are these SiO2 precipitates.

00:46:03.180 --> 00:46:05.640 align:middle line:84%
And there's a bunch of
snapshots here shown,

00:46:05.640 --> 00:46:07.225 align:middle line:90%
starting from the top.

00:46:07.225 --> 00:46:08.850 align:middle line:84%
And there are two
different directions.

00:46:08.850 --> 00:46:12.610 align:middle line:84%
If you go down vertically, we're
reading the nucleation time.

00:46:12.610 --> 00:46:14.760 align:middle line:84%
So remember, the
nucleation time is the time

00:46:14.760 --> 00:46:16.620 align:middle line:90%
that we nucleate these.

00:46:16.620 --> 00:46:18.170 align:middle line:90%
And so if you--

00:46:18.170 --> 00:46:19.920 align:middle line:84%
starting at the top
here in the upper left

00:46:19.920 --> 00:46:21.720 align:middle line:84%
and moving down
the first column,

00:46:21.720 --> 00:46:23.850 align:middle line:84%
we're increasing
the pre-anneal time.

00:46:23.850 --> 00:46:25.380 align:middle line:90%
And what you're seeing is--

00:46:25.380 --> 00:46:26.848 align:middle line:84%
what you're doing
is you're getting

00:46:26.848 --> 00:46:28.890 align:middle line:84%
a higher and higher density
of these precipitates

00:46:28.890 --> 00:46:33.390 align:middle line:84%
as I move from the upper
left down to the lower left.

00:46:33.390 --> 00:46:36.510 align:middle line:84%
And then as I move
right on this chart,

00:46:36.510 --> 00:46:39.210 align:middle line:90%
I'm increasing the growth time.

00:46:39.210 --> 00:46:41.800 align:middle line:84%
That was called the
precipitation time or the amount

00:46:41.800 --> 00:46:43.450 align:middle line:90%
of time we're growing these.

00:46:43.450 --> 00:46:46.790 align:middle line:84%
Now these are grown at
about 1,000 degrees.

00:46:46.790 --> 00:46:48.350 align:middle line:84%
And you can see
them growing here.

00:46:48.350 --> 00:46:51.050 align:middle line:84%
And so by the time I
get to this upper right,

00:46:51.050 --> 00:46:53.410 align:middle line:84%
we have a certain
density of these.

00:46:53.410 --> 00:46:57.550 align:middle line:84%
But in general, if I
move to longer nucleation

00:46:57.550 --> 00:47:01.530 align:middle line:84%
time, so down here, and
longer growth times,

00:47:01.530 --> 00:47:04.330 align:middle line:84%
so I'm moving to the right,
I get the highest density

00:47:04.330 --> 00:47:08.680 align:middle line:84%
and a reasonable size of these
precipitates in the wafer bulk.

00:47:08.680 --> 00:47:11.680 align:middle line:84%
And you can see all of them here
in the lower-- the bottom right

00:47:11.680 --> 00:47:12.947 align:middle line:90%
corner.

00:47:12.947 --> 00:47:14.030 align:middle line:90%
So these are precipitates.

00:47:14.030 --> 00:47:16.830 align:middle line:84%
And look at the very surface of
the wafer, the top 10 microns.

00:47:16.830 --> 00:47:17.690 align:middle line:90%
You don't see any.

00:47:17.690 --> 00:47:18.860 align:middle line:90%
That's the denuded zone.

00:47:18.860 --> 00:47:21.800 align:middle line:84%
And that denuded zone
was formed, of course,

00:47:21.800 --> 00:47:24.380 align:middle line:90%
at the top and bottom.

00:47:24.380 --> 00:47:27.920 align:middle line:84%
Denuded zone was created by
doing an initial 1,000 degree C

00:47:27.920 --> 00:47:30.960 align:middle line:84%
10-hour anneal before any
of this pre-annealing.

00:47:30.960 --> 00:47:33.950 align:middle line:84%
So during that
initial annealing,

00:47:33.950 --> 00:47:37.010 align:middle line:84%
the oxygen diffused out at the
top and bottom of the wafer

00:47:37.010 --> 00:47:39.560 align:middle line:90%
for about 10 microns distance.

00:47:39.560 --> 00:47:41.370 align:middle line:84%
And then it didn't
diffuse out in here.

00:47:41.370 --> 00:47:43.843 align:middle line:84%
And that's why when you go
through this processing step,

00:47:43.843 --> 00:47:45.260 align:middle line:84%
you can create
these precipitates.

00:47:45.260 --> 00:47:47.420 align:middle line:84%
And these are the
precipitates that we

00:47:47.420 --> 00:47:50.000 align:middle line:84%
want there so that metal
ions can then diffuse

00:47:50.000 --> 00:47:52.850 align:middle line:90%
from the devices and get stuck.

00:47:52.850 --> 00:47:55.260 align:middle line:84%
And then keep them
away from your devices.

00:47:55.260 --> 00:47:57.500 align:middle line:84%
So that's the pictorial
schematic of the process.

00:47:57.500 --> 00:48:01.120 align:middle line:90%


00:48:01.120 --> 00:48:07.330 align:middle line:84%
So then let's go on to slide
number 21 and now talk about way

00:48:07.330 --> 00:48:08.915 align:middle line:90%
people model this process.

00:48:08.915 --> 00:48:11.290 align:middle line:84%
And there are typically three
steps people need to model.

00:48:11.290 --> 00:48:15.350 align:middle line:84%
The first step here, shown
number one, happens to be--

00:48:15.350 --> 00:48:19.640 align:middle line:84%
I'm showing a specific case
for the gettering of gold

00:48:19.640 --> 00:48:21.473 align:middle line:84%
because gold is a very,
very common element.

00:48:21.473 --> 00:48:22.515 align:middle line:90%
It needs to be gettering.

00:48:22.515 --> 00:48:24.100 align:middle line:84%
And it has some
unique properties.

00:48:24.100 --> 00:48:26.560 align:middle line:84%
Step number 1, we need
to mobilize the atom.

00:48:26.560 --> 00:48:29.060 align:middle line:84%
So remember we talked about
gold when it was substitutional.

00:48:29.060 --> 00:48:30.470 align:middle line:90%
It diffused very slowly.

00:48:30.470 --> 00:48:32.750 align:middle line:84%
If it's interstitial,
it diffuses fast.

00:48:32.750 --> 00:48:35.540 align:middle line:84%
So to make it mobilized,
I need to somehow get it

00:48:35.540 --> 00:48:38.840 align:middle line:84%
off substitutional sites
and make it interstitial.

00:48:38.840 --> 00:48:41.180 align:middle line:84%
The second step is shown
schematically, step number

00:48:41.180 --> 00:48:43.850 align:middle line:84%
2 here, which is the gold
has to actually diffuse away

00:48:43.850 --> 00:48:47.690 align:middle line:84%
from the device region down
to the trapping site, wherever

00:48:47.690 --> 00:48:49.110 align:middle line:90%
it might be.

00:48:49.110 --> 00:48:54.790 align:middle line:84%
And the third is, of course, the
trapping mechanism, number 3.

00:48:54.790 --> 00:48:57.740 align:middle line:84%
So people have tried to model
these different aspects,

00:48:57.740 --> 00:49:00.670 align:middle line:84%
the making mobile, the
diffusion, the trapping,

00:49:00.670 --> 00:49:02.140 align:middle line:90%
with mixed success.

00:49:02.140 --> 00:49:04.570 align:middle line:84%
The models are actually
not universally accepted.

00:49:04.570 --> 00:49:08.290 align:middle line:84%
There is no really good program
you can sit there and run

00:49:08.290 --> 00:49:10.648 align:middle line:84%
that describes gettering,
and very quantitatively,

00:49:10.648 --> 00:49:12.190 align:middle line:84%
in the way that you
can for oxidation

00:49:12.190 --> 00:49:13.520 align:middle line:90%
that we'll see in this course.

00:49:13.520 --> 00:49:16.450 align:middle line:84%
But they give you a
physical mechanistic picture

00:49:16.450 --> 00:49:17.980 align:middle line:90%
of how the getting operates.

00:49:17.980 --> 00:49:21.332 align:middle line:84%
But they're not
very quantitative.

00:49:21.332 --> 00:49:22.790 align:middle line:84%
So let's look at
those three steps.

00:49:22.790 --> 00:49:25.750 align:middle line:84%
The first step was to
make the atoms mobile.

00:49:25.750 --> 00:49:27.820 align:middle line:84%
And remember, gold
and a number of atoms

00:49:27.820 --> 00:49:31.810 align:middle line:84%
can actually exist either on the
lattice or in interstitial form.

00:49:31.810 --> 00:49:33.377 align:middle line:84%
The diffusion is--
the diffusivity

00:49:33.377 --> 00:49:34.960 align:middle line:84%
is much higher when
it's interstitial.

00:49:34.960 --> 00:49:37.510 align:middle line:84%
So to make the
mobile really means

00:49:37.510 --> 00:49:40.342 align:middle line:84%
to get them off the lattice into
the interstitial spaces where

00:49:40.342 --> 00:49:41.050 align:middle line:90%
they can diffuse.

00:49:41.050 --> 00:49:43.990 align:middle line:90%


00:49:43.990 --> 00:49:48.580 align:middle line:84%
So then these-- just to
show you some examples here

00:49:48.580 --> 00:49:51.010 align:middle line:84%
of common metals and the
different types of solubilities

00:49:51.010 --> 00:49:54.520 align:middle line:84%
they have in interstitial
or substitutional form.

00:49:54.520 --> 00:49:57.640 align:middle line:84%
So copper and nickel
have higher solubilities

00:49:57.640 --> 00:49:59.110 align:middle line:90%
in interstitial form.

00:49:59.110 --> 00:50:01.030 align:middle line:84%
So they tend to exist
already interstitial.

00:50:01.030 --> 00:50:02.740 align:middle line:90%
So mobilizing them is easy.

00:50:02.740 --> 00:50:05.020 align:middle line:84%
They're already in the
interstitial space.

00:50:05.020 --> 00:50:07.450 align:middle line:84%
Gold and platinum actually
have higher solubilities

00:50:07.450 --> 00:50:09.700 align:middle line:90%
in substitutional form.

00:50:09.700 --> 00:50:11.340 align:middle line:84%
But they can
diffuse very rapidly

00:50:11.340 --> 00:50:12.840 align:middle line:90%
once they become interstitial.

00:50:12.840 --> 00:50:15.540 align:middle line:90%
So these have to be mobilized.

00:50:15.540 --> 00:50:20.070 align:middle line:84%
Titanium and moly, molybdenum,
are actually issue--

00:50:20.070 --> 00:50:20.730 align:middle line:90%
problems.

00:50:20.730 --> 00:50:23.190 align:middle line:84%
They're primarily
substitutional,

00:50:23.190 --> 00:50:26.190 align:middle line:84%
but they have relatively
slow diffusion rates,

00:50:26.190 --> 00:50:28.170 align:middle line:84%
whether they're substitutional
or interstitial.

00:50:28.170 --> 00:50:30.780 align:middle line:84%
So Ti and moly are going
to be hard to getter

00:50:30.780 --> 00:50:33.065 align:middle line:84%
because their diffusion
rates are not very large.

00:50:33.065 --> 00:50:35.190 align:middle line:84%
So to get them all the way
to the back of the wafer

00:50:35.190 --> 00:50:37.330 align:middle line:90%
is going to take a long time.

00:50:37.330 --> 00:50:38.710 align:middle line:90%
So it's just not very effective.

00:50:38.710 --> 00:50:43.170 align:middle line:84%
So to getter Ti and moly
in these intermediate or

00:50:43.170 --> 00:50:46.650 align:middle line:84%
slow-diffusing metals, we prefer
to use intrinsic gettering.

00:50:46.650 --> 00:50:49.770 align:middle line:84%
So instead of going 500 microns,
all it has to getter through

00:50:49.770 --> 00:50:50.670 align:middle line:90%
is the denuded zone.

00:50:50.670 --> 00:50:53.080 align:middle line:84%
All it has to diffuse
through is about 10 microns.

00:50:53.080 --> 00:50:55.883 align:middle line:84%
So that's another reason
why intrinsic gettering

00:50:55.883 --> 00:50:56.550 align:middle line:90%
is more popular.

00:50:56.550 --> 00:50:57.925 align:middle line:84%
You don't have to
diffuse as far.

00:50:57.925 --> 00:51:01.030 align:middle line:90%


00:51:01.030 --> 00:51:02.550 align:middle line:90%
So let's go on to slide 23.

00:51:02.550 --> 00:51:04.830 align:middle line:84%
And we'll just do
an example of how

00:51:04.830 --> 00:51:09.140 align:middle line:84%
people try to model the
gettering of gold and silicon.

00:51:09.140 --> 00:51:11.850 align:middle line:84%
Or this also
applies to platinum.

00:51:11.850 --> 00:51:16.950 align:middle line:84%
So the first thing, we said that
gold can react with a silicon

00:51:16.950 --> 00:51:17.910 align:middle line:90%
interstitial.

00:51:17.910 --> 00:51:22.350 align:middle line:84%
And this Si sub i is meant to
represent a silicon interstitial

00:51:22.350 --> 00:51:24.990 align:middle line:90%
and form an interstitial gold.

00:51:24.990 --> 00:51:27.240 align:middle line:84%
So an interstitial silicon
atom can come along,

00:51:27.240 --> 00:51:29.280 align:middle line:84%
take the gold which is
on the silicon lattice,

00:51:29.280 --> 00:51:31.240 align:middle line:84%
and knock it off,
and take its place.

00:51:31.240 --> 00:51:33.250 align:middle line:84%
And that's called the
kickout mechanism.

00:51:33.250 --> 00:51:36.390 align:middle line:84%
So that's one way of getting
the gold off of lattice site

00:51:36.390 --> 00:51:38.340 align:middle line:84%
because there are
other mechanisms.

00:51:38.340 --> 00:51:41.610 align:middle line:84%
An interstitial can
react with a vacancy

00:51:41.610 --> 00:51:44.250 align:middle line:90%
and form substitutional gold.

00:51:44.250 --> 00:51:47.520 align:middle line:84%
So basically, the idea, if you
look at this first reaction,

00:51:47.520 --> 00:51:50.100 align:middle line:84%
this first equation,
any process that

00:51:50.100 --> 00:51:53.542 align:middle line:84%
creates excess interstitials
should be helpful in gettering.

00:51:53.542 --> 00:51:55.500 align:middle line:84%
If I have a lot of excess
silicon interstitials

00:51:55.500 --> 00:51:57.503 align:middle line:84%
around whenever
there's a gold, it

00:51:57.503 --> 00:51:59.670 align:middle line:84%
can just knock it off the
lattice and get it moving.

00:51:59.670 --> 00:52:02.180 align:middle line:90%


00:52:02.180 --> 00:52:04.652 align:middle line:84%
So process that--
any process that

00:52:04.652 --> 00:52:06.110 align:middle line:84%
creates excess
interstitials should

00:52:06.110 --> 00:52:10.856 align:middle line:84%
be helpful in this gettering,
this mobilization process.

00:52:10.856 --> 00:52:13.898 align:middle line:84%
Processes that create excess
vacancies will tend to hinder

00:52:13.898 --> 00:52:16.190 align:middle line:84%
gettering because they're--
if you have a lot of excess

00:52:16.190 --> 00:52:18.660 align:middle line:84%
vacancies, it's going to
drive this back to the left,

00:52:18.660 --> 00:52:21.320 align:middle line:84%
the second reaction, and
cause gold to go back

00:52:21.320 --> 00:52:23.110 align:middle line:90%
to substitutional.

00:52:23.110 --> 00:52:27.550 align:middle line:84%
So interestingly, just from
an empirical point of view,

00:52:27.550 --> 00:52:29.440 align:middle line:84%
a lot of the things
people do for gettering

00:52:29.440 --> 00:52:33.370 align:middle line:84%
happen to also be known to
create excess interstitials.

00:52:33.370 --> 00:52:36.110 align:middle line:84%
So for example, backside
phosphorus diffusion,

00:52:36.110 --> 00:52:38.280 align:middle line:84%
when we talk about
phosphorus diffusion,

00:52:38.280 --> 00:52:41.650 align:middle line:84%
we'll see how it tends to inject
a lot of excess interstitials.

00:52:41.650 --> 00:52:45.820 align:middle line:84%
Ion implantation, in which we
shoot ions into the crystal,

00:52:45.820 --> 00:52:48.160 align:middle line:84%
tend to knock silicon
off lattice sites

00:52:48.160 --> 00:52:50.500 align:middle line:84%
and create a lot
of interstitials.

00:52:50.500 --> 00:52:52.840 align:middle line:84%
And internal gathering
or intrinsic gettering

00:52:52.840 --> 00:52:56.050 align:middle line:84%
involves oxidizing silicon,
which we will find out.

00:52:56.050 --> 00:52:59.980 align:middle line:84%
Creating SiO2 precipitates
tends to punch out

00:52:59.980 --> 00:53:02.410 align:middle line:84%
a lot of excess
silicon interstitials.

00:53:02.410 --> 00:53:07.720 align:middle line:84%
So qualitatively can we say that
the things that we know work

00:53:07.720 --> 00:53:10.570 align:middle line:84%
for gettering also tend to
create a lot of interstitials.

00:53:10.570 --> 00:53:12.880 align:middle line:84%
And that would be consistent
with this type of model,

00:53:12.880 --> 00:53:16.090 align:middle line:84%
the fact that some of the metals
need to be able to be mobilized.

00:53:16.090 --> 00:53:18.620 align:middle line:90%


00:53:18.620 --> 00:53:20.330 align:middle line:90%
So then go on to slide 24.

00:53:20.330 --> 00:53:22.280 align:middle line:84%
And the second step
is, once its mobile,

00:53:22.280 --> 00:53:26.260 align:middle line:84%
is to get the metal to
diffuse to the gettered site

00:53:26.260 --> 00:53:28.160 align:middle line:90%
in this interstitial form.

00:53:28.160 --> 00:53:30.310 align:middle line:84%
And so it has to
diffuse to the back side

00:53:30.310 --> 00:53:33.550 align:middle line:90%
or into the intrinsic region.

00:53:33.550 --> 00:53:37.340 align:middle line:84%
Let's say we're doing
diffusion to the back side.

00:53:37.340 --> 00:53:42.730 align:middle line:84%
This plot on slide number 24
is a plot of the concentration

00:53:42.730 --> 00:53:44.320 align:middle line:90%
of that gold.

00:53:44.320 --> 00:53:50.350 align:middle line:84%
It has a function of depth
in the wafer, where the 0,0

00:53:50.350 --> 00:53:52.900 align:middle line:84%
point, or this point right
here, is supposed to represent

00:53:52.900 --> 00:53:54.850 align:middle line:90%
the wafer backside.

00:53:54.850 --> 00:53:56.350 align:middle line:84%
So that's the
backside of the wafer.

00:53:56.350 --> 00:53:59.168 align:middle line:84%
As you move to the right, you're
going through the thickness

00:53:59.168 --> 00:53:59.710 align:middle line:90%
of the wafer.

00:53:59.710 --> 00:54:01.510 align:middle line:84%
So you're going into
the center of the wafer.

00:54:01.510 --> 00:54:03.010 align:middle line:84%
And I move all the
way to the window,

00:54:03.010 --> 00:54:04.593 align:middle line:84%
I'd be at the front
side of the wafer.

00:54:04.593 --> 00:54:07.590 align:middle line:84%
So imagine the wafer is
standing up sideways.

00:54:07.590 --> 00:54:10.520 align:middle line:84%
And this is a plot
of different time

00:54:10.520 --> 00:54:14.000 align:middle line:84%
contours of what the gold
concentration would look like.

00:54:14.000 --> 00:54:17.260 align:middle line:84%
Initially, at time t
equals 0, it's a flat line.

00:54:17.260 --> 00:54:18.960 align:middle line:90%
It's just at 10 to the 15.

00:54:18.960 --> 00:54:20.750 align:middle line:84%
So let's say,
somehow, the wafer got

00:54:20.750 --> 00:54:23.570 align:middle line:84%
10 to the 15th per cubic
atoms of gold in it

00:54:23.570 --> 00:54:25.110 align:middle line:90%
uniformly distributed.

00:54:25.110 --> 00:54:27.630 align:middle line:84%
Now you heat it up and you
increase the amount of time.

00:54:27.630 --> 00:54:32.660 align:middle line:84%
And as I heat it,
basically, the gold

00:54:32.660 --> 00:54:34.310 align:middle line:90%
is diffusing out of the wafer.

00:54:34.310 --> 00:54:35.870 align:middle line:84%
It's lowering here
in the center.

00:54:35.870 --> 00:54:37.830 align:middle line:84%
And at the edge,
it's diffusing down.

00:54:37.830 --> 00:54:40.160 align:middle line:84%
So this is what we
expect the gold profiles

00:54:40.160 --> 00:54:45.490 align:middle line:84%
to look like over time,
just in a rough sense.

00:54:45.490 --> 00:54:48.460 align:middle line:84%
If we go on to slide
25, actually, there

00:54:48.460 --> 00:54:49.930 align:middle line:90%
are some plots which--

00:54:49.930 --> 00:54:52.870 align:middle line:84%
there's a plot which shows,
as a function of time,

00:54:52.870 --> 00:54:55.780 align:middle line:84%
at 1,000 degrees, what happens
to the gold concentration

00:54:55.780 --> 00:54:58.570 align:middle line:84%
profiles, actually,
experimentally.

00:54:58.570 --> 00:55:01.120 align:middle line:84%
And this represents
the observed profiles.

00:55:01.120 --> 00:55:03.790 align:middle line:84%
They're actually not quite like
what was shown in slide 24.

00:55:03.790 --> 00:55:06.620 align:middle line:84%
If I go back here, you see this
is a much more-- in slide 24,

00:55:06.620 --> 00:55:09.580 align:middle line:84%
it's a much more gradual
drop off on this plot.

00:55:09.580 --> 00:55:12.310 align:middle line:84%
In slide 25, in fact,
it's very abrupt.

00:55:12.310 --> 00:55:18.010 align:middle line:84%
It's very sudden than
predicted by this simple model.

00:55:18.010 --> 00:55:21.100 align:middle line:84%
Well, it turns out that people
explain the sudden drop off

00:55:21.100 --> 00:55:24.910 align:middle line:84%
by the fact that the silicon
interstitial diffusion is fast.

00:55:24.910 --> 00:55:28.260 align:middle line:84%
But it's actually slower than
the metal atom diffusion.

00:55:28.260 --> 00:55:30.380 align:middle line:84%
So the rate-limiting
process in this step

00:55:30.380 --> 00:55:32.450 align:middle line:84%
is for the silicon
interstitials to diffuse in

00:55:32.450 --> 00:55:37.250 align:middle line:84%
the back or inside into the
wafer and mobilize the gold.

00:55:37.250 --> 00:55:39.050 align:middle line:84%
So as soon as the
silicon interstitials

00:55:39.050 --> 00:55:41.053 align:middle line:84%
arrive at a particular
location, the gold

00:55:41.053 --> 00:55:42.470 align:middle line:84%
is converted to
interstitial form.

00:55:42.470 --> 00:55:43.880 align:middle line:90%
And then it's got--

00:55:43.880 --> 00:55:48.050 align:middle line:84%
it's diffusing so fast, it can
rapidly diffuse out the wafer.

00:55:48.050 --> 00:55:51.920 align:middle line:84%
So what's rate limiting here is
the indiffusion of the silicon

00:55:51.920 --> 00:55:53.090 align:middle line:90%
interstitials.

00:55:53.090 --> 00:55:56.660 align:middle line:84%
So this sharp drop off point
here, you see at 12 seconds--

00:55:56.660 --> 00:56:00.500 align:middle line:84%
12 minutes, it's dropping off
here, 20, in 25, 30 minutes.

00:56:00.500 --> 00:56:03.530 align:middle line:84%
That sharp drop point
corresponds to the depth people

00:56:03.530 --> 00:56:05.900 align:middle line:84%
believe which the silicon
interstitials must

00:56:05.900 --> 00:56:07.440 align:middle line:90%
have diffused in a given time.

00:56:07.440 --> 00:56:09.860 align:middle line:84%
In fact, in the old
days, people used this

00:56:09.860 --> 00:56:13.640 align:middle line:84%
as a marker for how to measure
or estimate silicon interstitial

00:56:13.640 --> 00:56:14.510 align:middle line:90%
diffusion.

00:56:14.510 --> 00:56:16.310 align:middle line:84%
They couldn't see
the interstitials,

00:56:16.310 --> 00:56:19.250 align:middle line:84%
but they hypothesized they were
having this effect on the gold.

00:56:19.250 --> 00:56:22.580 align:middle line:84%
So they would model the gold
diffusion and the silicon

00:56:22.580 --> 00:56:25.440 align:middle line:84%
interstitial in diffusion
that's associated with that.

00:56:25.440 --> 00:56:30.870 align:middle line:84%
And so that was one method of
estimating silicon in diffusion

00:56:30.870 --> 00:56:34.297 align:middle line:84%
So anyway, that's just a
practical issue with the way

00:56:34.297 --> 00:56:35.505 align:middle line:90%
gold diffuses through wafers.

00:56:35.505 --> 00:56:39.140 align:middle line:90%


00:56:39.140 --> 00:56:41.960 align:middle line:84%
And in fact, on slide
26, this is just

00:56:41.960 --> 00:56:44.360 align:middle line:84%
to remind you of
how the relationship

00:56:44.360 --> 00:56:47.750 align:middle line:84%
or the relative magnitude
of the gold diffusion,

00:56:47.750 --> 00:56:49.790 align:middle line:84%
look at the gold
interstitial diffusivity

00:56:49.790 --> 00:56:51.800 align:middle line:84%
up here, compared
to the silicon--

00:56:51.800 --> 00:56:56.220 align:middle line:84%
the diffusion of silicon
self-interstitials.

00:56:56.220 --> 00:57:00.420 align:middle line:84%
If you have an element like
titanium, which diffuses slower

00:57:00.420 --> 00:57:02.220 align:middle line:84%
than silicon
interstitials, it's going

00:57:02.220 --> 00:57:04.140 align:middle line:84%
to have a more classical
type of profile,

00:57:04.140 --> 00:57:07.530 align:middle line:84%
as shown here on
the lower right,

00:57:07.530 --> 00:57:10.200 align:middle line:84%
for its diffusion
profile of titanium

00:57:10.200 --> 00:57:13.740 align:middle line:84%
outdiffusing or diffusing
to the back of the wafer.

00:57:13.740 --> 00:57:16.758 align:middle line:90%


00:57:16.758 --> 00:57:17.800 align:middle line:90%
So we've made the mobile.

00:57:17.800 --> 00:57:19.220 align:middle line:84%
We got them diffused
to the site.

00:57:19.220 --> 00:57:20.290 align:middle line:90%
The final thing is trap them.

00:57:20.290 --> 00:57:21.820 align:middle line:84%
It doesn't do any good to
make them diffuse there

00:57:21.820 --> 00:57:23.695 align:middle line:84%
and then have them come
right back out again.

00:57:23.695 --> 00:57:26.320 align:middle line:90%
So they have to be trapped.

00:57:26.320 --> 00:57:28.750 align:middle line:84%
And this tends to be
very, very empirical.

00:57:28.750 --> 00:57:30.400 align:middle line:84%
But people have
experimentally observed

00:57:30.400 --> 00:57:33.310 align:middle line:84%
that certain types of backside
damage trap metal atoms.

00:57:33.310 --> 00:57:36.100 align:middle line:84%
If you measure the concentration
in that backside region

00:57:36.100 --> 00:57:38.350 align:middle line:84%
after you've damaged it, it
has a higher concentration

00:57:38.350 --> 00:57:40.840 align:middle line:90%
of metals in it.

00:57:40.840 --> 00:57:42.310 align:middle line:90%
It's hard to model this.

00:57:42.310 --> 00:57:44.650 align:middle line:84%
But one approach is
to model it using

00:57:44.650 --> 00:57:50.740 align:middle line:84%
the mathematics of segregation
and to talk about the gold

00:57:50.740 --> 00:57:52.330 align:middle line:84%
as it exists in the
bulk and the gold

00:57:52.330 --> 00:57:54.455 align:middle line:84%
as it exists in the trap
site and compare those two

00:57:54.455 --> 00:57:56.830 align:middle line:90%
concentrations.

00:57:56.830 --> 00:57:59.770 align:middle line:84%
Remember, in chapter 3, we
talked about segregation,

00:57:59.770 --> 00:58:02.890 align:middle line:84%
described the doping
behavior as it segregated

00:58:02.890 --> 00:58:05.620 align:middle line:84%
between a liquid phase
and the solid phase

00:58:05.620 --> 00:58:07.280 align:middle line:90%
during Czochralski growth.

00:58:07.280 --> 00:58:10.720 align:middle line:84%
Well, the same concept
here really applies here.

00:58:10.720 --> 00:58:12.910 align:middle line:84%
We have the segregation
of these gold

00:58:12.910 --> 00:58:14.590 align:middle line:84%
or this metal atom
between the silicon

00:58:14.590 --> 00:58:17.870 align:middle line:84%
bulk and the trapped region,
or the backside trapped region.

00:58:17.870 --> 00:58:22.780 align:middle line:84%
So we can use
similar mathematics.

00:58:22.780 --> 00:58:24.280 align:middle line:84%
And that's what's
shown on slide 28.

00:58:24.280 --> 00:58:28.180 align:middle line:84%
This is a relatively simple
way of looking at a segregation

00:58:28.180 --> 00:58:31.690 align:middle line:84%
model for metal atom
trapping during gettering.

00:58:31.690 --> 00:58:34.210 align:middle line:84%
And what we do is we
write down the solubility

00:58:34.210 --> 00:58:35.620 align:middle line:90%
of gold in two states.

00:58:35.620 --> 00:58:37.900 align:middle line:84%
On the upper equation
is the solubility

00:58:37.900 --> 00:58:40.310 align:middle line:90%
of gold in bulk silicon.

00:58:40.310 --> 00:58:42.100 align:middle line:84%
So this is not in
the gettered region,

00:58:42.100 --> 00:58:43.810 align:middle line:90%
just existing in the silicon.

00:58:43.810 --> 00:58:46.660 align:middle line:84%
And it has some exponential
dependence on an activation

00:58:46.660 --> 00:58:50.320 align:middle line:90%
energy, Ea1 over kT.

00:58:50.320 --> 00:58:53.530 align:middle line:84%
And the second equation
down is the solubility

00:58:53.530 --> 00:58:59.230 align:middle line:84%
of gold in the gettered site,
G. So it's got this G next to it

00:58:59.230 --> 00:59:00.280 align:middle line:90%
in the gettered region.

00:59:00.280 --> 00:59:04.540 align:middle line:84%
And here Ng, N sub g, is the
density of gathering sites.

00:59:04.540 --> 00:59:08.725 align:middle line:84%
N sub silicon here is the
density of silicon atomic sites.

00:59:08.725 --> 00:59:11.420 align:middle line:90%


00:59:11.420 --> 00:59:14.140 align:middle line:84%
And what we define as the
segregation coefficient,

00:59:14.140 --> 00:59:16.360 align:middle line:84%
just as we did before in
liquid solid segregation,

00:59:16.360 --> 00:59:23.200 align:middle line:84%
K0, as to be the ratio of the
concentration of the total gold

00:59:23.200 --> 00:59:27.050 align:middle line:84%
in the wafer divided by that
in-- that's in the silicon.

00:59:27.050 --> 00:59:29.680 align:middle line:84%
So that's our
segregation coefficient.

00:59:29.680 --> 00:59:31.870 align:middle line:90%
And we can just simply ratio--

00:59:31.870 --> 00:59:34.300 align:middle line:84%
plug-in these exponentials
and ratio them, as

00:59:34.300 --> 00:59:36.900 align:middle line:90%
shown in the equation.

00:59:36.900 --> 00:59:41.900 align:middle line:84%
So if Ea1, the activation
energy a1, minus Ea2

00:59:41.900 --> 00:59:44.180 align:middle line:84%
is a positive
quantity, then K0 is

00:59:44.180 --> 00:59:46.500 align:middle line:84%
going to decrease as
temperature increases.

00:59:46.500 --> 00:59:51.400 align:middle line:84%
So this tells us something about
where the metal wants to reside.

00:59:51.400 --> 00:59:55.900 align:middle line:84%
In fact, empirically for
phosphorus backside gettering,

00:59:55.900 --> 00:59:58.210 align:middle line:84%
it's been found that the
segregation coefficient can

00:59:58.210 --> 01:00:01.690 align:middle line:84%
be written like this, a
simple equation, where it has

01:00:01.690 --> 01:00:03.890 align:middle line:90%
a positive activation energy.

01:00:03.890 --> 01:00:06.640 align:middle line:84%
So what this says is we need to
increase the number of gettering

01:00:06.640 --> 01:00:08.860 align:middle line:84%
sites, Ng, which,
of course, just

01:00:08.860 --> 01:00:10.510 align:middle line:84%
means keep the
amount of phosphorus

01:00:10.510 --> 01:00:12.130 align:middle line:90%
in the backside region high.

01:00:12.130 --> 01:00:15.493 align:middle line:84%
And we keep the temperature
low, trap it there

01:00:15.493 --> 01:00:16.910 align:middle line:84%
with a relatively
low temperature.

01:00:16.910 --> 01:00:19.270 align:middle line:84%
So we don't want to go too
high to get the highest

01:00:19.270 --> 01:00:20.780 align:middle line:90%
amount of segregation.

01:00:20.780 --> 01:00:22.420 align:middle line:84%
So again, it's
fairly qualitative.

01:00:22.420 --> 01:00:24.700 align:middle line:84%
But it gives some
estimate of what--

01:00:24.700 --> 01:00:28.690 align:middle line:84%
of how gettering works as
a function of temperature

01:00:28.690 --> 01:00:31.210 align:middle line:90%
trapping.

01:00:31.210 --> 01:00:34.310 align:middle line:90%
That's one example of a model.

01:00:34.310 --> 01:00:36.640 align:middle line:84%
The second example
is shown on page 29.

01:00:36.640 --> 01:00:40.450 align:middle line:84%
And this actually
goes back to work

01:00:40.450 --> 01:00:45.480 align:middle line:84%
that Shockley and Mole did very
long time ago back in the 1960s.

01:00:45.480 --> 01:00:50.262 align:middle line:84%
And this work was to understand
the enhanced solubility

01:00:50.262 --> 01:00:51.720 align:middle line:84%
of metals in
heavily-doped silicon.

01:00:51.720 --> 01:00:55.500 align:middle line:84%
It was observed that certain
metals are more soluble.

01:00:55.500 --> 01:00:57.690 align:middle line:84%
They tend to want to be
in heavily-doped silicon.

01:00:57.690 --> 01:01:00.092 align:middle line:84%
They have a higher concentration
in heavily-doped silicon

01:01:00.092 --> 01:01:01.800 align:middle line:84%
than they would in
lightly-doped silicon.

01:01:01.800 --> 01:01:04.410 align:middle line:90%


01:01:04.410 --> 01:01:07.380 align:middle line:84%
And this is a model that
helps to explain that.

01:01:07.380 --> 01:01:10.410 align:middle line:84%
So in substitutional
form, we know

01:01:10.410 --> 01:01:13.850 align:middle line:84%
that gold introduces deep
levels in the bandgap

01:01:13.850 --> 01:01:15.100 align:middle line:90%
and near the mid-gap position.

01:01:15.100 --> 01:01:17.520 align:middle line:84%
In fact, there's one here, an
acceptor level marked here.

01:01:17.520 --> 01:01:20.175 align:middle line:84%
And there's one here, a
donor level, marked there.

01:01:20.175 --> 01:01:23.240 align:middle line:90%


01:01:23.240 --> 01:01:26.950 align:middle line:84%
So this Au minus
level is going to be

01:01:26.950 --> 01:01:30.500 align:middle line:84%
created whenever the gold
can capture a free electron.

01:01:30.500 --> 01:01:32.620 align:middle line:84%
So if there's a lot
of free electrons,

01:01:32.620 --> 01:01:37.430 align:middle line:84%
we can create this Au minus
state, so this acceptor level.

01:01:37.430 --> 01:01:40.360 align:middle line:84%
So I can just write down this
simple chemical equation, gold,

01:01:40.360 --> 01:01:45.245 align:middle line:84%
one gold atom, plus an electron
goes to an Au minus ion.

01:01:45.245 --> 01:01:46.870 align:middle line:84%
Now, if you're familiar
with chemistry,

01:01:46.870 --> 01:01:48.520 align:middle line:84%
you know you can
write any reaction.

01:01:48.520 --> 01:01:50.830 align:middle line:84%
You can write an
equilibrium constant

01:01:50.830 --> 01:01:52.750 align:middle line:84%
associated with that
reaction rate that

01:01:52.750 --> 01:01:55.770 align:middle line:90%
depends only on temperature.

01:01:55.770 --> 01:01:58.260 align:middle line:84%
So we write this number,
K sub equilibrium.

01:01:58.260 --> 01:02:02.000 align:middle line:90%
It depends only on temperature.

01:02:02.000 --> 01:02:05.900 align:middle line:84%
It says that the reactants,
the concentration of reactants,

01:02:05.900 --> 01:02:10.040 align:middle line:84%
Au minus, divided by the
concentration of the product

01:02:10.040 --> 01:02:12.470 align:middle line:90%
of the concentration of the--

01:02:12.470 --> 01:02:15.080 align:middle line:84%
or this is the
products divided by--

01:02:15.080 --> 01:02:17.960 align:middle line:84%
I multiply the concentration
of the reactants.

01:02:17.960 --> 01:02:20.145 align:middle line:90%
That has to be a constant.

01:02:20.145 --> 01:02:22.520 align:middle line:84%
So the right-hand side of the
equation, the concentration

01:02:22.520 --> 01:02:26.610 align:middle line:84%
of Au minus divided by the gold
concentration times the electron

01:02:26.610 --> 01:02:28.110 align:middle line:84%
concentration, has
to be a constant.

01:02:28.110 --> 01:02:30.540 align:middle line:90%
It depends only on temperature.

01:02:30.540 --> 01:02:35.150 align:middle line:84%
So that's an important
equilibrium relationship.

01:02:35.150 --> 01:02:37.220 align:middle line:84%
If we go on to slide
number 30, here

01:02:37.220 --> 01:02:39.490 align:middle line:84%
just at the upper
left-hand side,

01:02:39.490 --> 01:02:42.090 align:middle line:90%
just repeated that equation.

01:02:42.090 --> 01:02:47.260 align:middle line:84%
This equation has to hold both
when we have intrinsic silicon--

01:02:47.260 --> 01:02:49.450 align:middle line:84%
an intrinsic silicon, the
electron concentration

01:02:49.450 --> 01:02:50.470 align:middle line:90%
is just ni--

01:02:50.470 --> 01:02:52.720 align:middle line:90%
or when it's extrinsic.

01:02:52.720 --> 01:02:54.640 align:middle line:84%
In extrinsic, the
electron concentration

01:02:54.640 --> 01:03:00.740 align:middle line:84%
is just n, whatever you've doped
it to, the donor density level.

01:03:00.740 --> 01:03:03.010 align:middle line:84%
So if that's the case, I
can write this equation

01:03:03.010 --> 01:03:05.530 align:middle line:90%
for those two cases.

01:03:05.530 --> 01:03:06.880 align:middle line:90%
And it has to hold.

01:03:06.880 --> 01:03:11.770 align:middle line:84%
So basically, I can write
down, as it turns out,

01:03:11.770 --> 01:03:17.740 align:middle line:84%
that the ratio of
the gold, Au minus,

01:03:17.740 --> 01:03:21.130 align:middle line:84%
in N-type material
to its concentration

01:03:21.130 --> 01:03:25.370 align:middle line:84%
in intrinsic material just
has to go like n over ni.

01:03:25.370 --> 01:03:28.640 align:middle line:84%
So then what that means
is the solubility of gold

01:03:28.640 --> 01:03:31.860 align:middle line:84%
as an acceptor is going to
be higher in N-type material.

01:03:31.860 --> 01:03:34.850 align:middle line:84%
So as I raise n over
ni, let's say I dope--

01:03:34.850 --> 01:03:36.320 align:middle line:90%
I'm at 1,000 degrees.

01:03:36.320 --> 01:03:38.210 align:middle line:90%
ni is 7 times 10 to the 18th.

01:03:38.210 --> 01:03:42.100 align:middle line:84%
And I create a heavily
doped region, 10 to the 21.

01:03:42.100 --> 01:03:47.470 align:middle line:84%
Then just looking at n over ni
is a factor of 100, roughly.

01:03:47.470 --> 01:03:49.240 align:middle line:84%
So that means the
gold solubility

01:03:49.240 --> 01:03:52.450 align:middle line:84%
is going to be 100 times
higher in this heavily doped

01:03:52.450 --> 01:03:55.960 align:middle line:84%
10 to the 21 region compared
to the intrinsic region

01:03:55.960 --> 01:03:57.700 align:middle line:90%
of the wafer.

01:03:57.700 --> 01:04:01.870 align:middle line:84%
So again, this is looking at it
from the electrochemical point

01:04:01.870 --> 01:04:02.470 align:middle line:90%
of view.

01:04:02.470 --> 01:04:04.090 align:middle line:84%
And it's a little
bit hand-wavey.

01:04:04.090 --> 01:04:05.650 align:middle line:84%
But it's consistent
with the fact

01:04:05.650 --> 01:04:08.440 align:middle line:84%
that when people do heavy
n plus diffusion regions

01:04:08.440 --> 01:04:10.360 align:middle line:84%
on the back of the
wafer, like phosphorus,

01:04:10.360 --> 01:04:12.820 align:middle line:84%
they can very
effectively hold metals

01:04:12.820 --> 01:04:15.820 align:middle line:84%
because it has a higher
solubility, just because

01:04:15.820 --> 01:04:18.505 align:middle line:84%
of the electrochemistry
involved.

01:04:18.505 --> 01:04:21.400 align:middle line:90%


01:04:21.400 --> 01:04:25.570 align:middle line:84%
So on slide 21,
it's qualitatively

01:04:25.570 --> 01:04:27.610 align:middle line:84%
listed as a series
of explanations

01:04:27.610 --> 01:04:30.040 align:middle line:84%
of why n plus silicon
is a good getter.

01:04:30.040 --> 01:04:32.530 align:middle line:90%
It's a good trap, trapping area.

01:04:32.530 --> 01:04:35.050 align:middle line:84%
We just saw the statistics of
the acceptor and donor levels

01:04:35.050 --> 01:04:37.120 align:middle line:84%
versus doping from Shockley's
paper that showed--

01:04:37.120 --> 01:04:39.760 align:middle line:90%
that is consistent with that.

01:04:39.760 --> 01:04:41.650 align:middle line:84%
There's also people
that have an ion pairing

01:04:41.650 --> 01:04:45.260 align:middle line:84%
model, that a large atom like
gold, well, gold is very large,

01:04:45.260 --> 01:04:47.650 align:middle line:84%
it might want to pair with
a small atom like phosphorus

01:04:47.650 --> 01:04:50.890 align:middle line:84%
and form some kind
of AuP complex

01:04:50.890 --> 01:04:54.550 align:middle line:90%
because this minimizes strain.

01:04:54.550 --> 01:04:57.530 align:middle line:84%
The other issue is that
point defect concentrations

01:04:57.530 --> 01:04:59.530 align:middle line:84%
are much higher in doped
silicon than intrinsic.

01:04:59.530 --> 01:05:01.030 align:middle line:84%
Remember, last time
we talked about,

01:05:01.030 --> 01:05:02.740 align:middle line:84%
as I move the
Fermi level around,

01:05:02.740 --> 01:05:07.730 align:middle line:84%
I can create more
interstitials or vacancies.

01:05:07.730 --> 01:05:10.730 align:middle line:84%
Gold diffuses primarily by
an interstitial mechanism.

01:05:10.730 --> 01:05:12.380 align:middle line:84%
Once it arrives in
the getter region,

01:05:12.380 --> 01:05:15.350 align:middle line:84%
it needs to find a lattice
site to become substitutional.

01:05:15.350 --> 01:05:18.290 align:middle line:84%
So you can imagine an
interstitial gold might react

01:05:18.290 --> 01:05:20.088 align:middle line:90%
with a vacancy in the lattice.

01:05:20.088 --> 01:05:22.130 align:middle line:84%
And it gets stuck there
to make it substitutional

01:05:22.130 --> 01:05:24.047 align:middle line:84%
because, remember,
substitutional gold doesn't

01:05:24.047 --> 01:05:25.440 align:middle line:90%
diffuse very fast.

01:05:25.440 --> 01:05:27.860 align:middle line:84%
So in n plus silicon,
we saw last time,

01:05:27.860 --> 01:05:30.140 align:middle line:84%
it has a much higher
population of vacancies

01:05:30.140 --> 01:05:31.268 align:middle line:90%
than in intrinsic silicon.

01:05:31.268 --> 01:05:33.560 align:middle line:84%
And so that's going to tend
to drive this to the right.

01:05:33.560 --> 01:05:35.840 align:middle line:84%
So once the gold
gets-- it diffuses

01:05:35.840 --> 01:05:38.030 align:middle line:84%
by interstitial mechanism,
it gets to the back side

01:05:38.030 --> 01:05:40.310 align:middle line:84%
to the n plus, there's
plenty of vacancies

01:05:40.310 --> 01:05:43.960 align:middle line:84%
around to give it a lattice
site to get stuck onto.

01:05:43.960 --> 01:05:46.570 align:middle line:84%
So that's another, again,
somewhat qualitative

01:05:46.570 --> 01:05:49.600 align:middle line:90%
explanation.

01:05:49.600 --> 01:05:51.810 align:middle line:84%
So that's for backside
gettering with an n

01:05:51.810 --> 01:05:55.980 align:middle line:84%
plus region, such as phosphorus,
which was the classic method.

01:05:55.980 --> 01:05:58.940 align:middle line:90%
How about intrinsic gettering?

01:05:58.940 --> 01:06:00.860 align:middle line:84%
What kind of models
do people have

01:06:00.860 --> 01:06:05.720 align:middle line:84%
for gettering atoms or-- metal
atoms near SiO2 precipitates?

01:06:05.720 --> 01:06:10.100 align:middle line:84%
Well, actually, this tends
to be a lot more qualitative.

01:06:10.100 --> 01:06:14.740 align:middle line:84%
But if you go back to
chapter 3, chapter 3

01:06:14.740 --> 01:06:19.070 align:middle line:84%
talks about how SiO2
precipitation takes place.

01:06:19.070 --> 01:06:21.620 align:middle line:84%
And in fact, it involves
a net-- volume expansion.

01:06:21.620 --> 01:06:23.530 align:middle line:90%
The SiO2, when you add--

01:06:23.530 --> 01:06:27.910 align:middle line:84%
when you form it, it tends to
increase the lattice locally,

01:06:27.910 --> 01:06:30.190 align:middle line:90%
wherever that is.

01:06:30.190 --> 01:06:32.710 align:middle line:84%
And it actually compresses
the lattice around it.

01:06:32.710 --> 01:06:35.680 align:middle line:84%
So people have written this--
it looks fairly complex.

01:06:35.680 --> 01:06:37.540 align:middle line:90%
But each term has a meaning.

01:06:37.540 --> 01:06:41.380 align:middle line:84%
This equation, which describes
the formation internally

01:06:41.380 --> 01:06:45.160 align:middle line:84%
of silicon reacting with
oxygen interstitials.

01:06:45.160 --> 01:06:47.475 align:middle line:84%
So here's a silicon
lattice site here.

01:06:47.475 --> 01:06:48.850 align:middle line:84%
A certain number
of lattice sites

01:06:48.850 --> 01:06:53.770 align:middle line:84%
are involved, reacting with
oxygen interstitial, O sub i,

01:06:53.770 --> 01:06:55.870 align:middle line:90%
and forming SiO2.

01:06:55.870 --> 01:06:57.110 align:middle line:90%
It could be at the surface.

01:06:57.110 --> 01:06:58.090 align:middle line:90%
It could be internally.

01:06:58.090 --> 01:07:02.230 align:middle line:84%
But you're forming a
small SiO2 region, along

01:07:02.230 --> 01:07:05.938 align:middle line:84%
with some stress
that gets involved.

01:07:05.938 --> 01:07:07.480 align:middle line:84%
Look at this fairly
complex equation.

01:07:07.480 --> 01:07:10.780 align:middle line:84%
But some of the elements
of it are identified.

01:07:10.780 --> 01:07:12.980 align:middle line:84%
Gamma here is the
number of interstitials

01:07:12.980 --> 01:07:16.400 align:middle line:84%
that contribute to the
precipitation process per oxygen

01:07:16.400 --> 01:07:21.030 align:middle line:84%
atom that join into
the SiO2 precipitate.

01:07:21.030 --> 01:07:24.557 align:middle line:90%
So a certain number of silicon--

01:07:24.557 --> 01:07:25.640 align:middle line:90%
silicon is a lattice site.

01:07:25.640 --> 01:07:28.010 align:middle line:84%
A certain number of
silicon lattice sites

01:07:28.010 --> 01:07:30.530 align:middle line:90%
participate in this reaction.

01:07:30.530 --> 01:07:33.350 align:middle line:84%
Interestingly, look
at the process.

01:07:33.350 --> 01:07:35.070 align:middle line:90%
It consumes vacancies.

01:07:35.070 --> 01:07:39.140 align:middle line:84%
So vacancies on the left
have to be consumed.

01:07:39.140 --> 01:07:41.150 align:middle line:84%
And it injects on the
right interstitials.

01:07:41.150 --> 01:07:43.288 align:middle line:84%
So the formation
of SiO2, and we're

01:07:43.288 --> 01:07:45.080 align:middle line:84%
going to see this in
a lot more detail when

01:07:45.080 --> 01:07:49.070 align:middle line:84%
we talk about oxidation,
planar oxidation,

01:07:49.070 --> 01:07:52.382 align:middle line:84%
involves the injection of
excess interstitials, which

01:07:52.382 --> 01:07:54.590 align:middle line:84%
is interesting because excess
interstitials, we know,

01:07:54.590 --> 01:07:57.840 align:middle line:84%
are important for mobilizing
certain metal atoms.

01:07:57.840 --> 01:08:03.840 align:middle line:84%
So that could be one reason why
SiO2 precipitation is important.

01:08:03.840 --> 01:08:07.173 align:middle line:84%
We know that the stress term is
generated because it compresses

01:08:07.173 --> 01:08:08.090 align:middle line:90%
the crystal around it.

01:08:08.090 --> 01:08:10.490 align:middle line:84%
This can cause
macroscopic defects.

01:08:10.490 --> 01:08:13.010 align:middle line:84%
And the metal atoms
tend to be located

01:08:13.010 --> 01:08:17.120 align:middle line:84%
around these stacking
faults or dislocations.

01:08:17.120 --> 01:08:19.430 align:middle line:84%
If you want to do it
in a quantitative or

01:08:19.430 --> 01:08:23.540 align:middle line:84%
semi-quantitative manner,
you can use the same model.

01:08:23.540 --> 01:08:25.130 align:middle line:84%
Same mathematical
segregation model

01:08:25.130 --> 01:08:29.479 align:middle line:84%
was used as was
used for previously.

01:08:29.479 --> 01:08:32.060 align:middle line:84%
And again, this reaction
creates interstitials,

01:08:32.060 --> 01:08:36.350 align:middle line:84%
which will help free
up substitutional gold

01:08:36.350 --> 01:08:40.410 align:middle line:84%
to make it ready,
interstitial for diffusion.

01:08:40.410 --> 01:08:42.323 align:middle line:84%
So on page 20 or
slide 23, I just

01:08:42.323 --> 01:08:43.490 align:middle line:90%
want to summarize gettering.

01:08:43.490 --> 01:08:44.779 align:middle line:90%
It's still fairly qualitative.

01:08:44.779 --> 01:08:45.920 align:middle line:90%
I think you can tell.

01:08:45.920 --> 01:08:48.649 align:middle line:84%
These gettering
methods really haven't

01:08:48.649 --> 01:08:52.100 align:middle line:84%
been changed much in
the last 10 to 15 years.

01:08:52.100 --> 01:08:55.490 align:middle line:84%
There is a better
understanding of how it works.

01:08:55.490 --> 01:08:58.609 align:middle line:84%
But we really still
need better models.

01:08:58.609 --> 01:09:00.380 align:middle line:84%
In the future,
intrinsic gettering,

01:09:00.380 --> 01:09:03.050 align:middle line:84%
this process of creating the
denuded zone either by epi

01:09:03.050 --> 01:09:04.670 align:middle line:84%
or whatever, is
going to dominate

01:09:04.670 --> 01:09:09.200 align:middle line:84%
because the thermal budgets for
IC processing will decrease.

01:09:09.200 --> 01:09:11.180 align:middle line:84%
And trying to diffuse
those atoms all the way

01:09:11.180 --> 01:09:13.923 align:middle line:84%
to the back of the wafer,
especially titanium and moly,

01:09:13.923 --> 01:09:15.590 align:middle line:84%
which have lower
diffusion coefficients,

01:09:15.590 --> 01:09:18.510 align:middle line:90%
is not very practical.

01:09:18.510 --> 01:09:21.649 align:middle line:84%
So having the gettering
site close is better.

01:09:21.649 --> 01:09:24.260 align:middle line:84%
Clearly, the amount of oxygen,
the oxygen concentration

01:09:24.260 --> 01:09:26.212 align:middle line:84%
in the wafer, is going
to be critical for

01:09:26.212 --> 01:09:27.420 align:middle line:90%
this whole gettering process.

01:09:27.420 --> 01:09:30.680 align:middle line:84%
So we're going to need tighter
controls so that we can really

01:09:30.680 --> 01:09:32.660 align:middle line:84%
control the gettering
process, and also

01:09:32.660 --> 01:09:35.029 align:middle line:84%
to control other things
like wafer warpage.

01:09:35.029 --> 01:09:37.310 align:middle line:84%
We talked earlier about
how oxygen actually

01:09:37.310 --> 01:09:39.290 align:middle line:84%
increases the mechanical
strength of silicon.

01:09:39.290 --> 01:09:44.960 align:middle line:84%
So newer techniques are
needed to do gettering

01:09:44.960 --> 01:09:45.960 align:middle line:90%
at lower temperatures.

01:09:45.960 --> 01:09:48.290 align:middle line:90%
So that's an area for work.

01:09:48.290 --> 01:09:50.660 align:middle line:84%
And there is really no
accurate simulation tool.

01:09:50.660 --> 01:09:52.158 align:middle line:84%
In this class, for
homework, you're

01:09:52.158 --> 01:09:54.200 align:middle line:84%
going to learn how to use
simulation tools called

01:09:54.200 --> 01:09:57.690 align:middle line:84%
SUPREM-IV to model processes
like diffusion, oxidation,

01:09:57.690 --> 01:09:58.190 align:middle line:90%
whatever.

01:09:58.190 --> 01:10:00.560 align:middle line:84%
There is no such simple
tool for gettering.

01:10:00.560 --> 01:10:04.220 align:middle line:84%
It's still very hand-waving
qualitative arguments,

01:10:04.220 --> 01:10:07.650 align:middle line:90%
like we've given today.

01:10:07.650 --> 01:10:10.440 align:middle line:84%
And I'll finish up by
summarizing chapter 4.

01:10:10.440 --> 01:10:13.500 align:middle line:84%
The last couple of lectures, we
talked about particle control,

01:10:13.500 --> 01:10:15.180 align:middle line:84%
wafer cleaning, and
gettering processes.

01:10:15.180 --> 01:10:17.550 align:middle line:84%
These three things,
all of these are

01:10:17.550 --> 01:10:20.400 align:middle line:84%
crucial for successful
manufacturing

01:10:20.400 --> 01:10:23.880 align:middle line:84%
and even for doing the research
that you do here in MTL.

01:10:23.880 --> 01:10:25.850 align:middle line:84%
There's a three-term
tiered approach.

01:10:25.850 --> 01:10:28.740 align:middle line:84%
It was to keep the air
and the water clean,

01:10:28.740 --> 01:10:32.460 align:middle line:84%
continuously clean the
wafers in these chemicals,

01:10:32.460 --> 01:10:36.672 align:middle line:84%
and use the RCA clean, and
finally, to do gettering.

01:10:36.672 --> 01:10:39.360 align:middle line:84%
Gettering involves
releasing the impurities,

01:10:39.360 --> 01:10:42.510 align:middle line:84%
diffusing them to the trapping
site, and getting them trapped.

01:10:42.510 --> 01:10:46.170 align:middle line:84%
The good thing is that most
metals diffuse relatively fast.

01:10:46.170 --> 01:10:48.300 align:middle line:90%
That's both good and bad.

01:10:48.300 --> 01:10:49.620 align:middle line:90%
There are a lot of means.

01:10:49.620 --> 01:10:51.037 align:middle line:84%
And next time,
we're going to talk

01:10:51.037 --> 01:10:54.480 align:middle line:84%
about the physical, electrical
means for characterizing

01:10:54.480 --> 01:10:55.830 align:middle line:90%
the wafer contamination.

01:10:55.830 --> 01:10:57.408 align:middle line:84%
And how effective
is your gettering?

01:10:57.408 --> 01:10:58.950 align:middle line:84%
And how contaminated
are your wafers?

01:10:58.950 --> 01:11:02.010 align:middle line:84%
And I showed you some data
today without explaining

01:11:02.010 --> 01:11:03.845 align:middle line:90%
TXRF and things like that.

01:11:03.845 --> 01:11:05.220 align:middle line:84%
We'll talk next
time a little bit

01:11:05.220 --> 01:11:08.220 align:middle line:84%
about how some of those
contamination measurement

01:11:08.220 --> 01:11:09.850 align:middle line:90%
techniques work.

01:11:09.850 --> 01:11:12.190 align:middle line:84%
So that's all I have
for this lecture.

01:11:12.190 --> 01:11:15.570 align:middle line:84%
Please come up and hand in your
homework in the orange folder

01:11:15.570 --> 01:11:18.210 align:middle line:90%
here, homework number 1.

01:11:18.210 --> 01:11:20.150 align:middle line:90%
Thanks.

01:11:20.150 --> 01:11:23.660 align:middle line:90%
[SIDE CONVERSATIONS]

01:11:23.660 --> 01:11:29.000 align:middle line:90%