WEBVTT

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JUDY HOYT: Doing right
now is hopefully,

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you're all reading
chapter 6, which

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covers the process
of thermal oxidation.

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Last time, we talked
about general introduction

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to thermal oxides
in silicon CMOS.

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And we also talked about
the metal oxide silicon

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or semiconductor capacitor
and how electrical simple CD

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measurements can be
used to understand

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the quality of the
oxide and the charges

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that exist in that structure.

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This time, we're going to
cover a basic model called

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the Deal-Grove.

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This is after the two people,
that's Bruce Deal and Andy

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Grove, who came up with this
linear parabolic oxidation

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model.

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It really remains the
basic model used today.

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And then we'll talk about
examples on how to use it.

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And we'll finish up with other
models of planar oxidation

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that are very useful in
the very thin oxide regime.

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So I'm just curious,
how many people

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here have known or
not known but have

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heard about the Deal-Grove
oxidation model?

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So about maybe a little
less than half or so.

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OK, so that works
reasonably well.

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We go through it because
it's the basic model.

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And then everything
after that, a lot

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of things after that
tend to be corrections

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to the Deal-Grove model.

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So let's go on to
slide number 2.

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And that shows the
basic schematic setup

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for how Deal and Grove
derived their model.

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What it shows you
is turned sideways

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is you have a gas stream
here on the left that's

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on top of the wafer.

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There is a thermal
oxide being grown here

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in this white region,
the silicon dioxide.

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And the pink on the
right shows this meant

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to represent the silicon wafer.

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And just to give you an
order of magnitude scale.

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The silicon wafer is thick.

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Of course, it's
hundreds of microns.

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This oxide that we're
talking about growing

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is on the order of
0.01, 0.01 micron being

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about 100 angstroms
or 10 nanometers

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up to maybe a micron.

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That would be the range
of reasonable thicknesses

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of which you would grow.

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Once you start growing
more than a micron,

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as you'll see today, if you
want to grow one or two or three

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microns by a thermal process,
it gets pretty darn slow.

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The kinetics are such
that it becomes really not

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very practical.

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So you don't see too many
people growing oxides

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that much thicker than
a couple of microns.

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If they need oxides
that thick, they

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do a different process called
chemical vapor deposition.

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So the basic idea of
this model, though,

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is that we have a
gas stream here.

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And there's a concentration
C sub G of the oxidant.

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Let's say it's oxygen. Could be
oxygen, could be water vapor.

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But there's some concentration
in the main gas flow ,

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in the main gas stream.

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As you get closer to the
surface of the wafer, which

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has oxide on it, it has
some concentration C sub

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S that's right at the
surface of the wafer.

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There may be some boundary
layer or whatever that causes

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a gradient to cross here.

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But right at the
surface of the wafer,

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it's at C sub S in the
gap but in the gas phase.

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In the solid, right
inside at the very surface

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in the solid oxide, this oxidant
has some concentration C sub

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O right at the surface,
or C 0 if you would like.

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And then there is some
gradient of the oxidant,

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say of the oxygen molecule.

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There's a gradient
throughout the oxide.

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And at the interface, it
has C sub I, the I standing

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for the interface.

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It has that concentration.

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And the basic chemical
reactions that

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are happening now
at the interface,

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not at the oxide
surface, are shown here.

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Silicon plus oxygen going to
SiO2 or silicon plus moisture,

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H2O, going to SiO2.

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And there in the
equations that we're

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going to derive,
the simple model,

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there are three fluxes involved.

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There's a flux F1
of oxidant that

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has to be transported
in the gas phase

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from the major
portion of the gas

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phase in the center of the tube
to the surface of the wafer.

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That's one flux.

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There's a flux F2 in the oxide.

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This is the diffusion of the
oxidant through the oxide.

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And there's finally
a flux F3, which

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is what's happening
right at the interface

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as the oxygen is incorporated
into the growing oxide.

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So let's go on to slide 3.

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Again, on the upper
diagram is exactly what

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I've just shown you.

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For those of you who have
forgotten, on the upper right,

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I'm reminding you what
the definition of flux is.

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What is a flux?

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It's the number of particles.

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Doesn't have to
be, in this case,

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I'm talking about oxygen
molecules or water vapor

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molecules.

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But it's the number of
particles crossing a unit area--

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so a unit area in
this direction here--

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per unit time.

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So there's a flux, in this
case, going from the left

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to the right.

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In fact, there's three
different of them.

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So what Deal and Grove
did was write down

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three very simple equations,
first order flux equations,

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which show these three
series parts of the process.

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Again, they're all
happening in series.

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So there's a flux, F1.

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They wrote down
using Henry's law.

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So Henry's law just says,
in the gas phase transport,

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if you have a concentration
difference or a gradient

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here from this point here in the
center of where the gas flow is

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to the surface, C sub S, that
you can write the flux as just

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some constant, some Henry's
constant, a constant number

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times the difference
in the concentration

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between the surface and the
where the concentration is CG.

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So that's a simple
equation from Henry's law.

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A second equation
they wrote down

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was diffusion through the oxide.

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And this comes from Fick's
law, Fick's first law.

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Hopefully, some of you
have seen this, maybe not

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in this particular form.

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When we talk about diffusion,
it'll become very obvious.

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But this is Fick's first law
for diffusion through the oxide.

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The flux F2 is just
a constant number,

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which we call the diffusivity,
D, times the gradient

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of the diffusion, DN by
DX, where n is generally

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just the concentration
of whatever is diffusing.

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And you can write that.

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If this is a straight
line, writing

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the gradient of a straight
line is very simple.

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It's just C at the surface,
C 0 minus C interface divided

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by the thickness of the oxide.

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So it's a simple equation
to write diffusion

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through the oxide.

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And finally, F3 is the
flux at the interface.

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And this is just a
surface reaction rate.

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So we write this final flux
as K sub S, a constant,

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which has to do with how
rapidly the reaction is taking

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place at the interface, times
the concentration of oxygen

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or water vapor right
at the interface.

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So three equations for
each of these fluxes.

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So we go on to slide 3.

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And what they're assuming
is steady-state condition.

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And what we mean
by steady state is

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things are not changing
with time, these profiles.

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So if I just go back
one second to slide 3,

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is that this profile is, we're
not in the transient phase.

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This profile has now been
established as a linear profile

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in a steady state.

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It's not changing with time.

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You've established
a constant profile.

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So in those conditions,
then, we can write down

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that the three fluxes in series
are all equal to each other.

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We don't have any
buildup or any sync.

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So F1, the flux throwing through
the gas, has to be equal to F2,

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the flux diffusing
through has to be

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equal to the reactive flux.

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So in that case, then,
it's relatively simple.

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If you sit down and you
equate those three equations,

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you can derive this formula
here, equation number 4,

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for the concentration of the
oxygen molecules of the water

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vapor C sub I at the interface.

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You can write it as some
constant, C star, which we'll

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talk about, where C star is
the solubility of the oxidant

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in the oxide divided by a
three-term expression, 1

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plus the ratio of K sub S to H.

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So that tells us something
about the ratio of the surface

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reaction coefficient to Henry's
coefficient H, plus k sub S X

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node over D. This is
involving a diffusivity term.

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And so what we are generally
going to do in this,

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we can actually
simplify this equation

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by recognizing that we actually
can neglect F1, the gas phase

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transport, which is usually
a very good approximation.

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It's very fast.

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So if I go back to this slide
number 3 briefly, this flux,

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this is happening much,
much faster than these two

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processes, than the diffusion
through the solid or then

00:08:36.851 --> 00:08:39.059 align:middle line:84%
the reaction, as it happens
to turn out in this case.

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That won't always be the
case for other processes.

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When we talk about epitaxial
growth or chemical vapor

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deposition, it won't
always be this case

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that you can ignore the
gas phase transport.

00:08:49.350 --> 00:08:52.602 align:middle line:84%
But as it turns out, the
surface reaction is slow enough,

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and the diffusion
through the oxide

00:08:54.060 --> 00:08:59.200 align:middle line:84%
is slow enough that this
is always very fast.

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And so the beautiful
thing about oxidation

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is you can ignore
gas phase transport.

00:09:03.810 --> 00:09:06.190 align:middle line:84%
And that's why you can
design oxidation tubes

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to be very simple.

00:09:06.940 --> 00:09:09.780 align:middle line:84%
You just stand all the wafers
up and flow the oxygen through.

00:09:09.780 --> 00:09:12.580 align:middle line:84%
And you don't have to care
about exactly how the gas flows.

00:09:12.580 --> 00:09:15.160 align:middle line:84%
When we talk about
other processes

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like epitaxial growth, no
such luxury by any means.

00:09:18.700 --> 00:09:21.440 align:middle line:84%
In that case, this flux
is extremely important.

00:09:21.440 --> 00:09:24.160 align:middle line:84%
And in fact, it controls
the process many times.

00:09:24.160 --> 00:09:26.350 align:middle line:84%
So but we're very
lucky in oxide growth

00:09:26.350 --> 00:09:29.350 align:middle line:84%
that these two processes
F2 and F3 are slow.

00:09:29.350 --> 00:09:31.990 align:middle line:90%
So we can ignore F1.

00:09:31.990 --> 00:09:34.480 align:middle line:84%
And that just ends up
simplifying the equations

00:09:34.480 --> 00:09:37.280 align:middle line:90%
to a certain extent.

00:09:37.280 --> 00:09:40.870 align:middle line:84%
And so if I rearrange
this a little bit,

00:09:40.870 --> 00:09:44.680 align:middle line:84%
we get equation number
5 here for the--

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we're really
interested in C sub O

00:09:46.270 --> 00:09:52.790 align:middle line:84%
here, the concentration at
the surface of the oxidant.

00:09:52.790 --> 00:09:55.600 align:middle line:84%
So let me combine now
this equation number

00:09:55.600 --> 00:09:58.720 align:middle line:84%
4, which tells me what
the concentration of water

00:09:58.720 --> 00:10:04.180 align:middle line:84%
or oxygen is at the
interface with--

00:10:04.180 --> 00:10:06.910 align:middle line:84%
I'm going to combine this
equation with equation 3,

00:10:06.910 --> 00:10:10.390 align:middle line:84%
just going back again, which
just tells me that the surface

00:10:10.390 --> 00:10:13.640 align:middle line:90%
reaction rate flux.

00:10:13.640 --> 00:10:18.230 align:middle line:84%
And we get something like
this that says that DX by DT--

00:10:18.230 --> 00:10:22.020 align:middle line:84%
so that's the rate of change
of the thickness of the oxide--

00:10:22.020 --> 00:10:25.010 align:middle line:84%
DX by DT, we know
we can write it

00:10:25.010 --> 00:10:27.170 align:middle line:84%
as a flux divided
by a concentration.

00:10:27.170 --> 00:10:29.940 align:middle line:84%
So N1 here, does
what anybody have

00:10:29.940 --> 00:10:33.120 align:middle line:84%
an idea of what N1 is, just
from dimensional arguments?

00:10:33.120 --> 00:10:36.830 align:middle line:90%


00:10:36.830 --> 00:10:38.750 align:middle line:90%
I want to get DX by DT.

00:10:38.750 --> 00:10:43.590 align:middle line:84%
Flux tells you the number of
atoms per square centimeter

00:10:43.590 --> 00:10:45.480 align:middle line:90%
per unit time.

00:10:45.480 --> 00:10:48.030 align:middle line:84%
So N1 has to have the
units of the concentration

00:10:48.030 --> 00:10:52.140 align:middle line:84%
per cubic centimeter,
basically, so that it works out,

00:10:52.140 --> 00:10:53.640 align:middle line:84%
even just to work
out dimensionally.

00:10:53.640 --> 00:10:54.540 align:middle line:84%
Of course, I don't
have any chalk.

00:10:54.540 --> 00:10:55.548 align:middle line:90%
But that's what happens.

00:10:55.548 --> 00:10:57.090 align:middle line:84%
But if you work it
out dimensionally,

00:10:57.090 --> 00:10:59.190 align:middle line:84%
flux has a number
of atoms per unit

00:10:59.190 --> 00:11:00.850 align:middle line:90%
time per square centimeter.

00:11:00.850 --> 00:11:03.120 align:middle line:84%
This is the number of
atoms in the oxide.

00:11:03.120 --> 00:11:05.250 align:middle line:84%
Per cubic centimeter,
you end up with something

00:11:05.250 --> 00:11:08.140 align:middle line:84%
like looks like
centimeters per unit time,

00:11:08.140 --> 00:11:09.870 align:middle line:90%
or length per unit time.

00:11:09.870 --> 00:11:13.682 align:middle line:84%
So this is how quickly the
oxide is growing, the growth

00:11:13.682 --> 00:11:15.390 align:middle line:84%
rate or the velocity,
which is what we're

00:11:15.390 --> 00:11:16.682 align:middle line:90%
interested in, the growth rate.

00:11:16.682 --> 00:11:19.050 align:middle line:90%
Can be written like this.

00:11:19.050 --> 00:11:21.690 align:middle line:84%
It's the product of K sub S,
the surface reaction rate,

00:11:21.690 --> 00:11:23.700 align:middle line:90%
times the C star.

00:11:23.700 --> 00:11:26.590 align:middle line:84%
C star is the solubility of
the oxidant in the oxide.

00:11:26.590 --> 00:11:31.590 align:middle line:84%
So that's as much as you can
put in at that temperature, OK?

00:11:31.590 --> 00:11:33.840 align:middle line:84%
You might have more in
the gas phase than that.

00:11:33.840 --> 00:11:36.270 align:middle line:84%
But that's how much will
go in at that temperature.

00:11:36.270 --> 00:11:39.660 align:middle line:84%
C star divided by this
denominator, 1 plus K sub

00:11:39.660 --> 00:11:44.380 align:middle line:84%
over H plus K sub
S X naught over D.

00:11:44.380 --> 00:11:47.770 align:middle line:84%
So that's telling us the
rate of growth of the oxide.

00:11:47.770 --> 00:11:50.710 align:middle line:84%
Now, we have it, in terms of
certain fundamental physical

00:11:50.710 --> 00:11:53.610 align:middle line:90%
parameters.

00:11:53.610 --> 00:11:58.070 align:middle line:90%
So let's go on to slide 5.

00:11:58.070 --> 00:12:01.010 align:middle line:84%
That was a simple, if you
want, differential equation,

00:12:01.010 --> 00:12:04.160 align:middle line:84%
DX by DT, just says
how rapidly it's--

00:12:04.160 --> 00:12:06.440 align:middle line:84%
what is the velocity
of the growth.

00:12:06.440 --> 00:12:07.790 align:middle line:90%
And we integrate that.

00:12:07.790 --> 00:12:10.895 align:middle line:84%
If you look in the text,
it has a little bit

00:12:10.895 --> 00:12:12.770 align:middle line:84%
of more detail on how
you do the integration.

00:12:12.770 --> 00:12:16.070 align:middle line:84%
But you integrate it
between 0 and some time

00:12:16.070 --> 00:12:19.490 align:middle line:84%
and between some
initial thickness X sub

00:12:19.490 --> 00:12:22.460 align:middle line:84%
I. And your final
thickness or the thickness

00:12:22.460 --> 00:12:24.380 align:middle line:90%
at any point in time, X0.

00:12:24.380 --> 00:12:28.010 align:middle line:84%
So here, X0 is the thickness
of the oxide right at the time,

00:12:28.010 --> 00:12:30.860 align:middle line:84%
T. And XI is whatever
thickness you started.

00:12:30.860 --> 00:12:33.230 align:middle line:84%
With could be 0,
whatever you thickness

00:12:33.230 --> 00:12:36.150 align:middle line:84%
you started with at the start
of the oxidation process.

00:12:36.150 --> 00:12:38.630 align:middle line:84%
So by doing that
integration, you

00:12:38.630 --> 00:12:44.252 align:middle line:84%
end up with that time, if
this can solve for time,

00:12:44.252 --> 00:12:45.710 align:middle line:84%
is a two-term
expression, something

00:12:45.710 --> 00:12:48.770 align:middle line:84%
that involves X squared,
thickness squared,

00:12:48.770 --> 00:12:51.350 align:middle line:84%
and something that involves
a linear term, thickness

00:12:51.350 --> 00:12:52.890 align:middle line:90%
to the first power.

00:12:52.890 --> 00:12:54.510 align:middle line:90%
So this is the origin.

00:12:54.510 --> 00:12:56.730 align:middle line:84%
The origin of this
parabolic/linear model.

00:12:56.730 --> 00:12:57.882 align:middle line:90%
Here's a parabolic term.

00:12:57.882 --> 00:12:59.340 align:middle line:84%
It goes like the
thickness squared.

00:12:59.340 --> 00:13:00.800 align:middle line:90%
Here's a linear term.

00:13:00.800 --> 00:13:04.700 align:middle line:84%
And the multipliers
are B. Here, this

00:13:04.700 --> 00:13:09.080 align:middle line:84%
is the multiplier of the
X0 the parabolic term.

00:13:09.080 --> 00:13:10.170 align:middle line:90%
Looks like this.

00:13:10.170 --> 00:13:12.710 align:middle line:84%
It's it looks like the
diffusion coefficient

00:13:12.710 --> 00:13:15.200 align:middle line:84%
through the oxide times the
solubility in the oxide, C

00:13:15.200 --> 00:13:17.550 align:middle line:90%
star, divided by N1.

00:13:17.550 --> 00:13:20.490 align:middle line:84%
So the parabolic process
has to do with diffusion

00:13:20.490 --> 00:13:21.510 align:middle line:90%
through the oxide.

00:13:21.510 --> 00:13:25.980 align:middle line:84%
The linear term, the
term that multiplies X0,

00:13:25.980 --> 00:13:29.490 align:middle line:84%
can be simplified here
to something that looks

00:13:29.490 --> 00:13:32.220 align:middle line:90%
like C star K sub over N1.

00:13:32.220 --> 00:13:34.080 align:middle line:84%
And again, I'm
ignoring this 1 over H

00:13:34.080 --> 00:13:36.340 align:middle line:84%
because this is
going very rapidly.

00:13:36.340 --> 00:13:41.140 align:middle line:84%
So H is very large compared to
K. So I can ignore this term.

00:13:41.140 --> 00:13:42.640 align:middle line:84%
So this is the
linear rate constant,

00:13:42.640 --> 00:13:45.970 align:middle line:84%
which tells you something about
the surface reaction rate.

00:13:45.970 --> 00:13:48.390 align:middle line:84%
So linear rate constant has
to do with the reaction.

00:13:48.390 --> 00:13:50.790 align:middle line:84%
Parabolic has to do
with the diffusion.

00:13:50.790 --> 00:13:52.560 align:middle line:84%
Notice that they
both depend, however,

00:13:52.560 --> 00:13:57.210 align:middle line:84%
on C star, which is the
solubility of either the oxygen

00:13:57.210 --> 00:14:00.850 align:middle line:90%
or the water in the oxide.

00:14:00.850 --> 00:14:02.460 align:middle line:84%
So let's go on to
slide number 6.

00:14:02.460 --> 00:14:04.515 align:middle line:84%
These rate constants,
B and B over A,

00:14:04.515 --> 00:14:05.640 align:middle line:90%
have some physical meaning.

00:14:05.640 --> 00:14:08.190 align:middle line:84%
We just talked about
that, diffusion

00:14:08.190 --> 00:14:10.380 align:middle line:84%
of the oxidant and
interface reaction.

00:14:10.380 --> 00:14:14.490 align:middle line:84%
And we find experimentally
that we can write them

00:14:14.490 --> 00:14:15.960 align:middle line:90%
as Arrhenius relationships.

00:14:15.960 --> 00:14:18.160 align:middle line:84%
They're exponentially
dependent on E

00:14:18.160 --> 00:14:22.840 align:middle line:84%
to some activation energy, E
to the minus E1 over KT or E

00:14:22.840 --> 00:14:26.500 align:middle line:84%
to the minus E2 over
KT times a prefactor.

00:14:26.500 --> 00:14:28.810 align:middle line:90%
The prefactor here is C1.

00:14:28.810 --> 00:14:32.020 align:middle line:90%
For B and B over A is C2.

00:14:32.020 --> 00:14:34.550 align:middle line:84%
And these rate constants have
been studied for many years.

00:14:34.550 --> 00:14:35.980 align:middle line:84%
People have measured
them or tried

00:14:35.980 --> 00:14:37.570 align:middle line:90%
to extract them experimentally.

00:14:37.570 --> 00:14:40.600 align:middle line:84%
And this is a chart, a
table, I took directly

00:14:40.600 --> 00:14:43.070 align:middle line:84%
out of your text, which
shows the ambient.

00:14:43.070 --> 00:14:47.380 align:middle line:84%
So that's the type
of gases environment

00:14:47.380 --> 00:14:50.230 align:middle line:84%
that you are in, the
wafer is in, and the rate

00:14:50.230 --> 00:14:52.610 align:middle line:84%
constants, B and B over A,
and how to calculate them.

00:14:52.610 --> 00:14:56.020 align:middle line:84%
So in dry oxygen, so you're
flowing O2 in the tube.

00:14:56.020 --> 00:14:58.090 align:middle line:90%
But there's no moisture around.

00:14:58.090 --> 00:15:01.300 align:middle line:84%
To calculate the B rate
constant, you need to know C1.

00:15:01.300 --> 00:15:08.500 align:middle line:84%
And you need to know E1, the
activation energies, wet O2

00:15:08.500 --> 00:15:12.620 align:middle line:84%
and H2O and moisture
environment.

00:15:12.620 --> 00:15:14.665 align:middle line:84%
So, by the way, just
be careful when you're

00:15:14.665 --> 00:15:15.790 align:middle line:90%
going to use these numbers.

00:15:15.790 --> 00:15:18.400 align:middle line:84%
These are for 111
silicon oxidation.

00:15:18.400 --> 00:15:20.230 align:middle line:84%
So that's the
oxidation of a wafer

00:15:20.230 --> 00:15:24.670 align:middle line:84%
with orientation surface of 111
at one atmospheric pressure.

00:15:24.670 --> 00:15:28.300 align:middle line:84%
If you want to know the
values for 100 silicon,

00:15:28.300 --> 00:15:31.045 align:middle line:84%
then you take the C2
values, these B over A,

00:15:31.045 --> 00:15:34.520 align:middle line:84%
the rate constants,
and you divide by 1.68.

00:15:34.520 --> 00:15:39.560 align:middle line:84%
So it's slower for
a 100 interface.

00:15:39.560 --> 00:15:42.080 align:middle line:84%
And if you go back and look
at your crystallography

00:15:42.080 --> 00:15:44.630 align:middle line:84%
and look at the number of
atoms per square centimeter,

00:15:44.630 --> 00:15:48.290 align:middle line:84%
it actually makes some sense
because on a 111 interface,

00:15:48.290 --> 00:15:51.170 align:middle line:84%
we have the largest number of
atoms per square centimeter

00:15:51.170 --> 00:15:54.207 align:middle line:90%
available for the oxidation.

00:15:54.207 --> 00:15:55.790 align:middle line:84%
So it's going to be
the rate constants

00:15:55.790 --> 00:15:57.560 align:middle line:90%
are going to be faster.

00:15:57.560 --> 00:15:59.780 align:middle line:84%
But notice, the
activation energy

00:15:59.780 --> 00:16:02.270 align:middle line:84%
doesn't change as you
change orientations.

00:16:02.270 --> 00:16:05.930 align:middle line:84%
It's all for the rate constant
B over A, the surface reaction

00:16:05.930 --> 00:16:09.060 align:middle line:84%
rate, it all has an activation
energy of close to 2EV.

00:16:09.060 --> 00:16:12.000 align:middle line:90%


00:16:12.000 --> 00:16:15.900 align:middle line:84%
So the activation energy for
B over A is roughly constant.

00:16:15.900 --> 00:16:18.480 align:middle line:84%
It just depends on the
surface reaction rate.

00:16:18.480 --> 00:16:22.920 align:middle line:84%
For B, interestingly, the
activation energy for B

00:16:22.920 --> 00:16:24.370 align:middle line:90%
varies with the process.

00:16:24.370 --> 00:16:27.780 align:middle line:84%
So depending on whether
you're in a dry O2 here,

00:16:27.780 --> 00:16:29.970 align:middle line:90%
you get 1.23 EV.

00:16:29.970 --> 00:16:31.560 align:middle line:90%
Here, this is 0.7 EV.

00:16:31.560 --> 00:16:34.530 align:middle line:84%
And for moisture and
for water, it's 0.78 EV.

00:16:34.530 --> 00:16:36.637 align:middle line:84%
So it actually varies
with the process.

00:16:36.637 --> 00:16:38.220 align:middle line:84%
And that makes some
sense because what

00:16:38.220 --> 00:16:39.670 align:middle line:90%
did we say B depends on?

00:16:39.670 --> 00:16:42.660 align:middle line:84%
It depends on the diffusion of
this species through the oxide.

00:16:42.660 --> 00:16:44.550 align:middle line:84%
Well, a water
molecule, if that's

00:16:44.550 --> 00:16:46.050 align:middle line:84%
what's diffusing
the oxide, is going

00:16:46.050 --> 00:16:48.660 align:middle line:84%
to diffuse at a
different rate or maybe

00:16:48.660 --> 00:16:55.960 align:middle line:84%
have a different solubility
than just oxygen molecule.

00:16:55.960 --> 00:17:02.660 align:middle line:84%
So we do see a difference in
the activation energy for B.

00:17:02.660 --> 00:17:05.990 align:middle line:84%
And on slide 7, obviously,
you can do this yourself.

00:17:05.990 --> 00:17:10.410 align:middle line:84%
You just sit down with those
equations on a semi-log plot.

00:17:10.410 --> 00:17:12.660 align:middle line:84%
So this is a log
scale on the y-axis.

00:17:12.660 --> 00:17:15.319 align:middle line:84%
And this is 1 over
T or a 1,000 over T.

00:17:15.319 --> 00:17:20.390 align:middle line:84%
This is a standard Arrhenius
plot you've had to make.

00:17:20.390 --> 00:17:25.520 align:middle line:84%
So on a semi-log plot, any kind
of exponential relationship

00:17:25.520 --> 00:17:29.270 align:middle line:84%
will appear as a straight
line because it's log paper.

00:17:29.270 --> 00:17:31.640 align:middle line:84%
And these are the
different constants.

00:17:31.640 --> 00:17:38.870 align:middle line:84%
Here we are for water is the B
constant, the B over A, rather.

00:17:38.870 --> 00:17:40.370 align:middle line:90%
And this is the B constant.

00:17:40.370 --> 00:17:44.330 align:middle line:90%
And these are for 111.

00:17:44.330 --> 00:17:47.060 align:middle line:84%
So you just literally plot
what values are on the table.

00:17:47.060 --> 00:17:48.560 align:middle line:84%
One thing you see
right off the bat,

00:17:48.560 --> 00:17:52.100 align:middle line:84%
just from this plot, these two
lines on top that are faster,

00:17:52.100 --> 00:17:56.090 align:middle line:84%
that are larger, are for
oxidation in water vapor

00:17:56.090 --> 00:17:56.868 align:middle line:90%
as opposed to dry.

00:17:56.868 --> 00:17:58.910 align:middle line:84%
So right off the bat, you
know the rate constants

00:17:58.910 --> 00:18:00.840 align:middle line:90%
are higher for water than dry.

00:18:00.840 --> 00:18:03.240 align:middle line:84%
So if you want to
grow faster in oxide,

00:18:03.240 --> 00:18:07.540 align:middle line:84%
you would grow it in a moisture
environment, not in dry O2.

00:18:07.540 --> 00:18:08.790 align:middle line:90%
And that's typically the case.

00:18:08.790 --> 00:18:12.570 align:middle line:84%
People grow thick oxides using
a wet environment, thin oxides

00:18:12.570 --> 00:18:14.320 align:middle line:90%
using a dry environment.

00:18:14.320 --> 00:18:17.080 align:middle line:90%


00:18:17.080 --> 00:18:20.800 align:middle line:84%
OK, let's go just go
on to slide number 8

00:18:20.800 --> 00:18:22.720 align:middle line:90%
and just reformulate this.

00:18:22.720 --> 00:18:25.150 align:middle line:84%
You can do some
mathematical manipulations

00:18:25.150 --> 00:18:28.150 align:middle line:84%
on the law, the linear parabolic
law, as I showed it earlier.

00:18:28.150 --> 00:18:29.740 align:middle line:84%
I've just repeated
that equation,

00:18:29.740 --> 00:18:31.510 align:middle line:84%
where on the
right-hand side, we've

00:18:31.510 --> 00:18:36.590 align:middle line:84%
solved for T. On the left-hand
side is the oxide thickness.

00:18:36.590 --> 00:18:39.910 align:middle line:84%
There are alternate ways
to express this law.

00:18:39.910 --> 00:18:42.490 align:middle line:84%
And in fact, here's
a reformulation

00:18:42.490 --> 00:18:45.740 align:middle line:84%
of it shown in the second
equation on this slide.

00:18:45.740 --> 00:18:48.580 align:middle line:84%
What you see is what we've done
is now, we've expressing it

00:18:48.580 --> 00:18:52.540 align:middle line:84%
as X0 squared over B plus
X0 divided by B over A

00:18:52.540 --> 00:18:56.110 align:middle line:84%
is equal to T plus tau,
where what we've done

00:18:56.110 --> 00:19:01.510 align:middle line:84%
is tau now is defined as the
time that it would have taken,

00:19:01.510 --> 00:19:04.810 align:middle line:84%
the effect of time, to grow the
initial oxide thickness X sub

00:19:04.810 --> 00:19:08.590 align:middle line:84%
I. So this is just obtained
by a mathematical manipulation

00:19:08.590 --> 00:19:10.700 align:middle line:90%
of the first equation.

00:19:10.700 --> 00:19:14.410 align:middle line:84%
So if you set tau equal to
XI, the initial squared,

00:19:14.410 --> 00:19:18.545 align:middle line:84%
plus A XI over B, just
mathematically, you do that,

00:19:18.545 --> 00:19:20.170 align:middle line:84%
then you get a
mathematical equivalence

00:19:20.170 --> 00:19:24.280 align:middle line:84%
of the second equation
to the first equation.

00:19:24.280 --> 00:19:26.590 align:middle line:84%
Sometimes, you also
want to explicitly

00:19:26.590 --> 00:19:28.840 align:middle line:84%
have an equation
that shows you what

00:19:28.840 --> 00:19:30.700 align:middle line:90%
X0 is, the oxide thickness.

00:19:30.700 --> 00:19:32.200 align:middle line:90%
That's not what's shown here.

00:19:32.200 --> 00:19:35.770 align:middle line:84%
On the upper two
equations, X0 is implicit

00:19:35.770 --> 00:19:38.110 align:middle line:84%
because it appears here
in two different terms.

00:19:38.110 --> 00:19:41.350 align:middle line:84%
If you want to solve explicitly
for the oxide thickness,

00:19:41.350 --> 00:19:43.660 align:middle line:84%
you can see this
middle equation, X0,

00:19:43.660 --> 00:19:44.750 align:middle line:90%
it looks like this.

00:19:44.750 --> 00:19:48.790 align:middle line:84%
It's got a square root
dependence on time.

00:19:48.790 --> 00:19:52.720 align:middle line:84%
And where, again, tau
has the same definition,

00:19:52.720 --> 00:19:55.810 align:middle line:84%
XI squared, it's just that
time to grow the initial oxide,

00:19:55.810 --> 00:19:58.015 align:middle line:84%
the effect of time in
the Deal-Grove model.

00:19:58.015 --> 00:20:01.880 align:middle line:90%


00:20:01.880 --> 00:20:05.460 align:middle line:84%
OK, let's go on
to slide number 9.

00:20:05.460 --> 00:20:08.362 align:middle line:84%
And again, this
reformulation, I'm

00:20:08.362 --> 00:20:10.570 align:middle line:84%
just repeating the equations
from the previous slide.

00:20:10.570 --> 00:20:12.810 align:middle line:84%
So you don't have
to remember them.

00:20:12.810 --> 00:20:15.690 align:middle line:84%
Again, XI and tau
account for any oxide

00:20:15.690 --> 00:20:19.050 align:middle line:84%
that was present at the
start of the process.

00:20:19.050 --> 00:20:21.413 align:middle line:84%
When you first
push the wafer in,

00:20:21.413 --> 00:20:22.830 align:middle line:84%
you might have had
other processes

00:20:22.830 --> 00:20:23.970 align:middle line:90%
that have taken place.

00:20:23.970 --> 00:20:28.930 align:middle line:84%
And they might already have
some oxide present there.

00:20:28.930 --> 00:20:30.510 align:middle line:90%
So we can take this--

00:20:30.510 --> 00:20:33.390 align:middle line:84%
we can take this equation
and differentiate it.

00:20:33.390 --> 00:20:36.030 align:middle line:84%
And let's say we're
interested in the oxidation

00:20:36.030 --> 00:20:38.530 align:middle line:84%
rate, not the absolute
thickness versus time.

00:20:38.530 --> 00:20:39.810 align:middle line:90%
But how is the rate changing?

00:20:39.810 --> 00:20:42.780 align:middle line:90%
How fast is it growing?

00:20:42.780 --> 00:20:44.760 align:middle line:84%
Well, this is the
oxidation rate.

00:20:44.760 --> 00:20:46.320 align:middle line:84%
By differentiating,
you can see, it's

00:20:46.320 --> 00:20:50.490 align:middle line:84%
given by B divided
by this quantity,

00:20:50.490 --> 00:20:53.520 align:middle line:84%
2X0 plus A. So this
gives you an idea

00:20:53.520 --> 00:20:57.410 align:middle line:84%
of the rate, how
rapidly is it growing?

00:20:57.410 --> 00:20:59.860 align:middle line:84%
So these equations
are very general.

00:20:59.860 --> 00:21:02.760 align:middle line:84%
And what they describe as the
growth kinetics for oxidation.

00:21:02.760 --> 00:21:04.510 align:middle line:84%
When you're in these
following conditions,

00:21:04.510 --> 00:21:06.190 align:middle line:84%
we have to remind
ourselves that it only

00:21:06.190 --> 00:21:08.690 align:middle line:90%
applies for certain basic case.

00:21:08.690 --> 00:21:11.080 align:middle line:84%
So this means when
it's planar oxidation,

00:21:11.080 --> 00:21:14.198 align:middle line:84%
so I'm just oxidizing a flat
surface, we'll talk next time,

00:21:14.198 --> 00:21:16.240 align:middle line:84%
when you have a surface
that has structure on it,

00:21:16.240 --> 00:21:18.850 align:middle line:84%
the equations need
to be modified.

00:21:18.850 --> 00:21:20.740 align:middle line:84%
It's planar and
it's unpatterned.

00:21:20.740 --> 00:21:22.750 align:middle line:84%
So this is just an
unpatterned surface.

00:21:22.750 --> 00:21:25.060 align:middle line:84%
This assumes that the
silicon is lightly doped,

00:21:25.060 --> 00:21:26.500 align:middle line:90%
that you can use these numbers.

00:21:26.500 --> 00:21:29.470 align:middle line:84%
Heavily doped oxidation,
we'll talk about next time.

00:21:29.470 --> 00:21:33.880 align:middle line:84%
A simple ambient such as oxygen,
dry O2 or water, is assumed.

00:21:33.880 --> 00:21:36.430 align:middle line:84%
If you're going to add
other gases, nitrous oxide

00:21:36.430 --> 00:21:39.280 align:middle line:84%
and other things that
people do to grow high K,

00:21:39.280 --> 00:21:42.115 align:middle line:84%
these particular equations
don't apply exactly.

00:21:42.115 --> 00:21:44.800 align:middle line:90%


00:21:44.800 --> 00:21:47.980 align:middle line:84%
And these equations work when
the final oxide thickness

00:21:47.980 --> 00:21:50.290 align:middle line:84%
is larger than about
20 nanometers, about

00:21:50.290 --> 00:21:52.270 align:middle line:90%
200 angstroms.

00:21:52.270 --> 00:21:53.380 align:middle line:90%
They work quite well.

00:21:53.380 --> 00:21:57.010 align:middle line:84%
But so that's a certain
number of limitations,

00:21:57.010 --> 00:21:59.470 align:middle line:84%
still very useful because what
we're going to do from here

00:21:59.470 --> 00:22:00.707 align:middle line:90%
is now make corrections.

00:22:00.707 --> 00:22:03.040 align:middle line:84%
Right off the bat though,
when you see this 20 nanometer

00:22:03.040 --> 00:22:04.248 align:middle line:90%
number, what do you think of?

00:22:04.248 --> 00:22:06.790 align:middle line:84%
I mean, gate oxides today,
just from your reading

00:22:06.790 --> 00:22:10.630 align:middle line:84%
of the ITRS and high performance
devices, what are they?

00:22:10.630 --> 00:22:14.260 align:middle line:84%
Are they less than or
greater than 20 nanometers?

00:22:14.260 --> 00:22:16.630 align:middle line:84%
Less than,
significantly less than

00:22:16.630 --> 00:22:18.440 align:middle line:84%
for most high
performance devices.

00:22:18.440 --> 00:22:20.140 align:middle line:84%
So this tells us
off the bat, if we

00:22:20.140 --> 00:22:24.760 align:middle line:84%
want to use Deal-Grove to model
a standard gate oxide thickness

00:22:24.760 --> 00:22:27.280 align:middle line:84%
that someone might be growing
100 angstroms or less,

00:22:27.280 --> 00:22:28.610 align:middle line:90%
it's not going to be perfect.

00:22:28.610 --> 00:22:30.610 align:middle line:84%
We're going to have to
make corrections to this.

00:22:30.610 --> 00:22:35.560 align:middle line:84%
And we'll talk today about
those thin oxidation models.

00:22:35.560 --> 00:22:37.750 align:middle line:90%
But let's go on to slide 10.

00:22:37.750 --> 00:22:40.420 align:middle line:84%
And again, just to
make a different way

00:22:40.420 --> 00:22:41.980 align:middle line:84%
of looking at these
same equations,

00:22:41.980 --> 00:22:43.900 align:middle line:84%
I've repeated them
again at the top so we

00:22:43.900 --> 00:22:45.260 align:middle line:90%
don't have to memorize them.

00:22:45.260 --> 00:22:49.220 align:middle line:84%
But what we can do now is
to take two limiting cases.

00:22:49.220 --> 00:22:50.840 align:middle line:84%
One limiting case
I'm going to say

00:22:50.840 --> 00:22:53.030 align:middle line:84%
is when the oxide
is relatively thin.

00:22:53.030 --> 00:22:56.180 align:middle line:90%
So X0 is relatively small.

00:22:56.180 --> 00:22:59.000 align:middle line:84%
But it turns out this
term here, the linear term

00:22:59.000 --> 00:23:03.560 align:middle line:84%
X0 divided by B over A is
going to dominate over this X0

00:23:03.560 --> 00:23:04.100 align:middle line:90%
squared.

00:23:04.100 --> 00:23:05.970 align:middle line:84%
This is going to
become a smaller term.

00:23:05.970 --> 00:23:07.790 align:middle line:84%
So we can ignore
this first term.

00:23:07.790 --> 00:23:11.750 align:middle line:84%
And we end up that X0 is
proportional to B over A times

00:23:11.750 --> 00:23:12.810 align:middle line:90%
time.

00:23:12.810 --> 00:23:15.110 align:middle line:84%
So it's essentially,
in thin oxide,

00:23:15.110 --> 00:23:18.390 align:middle line:84%
we have the equation
is linear in time.

00:23:18.390 --> 00:23:21.400 align:middle line:84%
So it's just we have a
constant oxidation rate.

00:23:21.400 --> 00:23:23.150 align:middle line:84%
And the thickness just
increases linearly,

00:23:23.150 --> 00:23:26.200 align:middle line:84%
according to this
Deal-Grove model.

00:23:26.200 --> 00:23:28.417 align:middle line:84%
For thicker oxides--
and we'll define later

00:23:28.417 --> 00:23:30.250 align:middle line:84%
what we mean by thicker--
but at some point,

00:23:30.250 --> 00:23:32.800 align:middle line:84%
this term, this
X0 squared over B,

00:23:32.800 --> 00:23:34.840 align:middle line:84%
starts to dominate
over the linear term.

00:23:34.840 --> 00:23:36.550 align:middle line:90%
We can ignore this linear term.

00:23:36.550 --> 00:23:38.980 align:middle line:84%
For long times, where
very thick oxides,

00:23:38.980 --> 00:23:42.640 align:middle line:84%
it goes like X0 squared
is a constant times T.

00:23:42.640 --> 00:23:47.230 align:middle line:84%
So it's basically
a parabolic term.

00:23:47.230 --> 00:23:49.812 align:middle line:84%
So the oxide thickness
starts increasing

00:23:49.812 --> 00:23:51.020 align:middle line:90%
like the square root of time.

00:23:51.020 --> 00:23:52.562 align:middle line:84%
So initially, it's
going up linearly.

00:23:52.562 --> 00:23:54.350 align:middle line:84%
And then when it
becomes thick enough,

00:23:54.350 --> 00:23:57.460 align:middle line:84%
it starts increasing more like
a square root kind of function.

00:23:57.460 --> 00:23:59.350 align:middle line:84%
And at that point,
it's thick enough

00:23:59.350 --> 00:24:01.210 align:middle line:84%
that diffusion through
the oxide is really

00:24:01.210 --> 00:24:03.370 align:middle line:90%
starting to limit you.

00:24:03.370 --> 00:24:06.658 align:middle line:84%
Mathematically, if you prefer
to think mathematically,

00:24:06.658 --> 00:24:08.200 align:middle line:84%
you're going to make
yourself a plot.

00:24:08.200 --> 00:24:11.950 align:middle line:84%
This is actually a log scale,
a log plot, log on the Y,

00:24:11.950 --> 00:24:14.380 align:middle line:84%
log on the X. And it's
kind of normalized.

00:24:14.380 --> 00:24:17.950 align:middle line:84%
What is a plot of is
X0 divided by A over 2.

00:24:17.950 --> 00:24:25.510 align:middle line:84%
So we've sort of normalized the
Y-AXIS and T plus tau divided

00:24:25.510 --> 00:24:29.900 align:middle line:84%
by this constant, A squared
over 4B to make it in unitless.

00:24:29.900 --> 00:24:33.030 align:middle line:84%
And what you see,
this solid line here

00:24:33.030 --> 00:24:39.330 align:middle line:84%
is equal to a plot of X0
squared plus AX0 equals B times

00:24:39.330 --> 00:24:41.260 align:middle line:90%
tau time T plus tau.

00:24:41.260 --> 00:24:43.170 align:middle line:84%
So that's the exact
Deal-Grove model.

00:24:43.170 --> 00:24:46.590 align:middle line:84%
At short time, you can
see it approaches or low

00:24:46.590 --> 00:24:49.710 align:middle line:84%
thicknesses it approaches
this linear, rate

00:24:49.710 --> 00:24:51.870 align:middle line:90%
constant, this linear equation.

00:24:51.870 --> 00:24:54.930 align:middle line:84%
Remember, on a semi-log plot,
this has a certain slope.

00:24:54.930 --> 00:24:58.830 align:middle line:84%
And then for longer times,
much higher thicknesses,

00:24:58.830 --> 00:25:00.900 align:middle line:84%
it approaches a straight
line, this dashed line

00:25:00.900 --> 00:25:02.130 align:middle line:90%
that has half the slope.

00:25:02.130 --> 00:25:06.707 align:middle line:84%
Again, linear here versus
square root has half the slope.

00:25:06.707 --> 00:25:08.040 align:middle line:90%
Different way of looking at it--

00:25:08.040 --> 00:25:09.810 align:middle line:84%
I actually like you to think
a little more physically,

00:25:09.810 --> 00:25:12.210 align:middle line:84%
not just look at the equations
and say, which term is big

00:25:12.210 --> 00:25:13.650 align:middle line:90%
and which is small?

00:25:13.650 --> 00:25:16.350 align:middle line:84%
In fact, it's much easier to
remember the limiting cases

00:25:16.350 --> 00:25:18.030 align:middle line:90%
in a physical sense.

00:25:18.030 --> 00:25:21.850 align:middle line:84%
And that's what's being
shown on slide 11.

00:25:21.850 --> 00:25:24.630 align:middle line:84%
So if you look at the
case of a thin oxide,

00:25:24.630 --> 00:25:28.770 align:middle line:84%
it's relatively thin, what's
happening is physically,

00:25:28.770 --> 00:25:29.430 align:middle line:90%
is diffusion.

00:25:29.430 --> 00:25:31.410 align:middle line:84%
This is so thin, the
diffusion process

00:25:31.410 --> 00:25:34.560 align:middle line:84%
happens very rapidly compared
to the rate at which those atoms

00:25:34.560 --> 00:25:36.130 align:middle line:90%
can react at the surface.

00:25:36.130 --> 00:25:39.270 align:middle line:84%
So when it's thin, the surface
reaction is what limits.

00:25:39.270 --> 00:25:41.430 align:middle line:90%
It's the slowest step.

00:25:41.430 --> 00:25:43.260 align:middle line:84%
Any of these serial
processes always

00:25:43.260 --> 00:25:45.330 align:middle line:84%
end up being limited
by the rate limiting

00:25:45.330 --> 00:25:46.960 align:middle line:90%
step is the slowest step.

00:25:46.960 --> 00:25:49.470 align:middle line:84%
So clearly, when you're thin,
getting through the oxide

00:25:49.470 --> 00:25:51.060 align:middle line:90%
takes no time at all.

00:25:51.060 --> 00:25:54.240 align:middle line:84%
What's limiting you is the
rate at which you can react.

00:25:54.240 --> 00:25:57.730 align:middle line:84%
And we know that is
a linear process.

00:25:57.730 --> 00:26:01.820 align:middle line:84%
It just depends on
K sub S. Now let's

00:26:01.820 --> 00:26:04.730 align:middle line:84%
say when you're thick, if
you have a thick oxide,

00:26:04.730 --> 00:26:09.380 align:middle line:84%
well, then the diffusion process
is what's rate limiting you.

00:26:09.380 --> 00:26:12.500 align:middle line:84%
The reaction at the surface
can be relatively fast

00:26:12.500 --> 00:26:14.960 align:middle line:90%
compared to the diffusion rate.

00:26:14.960 --> 00:26:16.740 align:middle line:90%
So diffusion is rate limited.

00:26:16.740 --> 00:26:20.960 align:middle line:84%
And that process
ends up depending--

00:26:20.960 --> 00:26:25.820 align:middle line:84%
has a square root type
dependence on time.

00:26:25.820 --> 00:26:30.050 align:middle line:84%
So in both cases though, and
just for these little diagrams

00:26:30.050 --> 00:26:32.600 align:middle line:84%
I drew, C star, remember,
is the solubility

00:26:32.600 --> 00:26:33.990 align:middle line:90%
of the oxidant and the oxide.

00:26:33.990 --> 00:26:37.310 align:middle line:84%
So in the thin case, you
diffuse very rapidly through.

00:26:37.310 --> 00:26:41.270 align:middle line:84%
You have almost no
gradient in the oxide.

00:26:41.270 --> 00:26:43.710 align:middle line:84%
You're getting through very
rapidly just by virtue of it

00:26:43.710 --> 00:26:44.480 align:middle line:90%
so thin.

00:26:44.480 --> 00:26:48.070 align:middle line:84%
In a thick case, C
star is a solubility.

00:26:48.070 --> 00:26:50.010 align:middle line:84%
That's what you
have at the surface.

00:26:50.010 --> 00:26:52.743 align:middle line:84%
At the interface,
it's almost going to 0

00:26:52.743 --> 00:26:54.660 align:middle line:84%
because again, you're
rate limited by the rate

00:26:54.660 --> 00:26:55.830 align:middle line:90%
of diffusion.

00:26:55.830 --> 00:26:57.870 align:middle line:90%
You have a large gradient.

00:26:57.870 --> 00:27:00.300 align:middle line:84%
So this flux
through the oxide is

00:27:00.300 --> 00:27:03.330 align:middle line:90%
being driven by this gradient.

00:27:03.330 --> 00:27:04.830 align:middle line:84%
So those are the
two limiting cases.

00:27:04.830 --> 00:27:06.450 align:middle line:90%
One depends on diffusion.

00:27:06.450 --> 00:27:08.385 align:middle line:84%
The other is limited
by surface reaction.

00:27:08.385 --> 00:27:12.120 align:middle line:90%


00:27:12.120 --> 00:27:13.980 align:middle line:84%
Slide 12 is just
a little example

00:27:13.980 --> 00:27:16.710 align:middle line:84%
of if you're an experimentalist,
how do you sit down?

00:27:16.710 --> 00:27:18.850 align:middle line:84%
And how do people in the
old days used to do this?

00:27:18.850 --> 00:27:20.610 align:middle line:84%
Well, it's pretty
simple, experimentally.

00:27:20.610 --> 00:27:25.537 align:middle line:84%
You just oxidize a bunch of
wafers at the same temperature

00:27:25.537 --> 00:27:26.370 align:middle line:90%
for different times.

00:27:26.370 --> 00:27:29.288 align:middle line:84%
And you plot the oxide
thickness measured versus time.

00:27:29.288 --> 00:27:31.080 align:middle line:84%
You'll see this linear
dependence at first.

00:27:31.080 --> 00:27:33.455 align:middle line:84%
And then it'll start to bend
over where it's square root.

00:27:33.455 --> 00:27:37.380 align:middle line:84%
Easy way to do it is to
plot X instead off X0

00:27:37.380 --> 00:27:41.040 align:middle line:84%
instead as a function of time,
but T time divided by X0.

00:27:41.040 --> 00:27:44.160 align:middle line:84%
And you'll find out that the
slope, if you just manipulate

00:27:44.160 --> 00:27:47.130 align:middle line:84%
those simple linear equations,
the slope is the parameter B.

00:27:47.130 --> 00:27:49.620 align:middle line:84%
And the y-intercept is
the parameter minus A.

00:27:49.620 --> 00:27:52.680 align:middle line:84%
So for the Deal-Grove model,
it's very simple experimentally

00:27:52.680 --> 00:27:56.610 align:middle line:84%
if you do this kind of plot to
extract those two parameters.

00:27:56.610 --> 00:27:59.740 align:middle line:90%


00:27:59.740 --> 00:28:02.710 align:middle line:84%
These are some
actual calculations

00:28:02.710 --> 00:28:06.280 align:middle line:84%
of the oxidation rates
in dry on slide 13

00:28:06.280 --> 00:28:10.780 align:middle line:84%
and dry oxygen using
the Deal-Grove model.

00:28:10.780 --> 00:28:12.640 align:middle line:90%
This is for 100 silicon now.

00:28:12.640 --> 00:28:14.470 align:middle line:84%
So 100 silicon is
much more likely

00:28:14.470 --> 00:28:17.860 align:middle line:84%
what you're going to be using in
a silicon manufacturing process

00:28:17.860 --> 00:28:19.400 align:middle line:90%
or probably in your research.

00:28:19.400 --> 00:28:23.350 align:middle line:84%
So it's a plot on the left axis
linear scale oxide thickness

00:28:23.350 --> 00:28:25.610 align:middle line:90%
as a function of time.

00:28:25.610 --> 00:28:28.870 align:middle line:84%
And what you do see is
a linear regime here,

00:28:28.870 --> 00:28:34.930 align:middle line:84%
say, when you're at thin oxide,
say below 0.1 microns or maybe

00:28:34.930 --> 00:28:38.660 align:middle line:84%
half of that, 500 angstroms,
the lines look quite linear.

00:28:38.660 --> 00:28:40.360 align:middle line:84%
And then they
start bending over.

00:28:40.360 --> 00:28:43.600 align:middle line:84%
So they're followed by this
sort of parabolic behavior

00:28:43.600 --> 00:28:46.730 align:middle line:90%
where they grow less rapidly.

00:28:46.730 --> 00:28:49.270 align:middle line:84%
And you can also see,
look at the thicknesses,

00:28:49.270 --> 00:28:50.320 align:middle line:90%
as we mentioned before.

00:28:50.320 --> 00:28:53.500 align:middle line:84%
Dry oxides, even at high
temperatures of 1,100, which

00:28:53.500 --> 00:28:55.570 align:middle line:90%
is quite high for a furnace.

00:28:55.570 --> 00:28:56.590 align:middle line:90%
You're really limited.

00:28:56.590 --> 00:28:58.210 align:middle line:84%
For practical times,
you don't want

00:28:58.210 --> 00:29:00.010 align:middle line:84%
to be leaving the
wafers in there

00:29:00.010 --> 00:29:03.298 align:middle line:84%
any more than a few hours, four
hours, six hours, whatever.

00:29:03.298 --> 00:29:04.840 align:middle line:84%
You're limited to
things on the order

00:29:04.840 --> 00:29:08.410 align:middle line:84%
of 1,000 to 2,000 angstroms,
from a practical point of view,

00:29:08.410 --> 00:29:11.080 align:middle line:90%
where people grow dry oxides.

00:29:11.080 --> 00:29:13.330 align:middle line:84%
Of course, you could leave
it in the furnace for days.

00:29:13.330 --> 00:29:15.360 align:middle line:84%
But that's not very
economical in terms

00:29:15.360 --> 00:29:17.110 align:middle line:84%
of use of the furnace,
use of electricity,

00:29:17.110 --> 00:29:18.260 align:middle line:90%
and all the resources.

00:29:18.260 --> 00:29:21.130 align:middle line:84%
So if you want to grow an
oxide in this thickness range,

00:29:21.130 --> 00:29:22.030 align:middle line:90%
you use a dry oxide.

00:29:22.030 --> 00:29:23.740 align:middle line:84%
If you want to go
well above that,

00:29:23.740 --> 00:29:25.900 align:middle line:84%
you should be going
to wet oxidation

00:29:25.900 --> 00:29:30.490 align:middle line:84%
because the oxidation rate
constants are so much higher.

00:29:30.490 --> 00:29:33.210 align:middle line:84%
In fact, on the next
slide, slide 14,

00:29:33.210 --> 00:29:40.830 align:middle line:84%
you can see the oxide thickness
versus time for wet ambient,

00:29:40.830 --> 00:29:43.110 align:middle line:84%
for moisture ambient
using Deal-Grove.

00:29:43.110 --> 00:29:46.260 align:middle line:84%
And now, look at the time
of say two or three hours,

00:29:46.260 --> 00:29:49.455 align:middle line:84%
instead of growing
1,000 angstroms or so,

00:29:49.455 --> 00:29:53.470 align:middle line:84%
at 1,100 degrees, you're
growing micron here.

00:29:53.470 --> 00:29:58.240 align:middle line:84%
After about two hours at 1,100
degrees in wet ambient, about

00:29:58.240 --> 00:30:01.720 align:middle line:84%
a micron, so much faster
than dry oxidation,

00:30:01.720 --> 00:30:04.150 align:middle line:90%
orders of magnitude faster.

00:30:04.150 --> 00:30:07.750 align:middle line:84%
And as it turns out,
the physical reason why

00:30:07.750 --> 00:30:12.070 align:middle line:84%
is that the solubility,
C star, of water vapor

00:30:12.070 --> 00:30:14.950 align:middle line:84%
is much higher than the
solubility of oxygen,

00:30:14.950 --> 00:30:17.348 align:middle line:84%
of the oxygen molecule,
for various reasons.

00:30:17.348 --> 00:30:19.390 align:middle line:84%
Just because of the
configuration of the molecule

00:30:19.390 --> 00:30:21.220 align:middle line:84%
and the size of the
interstitial spaces,

00:30:21.220 --> 00:30:23.750 align:middle line:84%
water vapor is just
easier to get in there.

00:30:23.750 --> 00:30:25.430 align:middle line:84%
So it has a much
higher solubility.

00:30:25.430 --> 00:30:28.900 align:middle line:84%
So that whole concentration
can be elevated,

00:30:28.900 --> 00:30:32.510 align:middle line:84%
and you can oxidize it
at a much faster rate.

00:30:32.510 --> 00:30:35.080 align:middle line:84%
So if you need a thick
oxide, you use moisture.

00:30:35.080 --> 00:30:37.790 align:middle line:90%


00:30:37.790 --> 00:30:38.900 align:middle line:90%
Yeah, question.

00:30:38.900 --> 00:30:43.190 align:middle line:84%
STUDENT: When B of K is given,
so all of the other side,

00:30:43.190 --> 00:30:44.870 align:middle line:84%
where is the oxide
that doesn't react?

00:30:44.870 --> 00:30:46.820 align:middle line:90%
What would it be then?

00:30:46.820 --> 00:30:49.190 align:middle line:84%
JUDY HOYT: OK, so the
question is going back to,

00:30:49.190 --> 00:30:53.750 align:middle line:84%
let's say, slide 11 maybe
of these limiting cases.

00:30:53.750 --> 00:30:57.170 align:middle line:84%
What happens in a real case, if
you have an oxidant diffusing

00:30:57.170 --> 00:30:58.040 align:middle line:90%
through the oxide?

00:30:58.040 --> 00:31:00.140 align:middle line:90%
And does it all react?

00:31:00.140 --> 00:31:04.040 align:middle line:84%
Is there any unreactant
species at the interface?

00:31:04.040 --> 00:31:07.310 align:middle line:84%
Basically, it does
have to react.

00:31:07.310 --> 00:31:12.500 align:middle line:84%
And then if the reaction
rate is what's limiting you,

00:31:12.500 --> 00:31:14.300 align:middle line:84%
then you're sort
of in this regime.

00:31:14.300 --> 00:31:17.420 align:middle line:84%
But there will be a
certain amount of oxidant

00:31:17.420 --> 00:31:19.280 align:middle line:90%
that doesn't react.

00:31:19.280 --> 00:31:23.870 align:middle line:84%
And that can lead to perhaps
excess charges and things

00:31:23.870 --> 00:31:26.750 align:middle line:84%
like that, some of the
more realistic aspects

00:31:26.750 --> 00:31:30.210 align:middle line:84%
of the oxidation process
that you're left over.

00:31:30.210 --> 00:31:35.390 align:middle line:84%
So it can affect the quality of
the oxide, to a certain extent.

00:31:35.390 --> 00:31:39.162 align:middle line:84%
And what you generally
find is that wet oxides--

00:31:39.162 --> 00:31:40.620 align:middle line:84%
you don't see a
whole lot of people

00:31:40.620 --> 00:31:42.060 align:middle line:90%
growing gate oxides by wet.

00:31:42.060 --> 00:31:43.530 align:middle line:90%
Well, because they want thinner.

00:31:43.530 --> 00:31:46.950 align:middle line:84%
But even in the old days,
when a gate oxide was thicker,

00:31:46.950 --> 00:31:49.410 align:middle line:84%
500 angstroms or whatever,
you didn't see people

00:31:49.410 --> 00:31:51.600 align:middle line:90%
growing them in a wet ambient.

00:31:51.600 --> 00:31:54.010 align:middle line:84%
And the oxidation
rate is a lot faster.

00:31:54.010 --> 00:31:55.650 align:middle line:84%
The quality of the
oxide, the number

00:31:55.650 --> 00:31:57.358 align:middle line:84%
of interface states
and things like that,

00:31:57.358 --> 00:31:59.370 align:middle line:84%
tends to be higher
for a wet oxide.

00:31:59.370 --> 00:32:02.850 align:middle line:84%
So typically, what
you do if you're

00:32:02.850 --> 00:32:04.860 align:middle line:84%
trying to grow a gate
oxide, is you grow it dry.

00:32:04.860 --> 00:32:07.920 align:middle line:84%
Or if you want to
make it thick, and you

00:32:07.920 --> 00:32:10.560 align:middle line:84%
have practical limitations, you
grow a dry step, a wet step,

00:32:10.560 --> 00:32:11.910 align:middle line:90%
and then a dry step at the end.

00:32:11.910 --> 00:32:14.310 align:middle line:84%
So the interface was
always grown in a dry step

00:32:14.310 --> 00:32:17.800 align:middle line:84%
to try to reduce the
interface state density.

00:32:17.800 --> 00:32:20.460 align:middle line:84%
So if you need a gate
oxide that's 1000 angstrom,

00:32:20.460 --> 00:32:23.070 align:middle line:84%
you do what they
call a dry-wet-dry.

00:32:23.070 --> 00:32:25.620 align:middle line:84%
So it does matter if the
oxidation rate-- being too high

00:32:25.620 --> 00:32:29.010 align:middle line:84%
is not the greatest thing in
the world in terms of the device

00:32:29.010 --> 00:32:30.168 align:middle line:90%
properties.

00:32:30.168 --> 00:32:31.710 align:middle line:84%
I think was there
a hand in the back?

00:32:31.710 --> 00:32:33.360 align:middle line:90%
Or did I miss a question?

00:32:33.360 --> 00:32:34.990 align:middle line:90%
OK.

00:32:34.990 --> 00:32:35.490 align:middle line:90%
OK.

00:32:35.490 --> 00:32:37.420 align:middle line:90%
Good.

00:32:37.420 --> 00:32:39.120 align:middle line:84%
So those are the
wet oxide kinetics.

00:32:39.120 --> 00:32:43.560 align:middle line:84%
Let's go on to slide number 15
and just show some examples.

00:32:43.560 --> 00:32:46.410 align:middle line:84%
Now right off the
bat, I'm unfortunately

00:32:46.410 --> 00:32:49.740 align:middle line:84%
showing an example to which
the Deal-Grove model doesn't

00:32:49.740 --> 00:32:50.490 align:middle line:90%
perfectly apply.

00:32:50.490 --> 00:32:51.630 align:middle line:90%
But we'll apply it anyway.

00:32:51.630 --> 00:32:54.180 align:middle line:84%
And next time, we'll talk
about why it's not perfect.

00:32:54.180 --> 00:32:57.345 align:middle line:90%
But there is a process called--

00:32:57.345 --> 00:32:59.220 align:middle line:84%
just to make this a
little more interesting--

00:32:59.220 --> 00:33:02.800 align:middle line:84%
called recessed LOCOS
local oxidation,

00:33:02.800 --> 00:33:05.100 align:middle line:84%
which can be used to provide
this lateral isolation

00:33:05.100 --> 00:33:08.850 align:middle line:90%
between a device A and device B.

00:33:08.850 --> 00:33:11.340 align:middle line:90%
We need to grow an oxide here.

00:33:11.340 --> 00:33:15.000 align:middle line:84%
And it results in a more planar
surface than standard LOCOS.

00:33:15.000 --> 00:33:18.810 align:middle line:84%
Remember, standard
LOCOS look like this.

00:33:18.810 --> 00:33:21.000 align:middle line:84%
When we're done,
and you strip off

00:33:21.000 --> 00:33:22.630 align:middle line:84%
this nitride up in
the upper right,

00:33:22.630 --> 00:33:26.400 align:middle line:84%
you have a very non
planar surface introduced.

00:33:26.400 --> 00:33:30.480 align:middle line:84%
You've got this region up here,
where the oxide pushed up.

00:33:30.480 --> 00:33:32.550 align:middle line:84%
And so the surface
is not very planar.

00:33:32.550 --> 00:33:34.800 align:middle line:84%
Recessed LOCOS, so
that's the basic idea

00:33:34.800 --> 00:33:36.900 align:middle line:90%
is you etch a trench first.

00:33:36.900 --> 00:33:39.720 align:middle line:84%
So here, I've etched
in the silicon.

00:33:39.720 --> 00:33:42.630 align:middle line:84%
Around the silicon nitride,
I've etched a half micron

00:33:42.630 --> 00:33:44.550 align:middle line:90%
deep trench.

00:33:44.550 --> 00:33:47.520 align:middle line:84%
And now, we assume I'm
going to subject that wafer

00:33:47.520 --> 00:33:48.730 align:middle line:90%
to thermal oxidation.

00:33:48.730 --> 00:33:52.440 align:middle line:84%
Well, on the left and the
right side of the trench,

00:33:52.440 --> 00:33:54.960 align:middle line:90%
that should say silicon nitride.

00:33:54.960 --> 00:33:57.810 align:middle line:84%
Sorry, this left and right side
should both be silicon nitride.

00:33:57.810 --> 00:34:00.010 align:middle line:84%
There's no oxidation
taking place.

00:34:00.010 --> 00:34:02.310 align:middle line:84%
So maybe correct this
handout on the right, where

00:34:02.310 --> 00:34:04.320 align:middle line:84%
it's pointing to
SiO2, that should

00:34:04.320 --> 00:34:08.790 align:middle line:90%
say silicon nitride, Si3N4.

00:34:08.790 --> 00:34:11.250 align:middle line:84%
So we're only oxidizing,
we're assuming,

00:34:11.250 --> 00:34:13.500 align:middle line:90%
in this trench region.

00:34:13.500 --> 00:34:16.080 align:middle line:84%
Now, this schematic
is highly schematic.

00:34:16.080 --> 00:34:18.010 align:middle line:84%
It's not including any
bird's beak effects,

00:34:18.010 --> 00:34:20.135 align:middle line:84%
which we'll talk about
where they originate from,

00:34:20.135 --> 00:34:21.510 align:middle line:84%
or any two-dimensional
oxidation.

00:34:21.510 --> 00:34:23.802 align:middle line:84%
We're going to do a very
simple calculation of how long

00:34:23.802 --> 00:34:28.110 align:middle line:84%
would it take to fill that
to make a planar surface,

00:34:28.110 --> 00:34:30.750 align:middle line:90%
assuming I was half micron down.

00:34:30.750 --> 00:34:31.770 align:middle line:90%
Yeah.

00:34:31.770 --> 00:34:35.788 align:middle line:84%
STUDENT: After doing
that, will it [INAUDIBLE]

00:34:35.788 --> 00:34:37.080 align:middle line:90%
JUDY HOYT: There is in between.

00:34:37.080 --> 00:34:39.710 align:middle line:84%
Yeah, it's just the
arrow got displaced.

00:34:39.710 --> 00:34:41.820 align:middle line:84%
This arrow is actually
pointing to the top region,

00:34:41.820 --> 00:34:43.130 align:middle line:90%
which is the silicon nitride.

00:34:43.130 --> 00:34:46.400 align:middle line:84%
There is, as was just pointed
out by someone in the class

00:34:46.400 --> 00:34:48.860 align:middle line:84%
here, this hatched
region is meant

00:34:48.860 --> 00:34:53.510 align:middle line:84%
to represent the SiO2, what
they call the Pad Ox, or the pad

00:34:53.510 --> 00:34:56.880 align:middle line:84%
oxide, and if it was stressed,
that's induced by the nitride.

00:34:56.880 --> 00:34:58.730 align:middle line:84%
So there is, in fact,
a thin pad oxide

00:34:58.730 --> 00:35:00.710 align:middle line:90%
underneath the silicon nitride.

00:35:00.710 --> 00:35:04.130 align:middle line:84%
But what's preventing the
oxidation from taking place

00:35:04.130 --> 00:35:06.080 align:middle line:90%
is this silicon nitride.

00:35:06.080 --> 00:35:08.270 align:middle line:84%
SiO2 itself won't
prevent oxidation.

00:35:08.270 --> 00:35:11.100 align:middle line:84%
The oxidant will diffuse
right through it.

00:35:11.100 --> 00:35:12.650 align:middle line:84%
The nice thing about
silicon nitride

00:35:12.650 --> 00:35:17.070 align:middle line:84%
is that it's hard to get
oxygen and moisture to diffuse

00:35:17.070 --> 00:35:17.570 align:middle line:90%
through it.

00:35:17.570 --> 00:35:20.660 align:middle line:84%
So it can act as a mask
or as a blocking layer.

00:35:20.660 --> 00:35:24.125 align:middle line:84%
So you don't oxidize
underneath it, the first word.

00:35:24.125 --> 00:35:26.000 align:middle line:84%
So this oxide that's
shown here underneath it

00:35:26.000 --> 00:35:29.360 align:middle line:84%
happened before the
nitride was put down.

00:35:29.360 --> 00:35:31.680 align:middle line:90%
OK, good point.

00:35:31.680 --> 00:35:33.560 align:middle line:90%
So let's go on to slide 15.

00:35:33.560 --> 00:35:36.920 align:middle line:84%
And here's just an
example of a question.

00:35:36.920 --> 00:35:39.640 align:middle line:84%
So we're assuming we've etched
half micron down into the wafer

00:35:39.640 --> 00:35:43.390 align:middle line:84%
below the original surface
prior to oxidizing.

00:35:43.390 --> 00:35:46.030 align:middle line:84%
And a simple question
might be, how long do I

00:35:46.030 --> 00:35:49.120 align:middle line:84%
have to put it in the
furnace at 1,000 degrees,

00:35:49.120 --> 00:35:55.480 align:middle line:84%
assuming water oxidation in H2O
to produce a planar surface?

00:35:55.480 --> 00:35:58.060 align:middle line:84%
Again, we're going to ignore
any of the bird's beak effects

00:35:58.060 --> 00:36:00.190 align:middle line:84%
or the stress effects
that we know are there.

00:36:00.190 --> 00:36:01.690 align:middle line:84%
We'll talk about
those next time.

00:36:01.690 --> 00:36:04.180 align:middle line:84%
So but just to make it a
little more interesting,

00:36:04.180 --> 00:36:07.390 align:middle line:84%
we want to fill this up to the
surface, the original surface,

00:36:07.390 --> 00:36:10.402 align:middle line:90%
and then make it planar.

00:36:10.402 --> 00:36:12.360 align:middle line:84%
So we have to be a little
careful in doing this

00:36:12.360 --> 00:36:15.900 align:middle line:84%
because remember, as I'm
growing this oxide right here,

00:36:15.900 --> 00:36:17.640 align:middle line:84%
I'm consuming the
silicon underneath it.

00:36:17.640 --> 00:36:20.160 align:middle line:84%
So you're consuming
silicon underneath it.

00:36:20.160 --> 00:36:22.420 align:middle line:84%
But the oxide is also
growing up at the same time.

00:36:22.420 --> 00:36:24.190 align:middle line:84%
So it's kind of starting
here, very thin.

00:36:24.190 --> 00:36:25.830 align:middle line:84%
And it's kind of
going like this.

00:36:25.830 --> 00:36:28.830 align:middle line:84%
At some point, it will
be just flat or close

00:36:28.830 --> 00:36:32.650 align:middle line:84%
to being almost flat with
the original surface.

00:36:32.650 --> 00:36:34.090 align:middle line:90%
So how do we figure this out?

00:36:34.090 --> 00:36:38.100 align:middle line:84%
Well, you make yourself a
little schematic diagram

00:36:38.100 --> 00:36:40.740 align:middle line:84%
as shown here in color
in the lower left.

00:36:40.740 --> 00:36:43.680 align:middle line:84%
And in a rough sense,
for every micron

00:36:43.680 --> 00:36:46.320 align:middle line:84%
of silicon I consume-- so
as you start oxidizing,

00:36:46.320 --> 00:36:49.260 align:middle line:84%
I'm going to start bringing
this trench point lower.

00:36:49.260 --> 00:36:53.310 align:middle line:84%
Every micron I go down,
2 and 1/2 microns,

00:36:53.310 --> 00:36:55.770 align:middle line:84%
or 2.2., I'm sorry,
microns of silicon

00:36:55.770 --> 00:36:59.550 align:middle line:84%
is grown, of silicon
dioxide, SiO2.

00:36:59.550 --> 00:37:03.540 align:middle line:84%
So you can write
this mathematically.

00:37:03.540 --> 00:37:06.990 align:middle line:84%
If I say Y is the thickness of
the silicon that was consumed,

00:37:06.990 --> 00:37:09.730 align:middle line:90%
then 2.2 times Y is X0.

00:37:09.730 --> 00:37:12.790 align:middle line:84%
That's the thickness
of the SiO2.

00:37:12.790 --> 00:37:16.480 align:middle line:84%
So that's just due to the volume
expansion when you grow oxide.

00:37:16.480 --> 00:37:19.840 align:middle line:84%
So we can have that
as one equation that

00:37:19.840 --> 00:37:22.890 align:middle line:90%
describes what's going on.

00:37:22.890 --> 00:37:26.910 align:middle line:84%
Slide 17, so we
remember that equation.

00:37:26.910 --> 00:37:31.890 align:middle line:84%
But then we also know that the
total thickness of oxide grown,

00:37:31.890 --> 00:37:33.720 align:middle line:84%
in order to satisfy
this requirement

00:37:33.720 --> 00:37:38.400 align:middle line:84%
that we fill the trench, well,
we want to a specific case

00:37:38.400 --> 00:37:43.200 align:middle line:84%
where X0 is equal to 1/2 micron,
which is the original trench

00:37:43.200 --> 00:37:46.960 align:middle line:84%
depth, plus Y, which is the
thickness of silicon consumed.

00:37:46.960 --> 00:37:50.010 align:middle line:84%
So by looking at this
geometry, so the distance

00:37:50.010 --> 00:37:51.630 align:middle line:84%
from here to here
is half micron.

00:37:51.630 --> 00:37:52.980 align:middle line:90%
That was my original trench.

00:37:52.980 --> 00:37:56.035 align:middle line:84%
Plus the silicon is going to
get consumed down a little bit.

00:37:56.035 --> 00:37:57.660 align:middle line:84%
And that, we're
calling the variable Y.

00:37:57.660 --> 00:37:58.950 align:middle line:90%
We don't know that number yet.

00:37:58.950 --> 00:38:02.570 align:middle line:90%
So we have two equations here.

00:38:02.570 --> 00:38:05.390 align:middle line:84%
This X0 equals
0.5 micron plus Y.

00:38:05.390 --> 00:38:09.608 align:middle line:84%
And we also have the constraint
that 2.2 times Y is X0.

00:38:09.608 --> 00:38:11.900 align:middle line:84%
And that's just from the
volume expansion that we know.

00:38:11.900 --> 00:38:15.270 align:middle line:84%
So if we can simply now just
equate these two equations,

00:38:15.270 --> 00:38:16.700 align:middle line:90%
we have two equations.

00:38:16.700 --> 00:38:20.330 align:middle line:84%
And we're going to
set X0 in equation 1

00:38:20.330 --> 00:38:22.280 align:middle line:90%
equal to X0 in equation 2.

00:38:22.280 --> 00:38:24.560 align:middle line:84%
And then you can
simply solve for Y.

00:38:24.560 --> 00:38:26.960 align:middle line:84%
So Y turns out to
be about 0.4 micron.

00:38:26.960 --> 00:38:29.720 align:middle line:84%
So that says, we need to
consume about 0.4 microns

00:38:29.720 --> 00:38:33.900 align:middle line:84%
in order to just fill the trench
up to the original surface.

00:38:33.900 --> 00:38:36.170 align:middle line:84%
So I'm going to
actually go down here.

00:38:36.170 --> 00:38:37.880 align:middle line:84%
From the original
trench depth, I'm

00:38:37.880 --> 00:38:41.270 align:middle line:84%
actually going to consume 0.4
microns down into the wafer.

00:38:41.270 --> 00:38:45.500 align:middle line:84%
So X0, then the oxide thickness
must be 2.2 times that.

00:38:45.500 --> 00:38:47.292 align:middle line:90%
So it's about 0.9 microns.

00:38:47.292 --> 00:38:48.500 align:middle line:90%
So we really have the answer.

00:38:48.500 --> 00:38:53.180 align:middle line:84%
We know we need to grow at
1,000 degrees, 0.9 microns.

00:38:53.180 --> 00:38:55.490 align:middle line:84%
We were told we can do
it in a wet ambient.

00:38:55.490 --> 00:38:58.610 align:middle line:84%
So you can calculate B and
B over A using the table

00:38:58.610 --> 00:39:02.330 align:middle line:90%
in table 6.2 of your text.

00:39:02.330 --> 00:39:05.300 align:middle line:84%
So you know this is the
Deal-Grove equation.

00:39:05.300 --> 00:39:08.180 align:middle line:84%
You can just calculate B and B
over A and solve for the time.

00:39:08.180 --> 00:39:10.290 align:middle line:84%
Or if you want to go,
on the next slide,

00:39:10.290 --> 00:39:13.350 align:middle line:90%
I'll show you use the graph.

00:39:13.350 --> 00:39:16.550 align:middle line:84%
So on slide 18, these are just
the oxidation kinetics or oxide

00:39:16.550 --> 00:39:19.880 align:middle line:84%
thickness versus time
in a wet ambient.

00:39:19.880 --> 00:39:22.200 align:middle line:84%
And I was told we
were at 1,000 degrees.

00:39:22.200 --> 00:39:24.870 align:middle line:90%
So that's this line right here.

00:39:24.870 --> 00:39:27.390 align:middle line:84%
And we know we need
to grow a 0.9 microns.

00:39:27.390 --> 00:39:29.960 align:middle line:84%
So that's this black
line, horizontal line.

00:39:29.960 --> 00:39:31.730 align:middle line:90%
And you can get it roughly here.

00:39:31.730 --> 00:39:35.120 align:middle line:84%
It's just 3.8 or so hours,
depending on how accurately you

00:39:35.120 --> 00:39:36.790 align:middle line:90%
can read off the plot.

00:39:36.790 --> 00:39:38.540 align:middle line:84%
If you want to get a
little more accurate,

00:39:38.540 --> 00:39:40.070 align:middle line:84%
you go ahead and
calculate B and B

00:39:40.070 --> 00:39:41.743 align:middle line:90%
over A and plug in the equation.

00:39:41.743 --> 00:39:43.160 align:middle line:84%
But you can always
check the plot.

00:39:43.160 --> 00:39:44.870 align:middle line:84%
That way, you have
a sanity check

00:39:44.870 --> 00:39:47.720 align:middle line:84%
that you made didn't make
some calculator mistake

00:39:47.720 --> 00:39:50.660 align:middle line:90%
or type in the wrong number.

00:39:50.660 --> 00:39:53.810 align:middle line:84%
So that seems like
a reasonable example

00:39:53.810 --> 00:39:57.550 align:middle line:84%
of how you would do
a simple calculation.

00:39:57.550 --> 00:39:59.410 align:middle line:90%
So let's go on now to slide 19.

00:39:59.410 --> 00:40:01.350 align:middle line:90%
So that was a Deal-Grove model.

00:40:01.350 --> 00:40:05.290 align:middle line:84%
Immediately, at the same time
Deal and Grove published it,

00:40:05.290 --> 00:40:08.130 align:middle line:84%
they realized that there was a
major problem with the model,

00:40:08.130 --> 00:40:10.560 align:middle line:90%
even when it was first proposed.

00:40:10.560 --> 00:40:13.860 align:middle line:84%
It doesn't correctly model what
they knew to be the thin oxide

00:40:13.860 --> 00:40:15.010 align:middle line:90%
growth kinetics.

00:40:15.010 --> 00:40:16.660 align:middle line:84%
And you can see
that in this plot.

00:40:16.660 --> 00:40:21.060 align:middle line:84%
This is a plot I took out of
Andy Grove's book published

00:40:21.060 --> 00:40:23.700 align:middle line:84%
quite some time ago,
but still a famous book,

00:40:23.700 --> 00:40:28.560 align:middle line:84%
oxide thickness in microns
as a function of time.

00:40:28.560 --> 00:40:33.280 align:middle line:84%
This was for dry oxide grown
at 700, very low temperature.

00:40:33.280 --> 00:40:36.210 align:middle line:84%
And these little bullets
or these open symbols

00:40:36.210 --> 00:40:39.360 align:middle line:84%
are what they measured
as the oxide thickness.

00:40:39.360 --> 00:40:45.360 align:middle line:84%
And, in fact, what they
noticed is that the model

00:40:45.360 --> 00:40:49.320 align:middle line:84%
itself, which would
be in this range,

00:40:49.320 --> 00:40:52.920 align:middle line:84%
the dry oxides grow much
faster for thicknesses

00:40:52.920 --> 00:40:57.670 align:middle line:84%
below about 20 nanometers,
or 0.02 microns,

00:40:57.670 --> 00:41:02.660 align:middle line:84%
than predicted by the
linear parabolic model.

00:41:02.660 --> 00:41:05.380 align:middle line:84%
So the linear parabolic
model would have had them

00:41:05.380 --> 00:41:06.520 align:middle line:90%
sort of going like this.

00:41:06.520 --> 00:41:09.470 align:middle line:84%
And here, these oxides are
already going up much faster.

00:41:09.470 --> 00:41:12.170 align:middle line:84%
So there's a rapid
initial oxidation phase,

00:41:12.170 --> 00:41:13.780 align:middle line:84%
which does not take
into account when

00:41:13.780 --> 00:41:15.822 align:middle line:84%
you have a linear model
in the beginning and then

00:41:15.822 --> 00:41:17.000 align:middle line:90%
a parabolic model.

00:41:17.000 --> 00:41:19.660 align:middle line:84%
So people knew right
off that this really

00:41:19.660 --> 00:41:21.520 align:middle line:84%
wasn't going to model
the initial oxidation

00:41:21.520 --> 00:41:22.855 align:middle line:90%
kinetics very well.

00:41:22.855 --> 00:41:25.930 align:middle line:90%


00:41:25.930 --> 00:41:29.770 align:middle line:84%
So if we can go on to slide
20 then, since that time,

00:41:29.770 --> 00:41:33.510 align:middle line:84%
there have been a number of
people have made suggestions

00:41:33.510 --> 00:41:37.230 align:middle line:84%
to explain why the initial
kinetics are faster than what

00:41:37.230 --> 00:41:39.870 align:middle line:90%
Deal-Grove model would predict.

00:41:39.870 --> 00:41:41.430 align:middle line:84%
There isn't really
one model that's

00:41:41.430 --> 00:41:44.250 align:middle line:90%
widely totally always accepted.

00:41:44.250 --> 00:41:47.590 align:middle line:84%
There's a couple of them that
are used in simulators today.

00:41:47.590 --> 00:41:49.470 align:middle line:84%
So if you go to the
Supreme Four Manual,

00:41:49.470 --> 00:41:52.710 align:middle line:84%
and you read up about
what thin oxide models are

00:41:52.710 --> 00:41:55.170 align:middle line:84%
available for you to use in
your numerical simulations,

00:41:55.170 --> 00:41:58.430 align:middle line:84%
here's an example
of three of them.

00:41:58.430 --> 00:42:01.870 align:middle line:84%
There's the Reisman model,
Han-Helms, and the Massoud

00:42:01.870 --> 00:42:03.322 align:middle line:90%
model.

00:42:03.322 --> 00:42:04.780 align:middle line:84%
So I want to go
through these three

00:42:04.780 --> 00:42:08.890 align:middle line:84%
there maybe the
most popular or well

00:42:08.890 --> 00:42:10.960 align:middle line:90%
known of all the proposals.

00:42:10.960 --> 00:42:13.630 align:middle line:90%


00:42:13.630 --> 00:42:16.860 align:middle line:84%
So on slide 21, we
have the Reisman model.

00:42:16.860 --> 00:42:22.500 align:middle line:84%
And they actually proposed a
relatively simple power law.

00:42:22.500 --> 00:42:24.540 align:middle line:84%
But it seems and
some people regard it

00:42:24.540 --> 00:42:27.360 align:middle line:84%
as more of a mathematical
fit that quote unquote,

00:42:27.360 --> 00:42:31.830 align:middle line:84%
fits the data for dry O2 over
a wide range of thicknesses.

00:42:31.830 --> 00:42:33.990 align:middle line:84%
And so their power
law is actually

00:42:33.990 --> 00:42:35.760 align:middle line:84%
looks different from
the Deal-Grove model.

00:42:35.760 --> 00:42:38.970 align:middle line:84%
They say the oxide thickness
X0 is some constant A

00:42:38.970 --> 00:42:40.570 align:middle line:90%
times T plus TI.

00:42:40.570 --> 00:42:46.380 align:middle line:84%
TI is the initial oxide
thickness or time corresponding

00:42:46.380 --> 00:42:50.640 align:middle line:84%
to the initial oxide
to the B power.

00:42:50.640 --> 00:42:53.520 align:middle line:84%
Or you can rearrange
it so it looks

00:42:53.520 --> 00:42:56.730 align:middle line:84%
something like this
in terms of A and B.

00:42:56.730 --> 00:42:58.230 align:middle line:84%
Look at this compared
to Deal-Grove.

00:42:58.230 --> 00:43:03.285 align:middle line:84%
You can see it is actually quite
different, although they still

00:43:03.285 --> 00:43:04.410 align:middle line:90%
have a couple of constants.

00:43:04.410 --> 00:43:07.050 align:middle line:84%
They have a lowercase
a and a lowercase

00:43:07.050 --> 00:43:10.060 align:middle line:84%
b for a given set of
process conditions.

00:43:10.060 --> 00:43:12.960 align:middle line:84%
So similar to Deal-Grove,
you have two constants.

00:43:12.960 --> 00:43:15.210 align:middle line:90%
There are different numbers.

00:43:15.210 --> 00:43:16.380 align:middle line:90%
This actually works.

00:43:16.380 --> 00:43:18.300 align:middle line:84%
The fit mathematically
fits better

00:43:18.300 --> 00:43:20.760 align:middle line:90%
in the thin oxide regime.

00:43:20.760 --> 00:43:24.840 align:middle line:84%
The problem is it's not as
appealing in the sense it's not

00:43:24.840 --> 00:43:27.360 align:middle line:84%
as quite as simple
as Deal-Grove.

00:43:27.360 --> 00:43:31.110 align:middle line:84%
But their physical reasoning
was that the interface reaction

00:43:31.110 --> 00:43:33.550 align:middle line:84%
controls the oxidation
process at all times.

00:43:33.550 --> 00:43:35.320 align:middle line:90%
This is what they thought.

00:43:35.320 --> 00:43:38.020 align:middle line:84%
But they believed that
this volume expansion,

00:43:38.020 --> 00:43:39.420 align:middle line:84%
the need for the
volume expansion

00:43:39.420 --> 00:43:41.560 align:middle line:84%
and the flow of the
oxide, the interface,

00:43:41.560 --> 00:43:45.240 align:middle line:84%
control the growth
kinetics, the rate.

00:43:45.240 --> 00:43:48.630 align:middle line:84%
And A and B were believed to
be some time-dependent flow

00:43:48.630 --> 00:43:50.260 align:middle line:90%
parameters for the oxide.

00:43:50.260 --> 00:43:54.788 align:middle line:84%
So not as obvious or
as simple as appealing

00:43:54.788 --> 00:43:56.080 align:middle line:90%
as the simple Deal-Grove model.

00:43:56.080 --> 00:43:58.450 align:middle line:84%
But they also found
that mathematically, it

00:43:58.450 --> 00:44:00.370 align:middle line:90%
just makes a better fit.

00:44:00.370 --> 00:44:04.270 align:middle line:84%
So people do sometimes
use this type of model

00:44:04.270 --> 00:44:09.710 align:middle line:84%
and then fit their own data with
their own A and B constants.

00:44:09.710 --> 00:44:11.470 align:middle line:90%
So that's the Riesman model.

00:44:11.470 --> 00:44:16.150 align:middle line:84%
Han and Helms came along
and got additional data.

00:44:16.150 --> 00:44:18.220 align:middle line:90%
And they actually said this.

00:44:18.220 --> 00:44:21.190 align:middle line:84%
They actually said that
there are two in parallel,

00:44:21.190 --> 00:44:22.990 align:middle line:84%
a couple of different
oxidation processes

00:44:22.990 --> 00:44:26.240 align:middle line:90%
taking place in the model.

00:44:26.240 --> 00:44:29.470 align:middle line:84%
So perhaps, they said,
not only O2 molecules,

00:44:29.470 --> 00:44:32.770 align:middle line:84%
but oxygen atoms can
diffuse through the oxide,

00:44:32.770 --> 00:44:34.900 align:middle line:90%
and maybe in parallel.

00:44:34.900 --> 00:44:37.790 align:middle line:84%
Or maybe there's a diffusion
of oxygen vacancies.

00:44:37.790 --> 00:44:39.525 align:middle line:84%
And so you have
something diffusing in

00:44:39.525 --> 00:44:40.900 align:middle line:84%
and something else
diffusing out.

00:44:40.900 --> 00:44:43.317 align:middle line:84%
And nevertheless, they said
there are two species that you

00:44:43.317 --> 00:44:45.380 align:middle line:90%
need to take into account.

00:44:45.380 --> 00:44:50.270 align:middle line:84%
And they have associated
reactions at the interfaces.

00:44:50.270 --> 00:44:53.233 align:middle line:84%
So it looks very
much like Deal-Grove.

00:44:53.233 --> 00:44:54.400 align:middle line:90%
In fact, this is Deal-Grove.

00:44:54.400 --> 00:44:56.050 align:middle line:84%
If you express
Deal-Grove, remember,

00:44:56.050 --> 00:44:57.940 align:middle line:84%
in terms of an
oxidation rate, it's

00:44:57.940 --> 00:45:00.640 align:middle line:90%
just B divided by 2X0 plus A.

00:45:00.640 --> 00:45:02.980 align:middle line:84%
This looks a lot
like Deal-Grove.

00:45:02.980 --> 00:45:04.750 align:middle line:90%
But they've added a second term.

00:45:04.750 --> 00:45:07.390 align:middle line:84%
And this second term
here is to correspond

00:45:07.390 --> 00:45:12.700 align:middle line:84%
to that second oxidation
process happening in parallel.

00:45:12.700 --> 00:45:15.190 align:middle line:84%
And they propose that
all rate constants

00:45:15.190 --> 00:45:17.830 align:middle line:84%
would be of an Arrhenius type
nature, based on the data

00:45:17.830 --> 00:45:19.880 align:middle line:90%
that they fit.

00:45:19.880 --> 00:45:21.130 align:middle line:90%
It's just like Deal-Grove.

00:45:21.130 --> 00:45:23.893 align:middle line:84%
But, in fact, so
you say, well, you

00:45:23.893 --> 00:45:26.060 align:middle line:84%
should double the number
of constants in Deal-Grove.

00:45:26.060 --> 00:45:27.840 align:middle line:84%
So instead of two,
you should have four.

00:45:27.840 --> 00:45:29.350 align:middle line:84%
In fact, what they
found, they only

00:45:29.350 --> 00:45:31.550 align:middle line:84%
really needed three
parameters to fit the data.

00:45:31.550 --> 00:45:34.880 align:middle line:84%
So they needed a B1
associated with this process

00:45:34.880 --> 00:45:38.860 align:middle line:84%
and B2 associated with this
process and B2 over A2.

00:45:38.860 --> 00:45:41.920 align:middle line:84%
So they found A1
equal to roughly 0.

00:45:41.920 --> 00:45:45.520 align:middle line:84%
So those of you who are
skeptical in the audience

00:45:45.520 --> 00:45:49.360 align:middle line:84%
will say, well, OK,
Deal-Grove had two parameters.

00:45:49.360 --> 00:45:50.800 align:middle line:90%
And Han and Helms have three.

00:45:50.800 --> 00:45:53.257 align:middle line:84%
So if you add more and
more parameters to a fit,

00:45:53.257 --> 00:45:55.840 align:middle line:84%
you can always do a better job
mathematically of fitting data.

00:45:55.840 --> 00:45:57.400 align:middle line:84%
Everybody kind of
knows that from

00:45:57.400 --> 00:45:58.735 align:middle line:90%
your mathematical experience.

00:45:58.735 --> 00:46:00.610 align:middle line:84%
So you could be skeptical
and say, all right.

00:46:00.610 --> 00:46:01.790 align:middle line:90%
They just add another constant.

00:46:01.790 --> 00:46:03.580 align:middle line:84%
And perhaps that's
true because the truth

00:46:03.580 --> 00:46:08.080 align:middle line:84%
is, there isn't really
any definitive data

00:46:08.080 --> 00:46:11.140 align:middle line:84%
saying what the species that
are diffusing through there.

00:46:11.140 --> 00:46:12.860 align:middle line:84%
But nevertheless,
they did come up

00:46:12.860 --> 00:46:15.350 align:middle line:84%
with a model that's reasonably
simple that does a better

00:46:15.350 --> 00:46:17.150 align:middle line:90%
job in the thin oxide kinetics.

00:46:17.150 --> 00:46:19.750 align:middle line:90%


00:46:19.750 --> 00:46:22.080 align:middle line:84%
So actually, let's
compare these two models

00:46:22.080 --> 00:46:26.650 align:middle line:84%
just on slide 23 with
a Deal-Grove model.

00:46:26.650 --> 00:46:30.730 align:middle line:84%
So the x-axis here is
oxide thickness in microns.

00:46:30.730 --> 00:46:32.322 align:middle line:90%
And this is time.

00:46:32.322 --> 00:46:33.780 align:middle line:84%
I'm sorry, the
y-axis is thickness.

00:46:33.780 --> 00:46:35.070 align:middle line:90%
The x-axis is time.

00:46:35.070 --> 00:46:39.600 align:middle line:84%
And this is plotted for
atmospheric pressure dry O2

00:46:39.600 --> 00:46:41.110 align:middle line:90%
at 800 degrees.

00:46:41.110 --> 00:46:43.077 align:middle line:84%
And so let's look at
the different models.

00:46:43.077 --> 00:46:44.910 align:middle line:84%
This line right here,
unfortunately, they're

00:46:44.910 --> 00:46:45.702 align:middle line:90%
all the same color.

00:46:45.702 --> 00:46:46.260 align:middle line:90%
I apologize.

00:46:46.260 --> 00:46:48.000 align:middle line:84%
But you can see
where the arrow is

00:46:48.000 --> 00:46:51.570 align:middle line:84%
pointing to the Reisman model
looks something like this.

00:46:51.570 --> 00:46:53.978 align:middle line:84%
Han and Helms, amazingly,
different mathematical

00:46:53.978 --> 00:46:55.770 align:middle line:84%
equations, but they
look pretty darn close.

00:46:55.770 --> 00:46:57.540 align:middle line:84%
They're not exactly
on top of each other

00:46:57.540 --> 00:46:58.950 align:middle line:90%
in this thin oxide regime.

00:46:58.950 --> 00:47:00.660 align:middle line:90%
But they're pretty darn close.

00:47:00.660 --> 00:47:03.180 align:middle line:84%
The Deal-Grove model
with tau equals

00:47:03.180 --> 00:47:07.230 align:middle line:84%
0 looks like this and with
tau equals 8 looks like that.

00:47:07.230 --> 00:47:09.300 align:middle line:84%
Doesn't actually approach
either one of them

00:47:09.300 --> 00:47:14.080 align:middle line:84%
very well until you get into
the thicker regime up here.

00:47:14.080 --> 00:47:17.010 align:middle line:84%
But in this thin regime,
say below 200 angstroms

00:47:17.010 --> 00:47:20.070 align:middle line:84%
or 0.02 microns,
Deal-Grove doesn't really

00:47:20.070 --> 00:47:20.910 align:middle line:90%
approach either one.

00:47:20.910 --> 00:47:23.340 align:middle line:84%
And Han and Helms and
Reisman do actually

00:47:23.340 --> 00:47:25.860 align:middle line:90%
approach the data quite well.

00:47:25.860 --> 00:47:28.320 align:middle line:84%
They will converge though
when you get to oxides thicker

00:47:28.320 --> 00:47:32.020 align:middle line:90%
than 200 angstroms.

00:47:32.020 --> 00:47:35.380 align:middle line:84%
There's one more model
that people actually

00:47:35.380 --> 00:47:37.570 align:middle line:90%
are very fond of.

00:47:37.570 --> 00:47:39.070 align:middle line:90%
And I'll talk about that now.

00:47:39.070 --> 00:47:40.870 align:middle line:90%
That's shown on slide 24.

00:47:40.870 --> 00:47:43.517 align:middle line:90%
This was the Massoud model.

00:47:43.517 --> 00:47:45.100 align:middle line:84%
This was published
quite some time ago

00:47:45.100 --> 00:47:46.720 align:middle line:90%
at the electrochemical society.

00:47:46.720 --> 00:47:51.220 align:middle line:84%
And the neat thing about
Massoud's experiment

00:47:51.220 --> 00:47:55.150 align:middle line:84%
was they actually
measured in situ.

00:47:55.150 --> 00:47:58.090 align:middle line:84%
In the furnace, they actually
measured the thickness

00:47:58.090 --> 00:48:00.830 align:middle line:84%
of the oxide growing
as a function of time.

00:48:00.830 --> 00:48:03.250 align:middle line:84%
So the other people
like Deal-Grove and Han

00:48:03.250 --> 00:48:05.770 align:middle line:84%
and Helms, all those people,
they put a couple of wafers

00:48:05.770 --> 00:48:08.440 align:middle line:84%
in and take them out, put
them in for different amounts

00:48:08.440 --> 00:48:09.110 align:middle line:90%
of time.

00:48:09.110 --> 00:48:11.800 align:middle line:84%
And so they get a few
certain data points.

00:48:11.800 --> 00:48:13.150 align:middle line:90%
How many wafers can you put in?

00:48:13.150 --> 00:48:15.080 align:middle line:84%
Maybe five or 10
in an experiment.

00:48:15.080 --> 00:48:18.633 align:middle line:84%
So you can't really measure
the kinetics in great detail

00:48:18.633 --> 00:48:20.050 align:middle line:84%
if you're just
pushing and pulling

00:48:20.050 --> 00:48:22.510 align:middle line:84%
wafers out of the furnace and
just measuring them outside.

00:48:22.510 --> 00:48:27.040 align:middle line:84%
What Massoud decided to do
to study the very thin regime

00:48:27.040 --> 00:48:29.140 align:middle line:84%
was actually set up--
and it was non-trivial.

00:48:29.140 --> 00:48:30.610 align:middle line:90%
He hit a diffusion furnace.

00:48:30.610 --> 00:48:32.740 align:middle line:84%
He had special
windows placed into it

00:48:32.740 --> 00:48:34.210 align:middle line:90%
where he could put laser beam.

00:48:34.210 --> 00:48:35.890 align:middle line:84%
So you could put a
laser beam coming in,

00:48:35.890 --> 00:48:36.880 align:middle line:90%
laser beam coming out.

00:48:36.880 --> 00:48:38.470 align:middle line:84%
And he could do in
situ measurements

00:48:38.470 --> 00:48:43.930 align:middle line:84%
by ellipsometry of the oxide
as it was growing in the tube.

00:48:43.930 --> 00:48:45.430 align:middle line:84%
It doesn't sound
like a big deal.

00:48:45.430 --> 00:48:47.837 align:middle line:84%
But it turns out, it's
pretty challenging

00:48:47.837 --> 00:48:50.170 align:middle line:84%
because there's all kinds of
thermal expansion going on.

00:48:50.170 --> 00:48:52.330 align:middle line:84%
And the wafer has
to sit still and not

00:48:52.330 --> 00:48:54.775 align:middle line:84%
move while this laser comes
in, hits, and bounces off

00:48:54.775 --> 00:48:56.900 align:middle line:84%
because in the ellipsometry,
the angle of incidence

00:48:56.900 --> 00:48:58.192 align:middle line:90%
is very important and all that.

00:48:58.192 --> 00:49:00.740 align:middle line:84%
So designing the equipment
was like a huge part

00:49:00.740 --> 00:49:02.390 align:middle line:90%
of this PhD thesis.

00:49:02.390 --> 00:49:04.790 align:middle line:84%
But the nice thing is, it
did produce a lot of data.

00:49:04.790 --> 00:49:06.040 align:middle line:90%
Look at all these data points.

00:49:06.040 --> 00:49:08.300 align:middle line:84%
They're all basically give
you a nice looking curve.

00:49:08.300 --> 00:49:11.330 align:middle line:84%
Instead of one point here,
one here, and one here,

00:49:11.330 --> 00:49:15.140 align:middle line:84%
he published in situ
measured oxidation rates.

00:49:15.140 --> 00:49:16.302 align:middle line:90%
Now, this is the rate.

00:49:16.302 --> 00:49:17.510 align:middle line:90%
So this is not the thickness.

00:49:17.510 --> 00:49:20.810 align:middle line:84%
This is angstroms per
minute as a function

00:49:20.810 --> 00:49:22.190 align:middle line:90%
of the thickness grown.

00:49:22.190 --> 00:49:25.340 align:middle line:84%
And indeed, look
below 200 angstroms.

00:49:25.340 --> 00:49:27.710 align:middle line:84%
All of these rates
are much larger

00:49:27.710 --> 00:49:30.320 align:middle line:84%
than they are where
they reach steady state,

00:49:30.320 --> 00:49:32.059 align:middle line:90%
they reach smaller rates.

00:49:32.059 --> 00:49:34.392 align:middle line:84%
And these are at three different
temperatures, 800, 900,

00:49:34.392 --> 00:49:35.540 align:middle line:90%
and 1,000.

00:49:35.540 --> 00:49:37.760 align:middle line:84%
And in the thin oxide
regime, the rate

00:49:37.760 --> 00:49:40.640 align:middle line:84%
itself appears to be
going up exponentially

00:49:40.640 --> 00:49:43.070 align:middle line:84%
as you get to thinner and
thinner or shorter and shorter

00:49:43.070 --> 00:49:43.760 align:middle line:90%
times.

00:49:43.760 --> 00:49:45.950 align:middle line:84%
So interestingly,
initially, it appears

00:49:45.950 --> 00:49:49.500 align:middle line:84%
to be, in fact, an
exponential process with time.

00:49:49.500 --> 00:49:51.260 align:middle line:90%
So it's growing very rapidly.

00:49:51.260 --> 00:49:54.290 align:middle line:84%
And then it starts to
converge to a process that

00:49:54.290 --> 00:49:57.500 align:middle line:84%
looks more linear and then
eventually, parabolic.

00:49:57.500 --> 00:49:59.420 align:middle line:84%
Only with that kind
of special apparatus

00:49:59.420 --> 00:50:01.250 align:middle line:84%
could one get enough
data point density

00:50:01.250 --> 00:50:03.170 align:middle line:90%
to really see that though.

00:50:03.170 --> 00:50:06.710 align:middle line:84%
So this is probably the most
extensive experimental study

00:50:06.710 --> 00:50:08.900 align:middle line:90%
that has been done.

00:50:08.900 --> 00:50:10.940 align:middle line:84%
And what he did was
he took Deal-Grove,

00:50:10.940 --> 00:50:13.190 align:middle line:84%
just as it came,
right out of the box,

00:50:13.190 --> 00:50:14.600 align:middle line:90%
and added one more term.

00:50:14.600 --> 00:50:18.480 align:middle line:84%
But the term was
exponential in thickness.

00:50:18.480 --> 00:50:21.050 align:middle line:84%
So the oxidation rate
had the Deal-Grove B

00:50:21.050 --> 00:50:24.140 align:middle line:84%
divided by 2X0
plus A plus a term

00:50:24.140 --> 00:50:28.610 align:middle line:84%
that went like C times
exponential of minus X0 over L.

00:50:28.610 --> 00:50:29.990 align:middle line:90%
So what is this?

00:50:29.990 --> 00:50:32.900 align:middle line:84%
Mathematically, this is
a decaying exponential.

00:50:32.900 --> 00:50:35.720 align:middle line:84%
When L gets very large, L
is much greater than 200

00:50:35.720 --> 00:50:38.150 align:middle line:84%
angstroms, this number
goes away, right?

00:50:38.150 --> 00:50:41.870 align:middle line:84%
You can always make it go
to be very small compared

00:50:41.870 --> 00:50:42.630 align:middle line:90%
to this term.

00:50:42.630 --> 00:50:45.470 align:middle line:84%
So he wanted it all
converged to Deal-Grove

00:50:45.470 --> 00:50:46.460 align:middle line:90%
at thick enough oxides.

00:50:46.460 --> 00:50:51.500 align:middle line:84%
But for thin oxides, this is
going to dominate, this C term.

00:50:51.500 --> 00:50:53.630 align:middle line:84%
And in order to do
that, he had to choose

00:50:53.630 --> 00:50:56.660 align:middle line:84%
L to be a certain number so that
it had the right decay length.

00:50:56.660 --> 00:50:59.090 align:middle line:84%
And L, he found
experimentally, it

00:50:59.090 --> 00:51:02.090 align:middle line:84%
should be about 7 nanometers
so that the second term will

00:51:02.090 --> 00:51:08.700 align:middle line:84%
decay rapidly enough by the time
you get to 20 nanometers or so.

00:51:08.700 --> 00:51:11.510 align:middle line:84%
In fact, this model does
agree very well mathematically

00:51:11.510 --> 00:51:13.310 align:middle line:90%
with experimental data.

00:51:13.310 --> 00:51:14.810 align:middle line:84%
It's actually very
easy to implement

00:51:14.810 --> 00:51:16.730 align:middle line:90%
in simulators like Supreme 4.

00:51:16.730 --> 00:51:20.330 align:middle line:84%
And so it has been found to
be implemented in Supreme 4.

00:51:20.330 --> 00:51:23.780 align:middle line:84%
And in terms of
physical explanations,

00:51:23.780 --> 00:51:25.800 align:middle line:84%
there's a few that
have come out.

00:51:25.800 --> 00:51:28.250 align:middle line:84%
But none has really
been clearly identified

00:51:28.250 --> 00:51:29.970 align:middle line:90%
as being the right reason.

00:51:29.970 --> 00:51:32.630 align:middle line:84%
So for now, we use it as
sort of a mathematical model

00:51:32.630 --> 00:51:35.070 align:middle line:90%
or an empirical relation.

00:51:35.070 --> 00:51:36.110 align:middle line:90%
It's very handy.

00:51:36.110 --> 00:51:37.920 align:middle line:84%
And it can be
reasonably accurate.

00:51:37.920 --> 00:51:39.800 align:middle line:90%
So it's appealing in that sense.

00:51:39.800 --> 00:51:41.685 align:middle line:84%
In terms of the physics
and the chemistry,

00:51:41.685 --> 00:51:42.935 align:middle line:90%
it's not a completely obvious.

00:51:42.935 --> 00:51:45.735 align:middle line:90%


00:51:45.735 --> 00:51:47.610 align:middle line:84%
OK, so those are the
three thin oxide models.

00:51:47.610 --> 00:51:49.153 align:middle line:84%
And hopefully,
you'll get a chance

00:51:49.153 --> 00:51:50.820 align:middle line:84%
to study some of those
a little bit more

00:51:50.820 --> 00:51:53.680 align:middle line:84%
in one of your
homework problems.

00:51:53.680 --> 00:51:55.660 align:middle line:84%
So now let's vary
something else.

00:51:55.660 --> 00:51:58.000 align:middle line:84%
All we varied so far
is the following.

00:51:58.000 --> 00:51:59.640 align:middle line:90%
We varied the ambient.

00:51:59.640 --> 00:52:02.520 align:middle line:84%
We said it could be dry O2
or water and temperature.

00:52:02.520 --> 00:52:03.660 align:middle line:90%
What else can you vary?

00:52:03.660 --> 00:52:07.440 align:middle line:84%
Well, it turns out, people
often do vary the pressure.

00:52:07.440 --> 00:52:10.260 align:middle line:84%
That is the partial
pressure of the oxidant.

00:52:10.260 --> 00:52:12.268 align:middle line:84%
If you want to grow
a very thin oxide,

00:52:12.268 --> 00:52:14.310 align:middle line:84%
and yet, you want to grow
at a higher temperature

00:52:14.310 --> 00:52:16.620 align:middle line:84%
because you want to get
different electrical quality

00:52:16.620 --> 00:52:18.870 align:middle line:84%
of the interface, you
can't grow too fast.

00:52:18.870 --> 00:52:21.090 align:middle line:84%
So you might want to
slow it down by diluting.

00:52:21.090 --> 00:52:24.630 align:middle line:84%
You can just take the oxygen
and flow mostly nitrogen,

00:52:24.630 --> 00:52:27.760 align:middle line:84%
and have oxygen flow be a
very small fraction of the gas

00:52:27.760 --> 00:52:28.260 align:middle line:90%
stream.

00:52:28.260 --> 00:52:31.590 align:middle line:84%
That's a way of
diluting the gas stream

00:52:31.590 --> 00:52:35.050 align:middle line:84%
and growing at lower
partial pressures.

00:52:35.050 --> 00:52:40.440 align:middle line:84%
So just as a
reminder, Deal-Grove

00:52:40.440 --> 00:52:42.720 align:middle line:84%
predicts that the
oxide growth rate

00:52:42.720 --> 00:52:45.700 align:middle line:84%
should be directly proportional
to the pressure of the oxidant.

00:52:45.700 --> 00:52:49.360 align:middle line:84%
C star, effectively,
if you can think of it,

00:52:49.360 --> 00:52:55.190 align:middle line:84%
should depend on PG where
PG is the bulk gas pressure.

00:52:55.190 --> 00:53:01.780 align:middle line:84%
So basically, if I were
to lower the gas pressure,

00:53:01.780 --> 00:53:05.200 align:middle line:84%
you would expect that you
could lower the oxidation rate.

00:53:05.200 --> 00:53:10.810 align:middle line:84%
So just to be a little more
specific, we go on to slide 27.

00:53:10.810 --> 00:53:14.620 align:middle line:84%
What people have found, though,
is it's not completely linear.

00:53:14.620 --> 00:53:17.950 align:middle line:84%
Experimentally, if you
lower the partial pressure

00:53:17.950 --> 00:53:23.680 align:middle line:84%
of the oxidant, in fact, B
and B over A do scale like P,

00:53:23.680 --> 00:53:29.230 align:middle line:84%
where P would be the partial
pressure, for water oxidation.

00:53:29.230 --> 00:53:31.480 align:middle line:84%
And the rate
constant B does scale

00:53:31.480 --> 00:53:35.620 align:middle line:90%
like the pressure for dry O2.

00:53:35.620 --> 00:53:37.633 align:middle line:84%
The one rate constant
that's anomalous

00:53:37.633 --> 00:53:38.800 align:middle line:90%
is the linear rate constant.

00:53:38.800 --> 00:53:44.007 align:middle line:84%
The B over A for dry O2
doesn't go quite like exactly

00:53:44.007 --> 00:53:44.590 align:middle line:90%
like pressure.

00:53:44.590 --> 00:53:48.070 align:middle line:84%
It goes like P to the N, where N
is close to 1 but not really 1.

00:53:48.070 --> 00:53:49.700 align:middle line:90%
It's somewhere between 0.5.

00:53:49.700 --> 00:53:53.410 align:middle line:84%
So it's a power law
between 0.5 and 1.

00:53:53.410 --> 00:53:56.920 align:middle line:84%
So this suggests that at least
for oxygen, the case of S

00:53:56.920 --> 00:54:02.410 align:middle line:84%
maybe has some dependence on
pressure that's nonlinear.

00:54:02.410 --> 00:54:05.410 align:middle line:84%
So these are some empirical
models that you'll

00:54:05.410 --> 00:54:07.460 align:middle line:90%
find in Supreme 4, for example.

00:54:07.460 --> 00:54:12.550 align:middle line:84%
The linear rate constant
may go some number B over A

00:54:12.550 --> 00:54:16.450 align:middle line:84%
to the I times
pressure where I here

00:54:16.450 --> 00:54:20.180 align:middle line:84%
refers to the intrinsic
values at 1 atmosphere.

00:54:20.180 --> 00:54:22.060 align:middle line:90%
N here might be 0.7 to 0.8.

00:54:22.060 --> 00:54:25.120 align:middle line:84%
And you notice, you
specify the pressure P.

00:54:25.120 --> 00:54:27.490 align:middle line:84%
So maybe you say at
half an atmosphere

00:54:27.490 --> 00:54:29.790 align:middle line:90%
or a tenth of an atmosphere.

00:54:29.790 --> 00:54:31.707 align:middle line:84%
But we're not changing--
think of it this way.

00:54:31.707 --> 00:54:33.957 align:middle line:84%
You're not actually changing
the pressure in the tube.

00:54:33.957 --> 00:54:35.830 align:middle line:84%
The pressure of all
the gas in the tube

00:54:35.830 --> 00:54:37.180 align:middle line:90%
is still an atmosphere.

00:54:37.180 --> 00:54:40.000 align:middle line:84%
What we're doing is we're
flowing mostly nitrogen.

00:54:40.000 --> 00:54:43.850 align:middle line:84%
And we're putting a small amount
of oxygen in the gas stream.

00:54:43.850 --> 00:54:47.077 align:middle line:84%
So let's say I wanted to
oxidize at half an atmosphere.

00:54:47.077 --> 00:54:48.160 align:middle line:90%
Well, I just cut the flow.

00:54:48.160 --> 00:54:51.070 align:middle line:84%
I use equal flows of
nitrogen and oxygen.

00:54:51.070 --> 00:54:55.810 align:middle line:84%
So we're diluting the
pressure, basically.

00:54:55.810 --> 00:55:00.400 align:middle line:84%
We're diluting the
oxidant in the gas stream.

00:55:00.400 --> 00:55:01.760 align:middle line:90%
So here's an example.

00:55:01.760 --> 00:55:05.180 align:middle line:84%
Suppose I dilute it by
a factor of 10 to 1.

00:55:05.180 --> 00:55:10.540 align:middle line:84%
So I'm flowing 1,000 SECM
of inert gas like argon

00:55:10.540 --> 00:55:14.260 align:middle line:84%
or nitrogen. And I'm
flowing only 100 SECM

00:55:14.260 --> 00:55:16.420 align:middle line:90%
of oxygen, dry O2.

00:55:16.420 --> 00:55:21.820 align:middle line:84%
This is what we would get as
the oxide thickness versus time.

00:55:21.820 --> 00:55:26.740 align:middle line:84%
And the solid lines were if you
were to do the very brute force

00:55:26.740 --> 00:55:29.650 align:middle line:84%
simple idea that it
was all scaled like P.

00:55:29.650 --> 00:55:32.950 align:middle line:90%
And it's just down.

00:55:32.950 --> 00:55:37.390 align:middle line:84%
The rate constants are
down by a factor of P,

00:55:37.390 --> 00:55:40.030 align:middle line:84%
where p here would be
a 1/10 the pressure

00:55:40.030 --> 00:55:41.060 align:middle line:90%
of atmospheric pressure.

00:55:41.060 --> 00:55:43.360 align:middle line:84%
The dashed line is where
you use a little bit

00:55:43.360 --> 00:55:47.345 align:middle line:84%
more sophisticated model
where, in fact, the B parameter

00:55:47.345 --> 00:55:48.220 align:middle line:90%
scales like pressure.

00:55:48.220 --> 00:55:50.213 align:middle line:84%
But the B over A parameter
scales like pressure

00:55:50.213 --> 00:55:52.070 align:middle line:90%
at the 0.8, so just slightly.

00:55:52.070 --> 00:55:55.128 align:middle line:84%
So in fact, the kinetics
would be slightly faster,

00:55:55.128 --> 00:55:56.920 align:middle line:84%
the oxide would be
growing slightly faster,

00:55:56.920 --> 00:55:59.680 align:middle line:84%
than you would have predicted
using very simple dependence

00:55:59.680 --> 00:56:02.410 align:middle line:84%
on just saying it
depends strictly on P.

00:56:02.410 --> 00:56:04.930 align:middle line:84%
So it gives you a little
bit more accuracy using some

00:56:04.930 --> 00:56:08.240 align:middle line:90%
of these more empirical models.

00:56:08.240 --> 00:56:11.563 align:middle line:84%
But again, the idea here
is, if for some reason,

00:56:11.563 --> 00:56:13.480 align:middle line:84%
you need to control the
oxidation rate better,

00:56:13.480 --> 00:56:15.400 align:middle line:84%
you want to slow it
down, you just dilute

00:56:15.400 --> 00:56:16.690 align:middle line:90%
the oxygen in the furnace.

00:56:16.690 --> 00:56:21.440 align:middle line:90%


00:56:21.440 --> 00:56:23.930 align:middle line:84%
Oh, I just showed some
specific examples here

00:56:23.930 --> 00:56:26.240 align:middle line:84%
of trying to read off what
the difference would be.

00:56:26.240 --> 00:56:29.180 align:middle line:84%
You'd make an error of
about a 100 angstroms

00:56:29.180 --> 00:56:31.520 align:middle line:84%
if you use the simple
assumption compared

00:56:31.520 --> 00:56:40.570 align:middle line:84%
to what's a little bit more
accurate here at 1,000 degrees.

00:56:40.570 --> 00:56:42.280 align:middle line:90%
OK, so let me just get through.

00:56:42.280 --> 00:56:46.772 align:middle line:84%
That's the standard
kinetics on slide 29.

00:56:46.772 --> 00:56:47.980 align:middle line:90%
Let's go on to slide 30 then.

00:56:47.980 --> 00:56:49.438 align:middle line:84%
OK, so what I just
talked about was

00:56:49.438 --> 00:56:52.900 align:middle line:84%
trying to dilute the oxidant
so you can grow slower

00:56:52.900 --> 00:56:55.210 align:middle line:90%
at a given temperature.

00:56:55.210 --> 00:56:58.030 align:middle line:84%
On slide 30, we're doing
just the opposite now.

00:56:58.030 --> 00:57:01.780 align:middle line:84%
It's not so easy to do from
a physical point of view.

00:57:01.780 --> 00:57:05.830 align:middle line:84%
But you can imagine growing
at higher than 1 pressure.

00:57:05.830 --> 00:57:08.110 align:middle line:84%
Let's say the pressure
tells you what?

00:57:08.110 --> 00:57:11.680 align:middle line:84%
It tells you the number of atoms
or molecules, species hitting

00:57:11.680 --> 00:57:13.720 align:middle line:90%
the surface per unit time.

00:57:13.720 --> 00:57:16.450 align:middle line:84%
So if I double that pressure,
I can double the amount

00:57:16.450 --> 00:57:18.148 align:middle line:90%
there hitting that surface.

00:57:18.148 --> 00:57:19.690 align:middle line:84%
I can double the
flux to the surface.

00:57:19.690 --> 00:57:22.850 align:middle line:84%
So you expect the
growth rate to go up.

00:57:22.850 --> 00:57:26.620 align:middle line:84%
It's just not in your intuition
is how I could do that.

00:57:26.620 --> 00:57:29.540 align:middle line:84%
Here, you have a tube
that's made of quartz.

00:57:29.540 --> 00:57:31.810 align:middle line:84%
I have it open on both
ends to the ambient.

00:57:31.810 --> 00:57:33.160 align:middle line:90%
And I'm flowing some gas to it.

00:57:33.160 --> 00:57:34.360 align:middle line:84%
How are you going to
get a higher pressure?

00:57:34.360 --> 00:57:35.777 align:middle line:84%
We're all at
atmospheric pressure.

00:57:35.777 --> 00:57:36.443 align:middle line:90%
It doesn't work.

00:57:36.443 --> 00:57:37.270 align:middle line:90%
But you can do it.

00:57:37.270 --> 00:57:40.160 align:middle line:84%
You can build a system where
outside that quartz tube,

00:57:40.160 --> 00:57:43.010 align:middle line:84%
there's a big envelope made of
stainless steel like a diver's

00:57:43.010 --> 00:57:44.450 align:middle line:90%
tank.

00:57:44.450 --> 00:57:46.610 align:middle line:84%
They have training tanks
for deep sea divers.

00:57:46.610 --> 00:57:48.140 align:middle line:84%
They put these guys
in these tanks.

00:57:48.140 --> 00:57:50.120 align:middle line:84%
They seal it up
like a submarine.

00:57:50.120 --> 00:57:52.100 align:middle line:84%
And they can stuff more
and more gas in there,

00:57:52.100 --> 00:57:54.330 align:middle line:84%
and you can increase the
pressure on the diver.

00:57:54.330 --> 00:57:57.110 align:middle line:84%
So that's exactly what people
do with high pressure oxidation.

00:57:57.110 --> 00:57:59.073 align:middle line:84%
It's a very special
type of equipment.

00:57:59.073 --> 00:58:01.490 align:middle line:84%
It's not something you're going
to find in a standard fab.

00:58:01.490 --> 00:58:02.510 align:middle line:90%
They are available though.

00:58:02.510 --> 00:58:03.860 align:middle line:90%
They've been commercially made.

00:58:03.860 --> 00:58:08.960 align:middle line:84%
And people call it HiPOX, the
High Pressure Oxidation System.

00:58:08.960 --> 00:58:11.840 align:middle line:84%
So here's an example of how
the kinetics would go up.

00:58:11.840 --> 00:58:16.090 align:middle line:84%
And this I took from Mayer
and Lau's book, 1990.

00:58:16.090 --> 00:58:18.670 align:middle line:84%
What they're showing
here is on a log plot

00:58:18.670 --> 00:58:21.820 align:middle line:84%
here, a semi-log, so it's
log on the Y, linearly

00:58:21.820 --> 00:58:24.880 align:middle line:84%
on the X, oxide
thickness versus time.

00:58:24.880 --> 00:58:27.550 align:middle line:90%
And this is 100 in steam.

00:58:27.550 --> 00:58:30.280 align:middle line:84%
And they're looking at
versus temperature--

00:58:30.280 --> 00:58:32.483 align:middle line:84%
I'm sorry, looking at a
couple different curves

00:58:32.483 --> 00:58:33.650 align:middle line:90%
here at different pressures.

00:58:33.650 --> 00:58:36.340 align:middle line:84%
So at atmospheric pressure,
it looks like this.

00:58:36.340 --> 00:58:40.948 align:middle line:84%
At 5 atmospheres
or 10 atmospheres,

00:58:40.948 --> 00:58:41.740 align:middle line:90%
it looks like this.

00:58:41.740 --> 00:58:42.910 align:middle line:90%
Here we are 20 atmospheres.

00:58:42.910 --> 00:58:46.130 align:middle line:84%
Look how much
faster we can grow.

00:58:46.130 --> 00:58:49.570 align:middle line:84%
So this can be used to
increase the oxidation

00:58:49.570 --> 00:58:50.920 align:middle line:90%
rate at low temperatures.

00:58:50.920 --> 00:58:53.105 align:middle line:84%
If you need to grow a
thick oxide thermally,

00:58:53.105 --> 00:58:55.480 align:middle line:84%
you need to have the properties
of a thermal oxide, which

00:58:55.480 --> 00:58:56.350 align:middle line:90%
are quite unique.

00:58:56.350 --> 00:58:58.870 align:middle line:90%
Its density is well defined.

00:58:58.870 --> 00:59:00.820 align:middle line:84%
It has much better
electrical properties

00:59:00.820 --> 00:59:02.920 align:middle line:84%
than you would get by
depositing an oxide.

00:59:02.920 --> 00:59:05.470 align:middle line:84%
It actually consumes
silicon, which is not

00:59:05.470 --> 00:59:07.080 align:middle line:90%
true of a deposited oxide.

00:59:07.080 --> 00:59:08.960 align:middle line:84%
Then you have to go
to a hypoxic process.

00:59:08.960 --> 00:59:11.000 align:middle line:84%
Or let's say you
have some structure

00:59:11.000 --> 00:59:13.130 align:middle line:84%
on the surface like
silicon germanium

00:59:13.130 --> 00:59:15.590 align:middle line:84%
or some material that can't
go to high temperature

00:59:15.590 --> 00:59:18.770 align:middle line:84%
because it'll cause the
material to diffuse or to relax,

00:59:18.770 --> 00:59:21.470 align:middle line:84%
or you're trying to limit
the amount of diffusion

00:59:21.470 --> 00:59:22.192 align:middle line:90%
in the substrate.

00:59:22.192 --> 00:59:23.900 align:middle line:84%
Well, and you need to
grow a thick oxide,

00:59:23.900 --> 00:59:27.140 align:middle line:84%
you can do it in a
hypoxic machine at 800,

00:59:27.140 --> 00:59:30.860 align:middle line:84%
where you never would be able to
do grow a half a micron at 800.

00:59:30.860 --> 00:59:33.290 align:middle line:84%
But you can do it in
HiPOX at 20 atmospheres.

00:59:33.290 --> 00:59:36.680 align:middle line:84%
So for materials
and processes that

00:59:36.680 --> 00:59:38.130 align:middle line:84%
are getting limited
by temperature

00:59:38.130 --> 00:59:40.255 align:middle line:84%
and they have to go lower
and lower in temperature,

00:59:40.255 --> 00:59:43.565 align:middle line:84%
HiPOX is a way of increasing
the oxidation rate.

00:59:43.565 --> 00:59:46.250 align:middle line:90%


00:59:46.250 --> 00:59:51.490 align:middle line:84%
So in fact, here are some
data shown on slide 31

00:59:51.490 --> 00:59:55.570 align:middle line:84%
on HiPOX I took
from Simon Z's book.

00:59:55.570 --> 00:59:59.770 align:middle line:84%
And what it shows is the
measurements on the y-axis,

00:59:59.770 --> 01:00:02.680 align:middle line:84%
the parabolic rate constant--
so this is the B parameter--

01:00:02.680 --> 01:00:06.880 align:middle line:84%
as a function of 1,000 over
T-- so it's a semi-log kind

01:00:06.880 --> 01:00:09.610 align:middle line:90%
of Arrhenius plot--

01:00:09.610 --> 01:00:11.140 align:middle line:90%
in steam.

01:00:11.140 --> 01:00:14.600 align:middle line:84%
And this has been
measured for a couple

01:00:14.600 --> 01:00:17.260 align:middle line:84%
of different
orientations of silicon.

01:00:17.260 --> 01:00:20.597 align:middle line:84%
And what you see here
is this solid line,

01:00:20.597 --> 01:00:22.430 align:middle line:84%
which has two different
activation energies.

01:00:22.430 --> 01:00:25.360 align:middle line:84%
There seemed to be a break
point here somewhere around 950

01:00:25.360 --> 01:00:29.110 align:middle line:84%
degrees but actual activation
energy close to one electron

01:00:29.110 --> 01:00:31.480 align:middle line:90%
volt. This is the B parameter.

01:00:31.480 --> 01:00:35.573 align:middle line:84%
Here at 5, 10, 15
and 20 atmospheres,

01:00:35.573 --> 01:00:37.240 align:middle line:84%
this is what the B
parameter goes up by.

01:00:37.240 --> 01:00:41.560 align:middle line:84%
And in fact, I marked this blue
line, which is at 800 degrees.

01:00:41.560 --> 01:00:44.050 align:middle line:84%
And in fact, I'm reading
off the chart here,

01:00:44.050 --> 01:00:47.390 align:middle line:84%
the B parameter is almost
exactly a factor of 20

01:00:47.390 --> 01:00:52.290 align:middle line:84%
faster at 20 atmospheres
than it is at 1 atmosphere.

01:00:52.290 --> 01:00:56.690 align:middle line:84%
So we can go up to 20
times the oxidation rate

01:00:56.690 --> 01:00:58.740 align:middle line:84%
at 20 atmospheres
at 800 degrees.

01:00:58.740 --> 01:01:02.270 align:middle line:84%
So it does scale reasonably
well, this parameter does,

01:01:02.270 --> 01:01:04.580 align:middle line:84%
with pressure at
higher pressures.

01:01:04.580 --> 01:01:07.800 align:middle line:90%


01:01:07.800 --> 01:01:10.110 align:middle line:84%
On slide 32, I'm
actually showing you--

01:01:10.110 --> 01:01:13.860 align:middle line:84%
remember, I said, you can build
this complex diver tank looking

01:01:13.860 --> 01:01:16.410 align:middle line:84%
thing with a great
big steel vacuum

01:01:16.410 --> 01:01:20.010 align:middle line:84%
system that can hold the
pressure and pressurization

01:01:20.010 --> 01:01:20.820 align:middle line:90%
system.

01:01:20.820 --> 01:01:22.530 align:middle line:84%
I've taken this
from Simon Z's book.

01:01:22.530 --> 01:01:26.490 align:middle line:84%
He actually talks about
how you would do a HiPOX

01:01:26.490 --> 01:01:29.120 align:middle line:90%
run, if you had such a thing.

01:01:29.120 --> 01:01:31.370 align:middle line:84%
Just so you can think
about it, what happens

01:01:31.370 --> 01:01:34.640 align:middle line:84%
is the wafers get loaded
here at atmospheric pressure.

01:01:34.640 --> 01:01:36.618 align:middle line:84%
Down here, this
solid bar, it means

01:01:36.618 --> 01:01:37.910 align:middle line:90%
you're at atmospheric pressure.

01:01:37.910 --> 01:01:40.670 align:middle line:84%
Obviously, you can't
pump up the diver tank

01:01:40.670 --> 01:01:43.310 align:middle line:90%
until the hatch is closed.

01:01:43.310 --> 01:01:45.620 align:middle line:84%
So you load them in
atmospheric pressure.

01:01:45.620 --> 01:01:47.760 align:middle line:90%
And you have a sealing step.

01:01:47.760 --> 01:01:50.810 align:middle line:84%
And here, you're starting to
increase the pressure, again,

01:01:50.810 --> 01:01:52.610 align:middle line:90%
using O2.

01:01:52.610 --> 01:01:53.960 align:middle line:90%
You do some purging.

01:01:53.960 --> 01:01:56.180 align:middle line:84%
And then at some
point, what you do

01:01:56.180 --> 01:02:00.590 align:middle line:84%
is you bring this outside
steel shell and the tube

01:02:00.590 --> 01:02:01.590 align:middle line:90%
up together in pressure.

01:02:01.590 --> 01:02:05.030 align:middle line:84%
And you go up to,
say 10 atmospheres.

01:02:05.030 --> 01:02:07.445 align:middle line:84%
So your pressurizing
in moisture.

01:02:07.445 --> 01:02:09.200 align:middle line:90%
Then you do your oxidation.

01:02:09.200 --> 01:02:11.720 align:middle line:84%
Then you depressurize
and bring it

01:02:11.720 --> 01:02:13.400 align:middle line:84%
down to atmospheric
pressure and unload.

01:02:13.400 --> 01:02:15.108 align:middle line:84%
So it's perfectly
possible to do this.

01:02:15.108 --> 01:02:17.150 align:middle line:84%
Obviously, if you try to
do it with a quartz tube

01:02:17.150 --> 01:02:19.380 align:middle line:84%
and put end caps on it and
pressurize it, of course,

01:02:19.380 --> 01:02:21.252 align:middle line:84%
the quartz would
explode all over

01:02:21.252 --> 01:02:22.710 align:middle line:84%
because it's not
a strong material.

01:02:22.710 --> 01:02:26.760 align:middle line:84%
But if you have the stainless
steel shroud all around it,

01:02:26.760 --> 01:02:29.010 align:middle line:84%
then the differential
pressure across the quartz

01:02:29.010 --> 01:02:30.360 align:middle line:90%
is very close to 0.

01:02:30.360 --> 01:02:32.530 align:middle line:84%
Or it can be just
maybe one atmosphere.

01:02:32.530 --> 01:02:34.145 align:middle line:84%
We know it can
withstand 1 atmosphere.

01:02:34.145 --> 01:02:35.520 align:middle line:84%
But that way, you
keep the quartz

01:02:35.520 --> 01:02:38.470 align:middle line:84%
from exploding all
over the place.

01:02:38.470 --> 01:02:40.200 align:middle line:84%
So it's a special
piece of equipment.

01:02:40.200 --> 01:02:42.890 align:middle line:90%


01:02:42.890 --> 01:02:45.770 align:middle line:84%
OK, so then let's go on
to slide 33, so HiPOX,

01:02:45.770 --> 01:02:46.910 align:middle line:90%
we can do low pressures.

01:02:46.910 --> 01:02:50.150 align:middle line:84%
You can do high pressures if
you have the right equipment.

01:02:50.150 --> 01:02:52.940 align:middle line:84%
It turns out, simple
oxidation also

01:02:52.940 --> 01:02:58.610 align:middle line:84%
isn't always done just
with oxygen or water vapor.

01:02:58.610 --> 01:03:01.940 align:middle line:84%
Small concentrations of certain
other species are often added.

01:03:01.940 --> 01:03:06.680 align:middle line:84%
For example, HCl is
sometimes added to the O2

01:03:06.680 --> 01:03:08.060 align:middle line:84%
because it turns
out, people have

01:03:08.060 --> 01:03:12.200 align:middle line:84%
found by adding that, they can
reduce oxide defect densities

01:03:12.200 --> 01:03:15.020 align:middle line:84%
or they can reduce
contamination levels.

01:03:15.020 --> 01:03:19.970 align:middle line:84%
In the liquid form, HCl is
very good at etching off metals

01:03:19.970 --> 01:03:21.180 align:middle line:90%
from the surface.

01:03:21.180 --> 01:03:23.420 align:middle line:84%
So perhaps, it
has a similar role

01:03:23.420 --> 01:03:25.500 align:middle line:90%
when it's in the vapor phase.

01:03:25.500 --> 01:03:29.610 align:middle line:84%
So sometimes, people add a small
amount of HCl to the furnace.

01:03:29.610 --> 01:03:32.600 align:middle line:84%
It can produce chlorine, which
can react with maybe trace

01:03:32.600 --> 01:03:37.470 align:middle line:84%
metals by this kind of
process that's shown here.

01:03:37.470 --> 01:03:40.730 align:middle line:84%
So it's not unusual to see,
in manufacturing processes

01:03:40.730 --> 01:03:45.430 align:middle line:84%
oxidation, in not just
O2 but HCl, O2 plus HCL.

01:03:45.430 --> 01:03:48.100 align:middle line:84%
So these bullets here in
the middle of the slide

01:03:48.100 --> 01:03:50.650 align:middle line:84%
are just some generic
kind of observations

01:03:50.650 --> 01:03:53.620 align:middle line:84%
that have been made on
these different ambients.

01:03:53.620 --> 01:03:55.930 align:middle line:84%
Well, just studied,
in the Deal-Grove,

01:03:55.930 --> 01:03:58.750 align:middle line:84%
we know in detail that
you can get 20 to 50 times

01:03:58.750 --> 01:04:03.910 align:middle line:84%
faster than dry O2 just by
putting in wet O2 in steam.

01:04:03.910 --> 01:04:05.860 align:middle line:90%
So we know that.

01:04:05.860 --> 01:04:09.910 align:middle line:84%
3% chlorine in the ambient
can increase the growth rate

01:04:09.910 --> 01:04:11.390 align:middle line:90%
by 20% to 30%.

01:04:11.390 --> 01:04:14.083 align:middle line:84%
So also, HCl is a way
of, at a low temperature,

01:04:14.083 --> 01:04:15.250 align:middle line:90%
is boosting the growth rate.

01:04:15.250 --> 01:04:17.470 align:middle line:84%
The name of the game these
days is keep the dopants

01:04:17.470 --> 01:04:18.010 align:middle line:90%
from moving.

01:04:18.010 --> 01:04:19.510 align:middle line:84%
But keep the growth
rate high enough

01:04:19.510 --> 01:04:22.070 align:middle line:84%
to give you a
reasonable thickness.

01:04:22.070 --> 01:04:25.430 align:middle line:84%
So you can add a little chlorine
to speed up the growth rate.

01:04:25.430 --> 01:04:29.283 align:middle line:84%
You can also add NF3, another
commonly used species.

01:04:29.283 --> 01:04:31.450 align:middle line:84%
A small amount of that will
increase the growth rate

01:04:31.450 --> 01:04:34.510 align:middle line:90%
by two to three times.

01:04:34.510 --> 01:04:37.120 align:middle line:84%
Again, this is adding in
a lot of new chemistry.

01:04:37.120 --> 01:04:39.182 align:middle line:84%
And there's no way
in an AB initio,

01:04:39.182 --> 01:04:41.140 align:middle line:84%
in a first principle
sense, to really calculate

01:04:41.140 --> 01:04:41.848 align:middle line:90%
what those rates.

01:04:41.848 --> 01:04:44.440 align:middle line:84%
Are so in simulators
like Supreme 4,

01:04:44.440 --> 01:04:46.480 align:middle line:84%
if you go sit down
and tell it, oh, I

01:04:46.480 --> 01:04:49.057 align:middle line:84%
want to grow an oxide
in chlorine and oxygen.

01:04:49.057 --> 01:04:51.640 align:middle line:84%
It doesn't simulate the chemical
reaction and all the kinetics

01:04:51.640 --> 01:04:53.020 align:middle line:90%
and, come on, spit out a number.

01:04:53.020 --> 01:04:56.348 align:middle line:84%
It has a lookup table of
B and B over A values that

01:04:56.348 --> 01:04:58.390 align:middle line:84%
have been measured in the
literature for commonly

01:04:58.390 --> 01:05:02.120 align:middle line:84%
used ambients like chlorine
and maybe NF3 and a few others.

01:05:02.120 --> 01:05:08.410 align:middle line:84%
So it looks up in the table
what B over A and B should be.

01:05:08.410 --> 01:05:11.020 align:middle line:84%
As a function of the pressure
here, this pressure, delta

01:05:11.020 --> 01:05:15.370 align:middle line:84%
or chi, these are some
functions of the concentration

01:05:15.370 --> 01:05:18.790 align:middle line:84%
of this additional species
that's in the furnace.

01:05:18.790 --> 01:05:20.765 align:middle line:90%
Could it be HCl or whatever.

01:05:20.765 --> 01:05:22.640 align:middle line:84%
And they've been determined
very empirically.

01:05:22.640 --> 01:05:25.160 align:middle line:84%
So don't expect first
principles models,

01:05:25.160 --> 01:05:26.990 align:middle line:84%
but maybe some
mathematical models

01:05:26.990 --> 01:05:28.940 align:middle line:84%
would be in Supreme
for different ambience.

01:05:28.940 --> 01:05:30.650 align:middle line:84%
But again, they've
all been calibrated

01:05:30.650 --> 01:05:32.270 align:middle line:90%
to somebody's experiment.

01:05:32.270 --> 01:05:34.908 align:middle line:84%
So they may not exactly
agree with your experiment.

01:05:34.908 --> 01:05:36.575 align:middle line:84%
You might have to
calibrate it yourself.

01:05:36.575 --> 01:05:39.680 align:middle line:90%


01:05:39.680 --> 01:05:43.580 align:middle line:84%
Here's an interesting
example on slide 34.

01:05:43.580 --> 01:05:46.100 align:middle line:90%
These are some kinetics in--

01:05:46.100 --> 01:05:47.660 align:middle line:84%
HCl has been used
for quite a while.

01:05:47.660 --> 01:05:49.250 align:middle line:90%
It's even old fashioned now.

01:05:49.250 --> 01:05:50.870 align:middle line:84%
Something that's
a little bit newer

01:05:50.870 --> 01:05:55.340 align:middle line:84%
is people oxidizing an
ambience like NO, N2O,

01:05:55.340 --> 01:05:57.050 align:middle line:84%
and even implanting
nitrogen. Remember,

01:05:57.050 --> 01:06:02.150 align:middle line:84%
we talked about oxynitrides
are the first form of high K.

01:06:02.150 --> 01:06:05.360 align:middle line:84%
Oxynitride, which is a
mixture of silicon, oxygen,

01:06:05.360 --> 01:06:07.808 align:middle line:84%
and nitrogen, has a higher
dielectric constant.

01:06:07.808 --> 01:06:09.350 align:middle line:84%
You can make it a
little bit thicker.

01:06:09.350 --> 01:06:10.760 align:middle line:84%
And so you get
less gate leakage.

01:06:10.760 --> 01:06:14.000 align:middle line:84%
So gate oxides of
oxynitride were

01:06:14.000 --> 01:06:16.190 align:middle line:90%
are popular for people to study.

01:06:16.190 --> 01:06:20.750 align:middle line:84%
But here's an example
of trying to fabricate

01:06:20.750 --> 01:06:24.170 align:middle line:84%
an oxynitride where the
kinetics are really crazy.

01:06:24.170 --> 01:06:26.000 align:middle line:84%
They're not at all
linear parabolic.

01:06:26.000 --> 01:06:29.300 align:middle line:84%
And in fact, this is a
plot here on the y-axis

01:06:29.300 --> 01:06:33.260 align:middle line:84%
is oxide thickness or oxynitride
thickness, if you want,

01:06:33.260 --> 01:06:37.030 align:middle line:84%
as a function of
the nitrogen dose.

01:06:37.030 --> 01:06:40.710 align:middle line:84%
So here, the substrate was
implanted first with nitrogen--

01:06:40.710 --> 01:06:42.360 align:middle line:84%
and we'll talk about
ion implantation--

01:06:42.360 --> 01:06:45.090 align:middle line:84%
to a certain number of
atoms per square centimeter.

01:06:45.090 --> 01:06:48.540 align:middle line:84%
And they're plotting
the oxide thickness here

01:06:48.540 --> 01:06:50.790 align:middle line:84%
at different times,
so say, for 25 minutes

01:06:50.790 --> 01:06:53.620 align:middle line:90%
as a function of dose.

01:06:53.620 --> 01:06:56.490 align:middle line:84%
And you can see, depending
on how much nitrogen you

01:06:56.490 --> 01:06:59.160 align:middle line:84%
implanted, the thickness
actually can go down.

01:06:59.160 --> 01:07:02.130 align:middle line:84%
So the oxidation rate can
depend on exactly what

01:07:02.130 --> 01:07:03.090 align:middle line:90%
is at that surface.

01:07:03.090 --> 01:07:04.590 align:middle line:90%
Was it silicon pure?

01:07:04.590 --> 01:07:07.710 align:middle line:84%
Or was it silicon that had been
ion implanted with something?

01:07:07.710 --> 01:07:11.700 align:middle line:84%
So this needs a qualitatively
very different model

01:07:11.700 --> 01:07:15.030 align:middle line:84%
from Deal-Grove because you
need to specify something

01:07:15.030 --> 01:07:16.740 align:middle line:84%
that the Deal-Grove
doesn't even treat.

01:07:16.740 --> 01:07:19.230 align:middle line:84%
Deal-Grove assumed you had
a perfectly pure silicon

01:07:19.230 --> 01:07:22.620 align:middle line:84%
wafer that you were oxidizing
with just silicon atoms in it.

01:07:22.620 --> 01:07:25.350 align:middle line:84%
Once you start implanting
nitrogen or some other species,

01:07:25.350 --> 01:07:27.150 align:middle line:90%
all bets are off.

01:07:27.150 --> 01:07:30.630 align:middle line:84%
You're not going to widely
find simulators that

01:07:30.630 --> 01:07:32.040 align:middle line:90%
can support this type of model.

01:07:32.040 --> 01:07:33.540 align:middle line:84%
If you want to do
this, you're going

01:07:33.540 --> 01:07:36.520 align:middle line:84%
to have to model it yourself by
taking data from the literature

01:07:36.520 --> 01:07:40.150 align:middle line:84%
and fitting it or maybe
doing your own experiments.

01:07:40.150 --> 01:07:44.570 align:middle line:90%


01:07:44.570 --> 01:07:48.032 align:middle line:90%
So let's look at slide 35.

01:07:48.032 --> 01:07:49.990 align:middle line:84%
There's another parameter
we need to vary here.

01:07:49.990 --> 01:07:51.160 align:middle line:90%
You can imagine varying.

01:07:51.160 --> 01:07:52.840 align:middle line:84%
And this is a
relatively simple one.

01:07:52.840 --> 01:07:54.940 align:middle line:84%
And that's the orientation
of the crystal,

01:07:54.940 --> 01:07:58.510 align:middle line:84%
the face of the crystal
that you're oxidizing.

01:07:58.510 --> 01:08:01.480 align:middle line:84%
We know that the B parameter,
which depends on the diffusion

01:08:01.480 --> 01:08:04.090 align:middle line:84%
through the oxide, is
independent of orientation.

01:08:04.090 --> 01:08:07.630 align:middle line:84%
B over A, which is the
reaction rate at the interface,

01:08:07.630 --> 01:08:09.880 align:middle line:84%
of course, it's going to
depend on the number of atoms

01:08:09.880 --> 01:08:12.820 align:middle line:84%
available per square
centimeter to react.

01:08:12.820 --> 01:08:14.373 align:middle line:84%
So it does depend
on orientation.

01:08:14.373 --> 01:08:15.790 align:middle line:84%
So and these are
the dependencies,

01:08:15.790 --> 01:08:18.460 align:middle line:84%
just to give you rough
numbers or relationship.

01:08:18.460 --> 01:08:19.870 align:middle line:90%
111 is the fastest.

01:08:19.870 --> 01:08:22.359 align:middle line:84%
It has the greatest number of
atoms per square centimeter.

01:08:22.359 --> 01:08:23.950 align:middle line:90%
110 is second.

01:08:23.950 --> 01:08:27.130 align:middle line:90%
And the slowest is 100.

01:08:27.130 --> 01:08:29.770 align:middle line:84%
And in fact, these
are the relationships.

01:08:29.770 --> 01:08:35.170 align:middle line:84%
If we take the 111 rates
and we divide them by 1.68,

01:08:35.170 --> 01:08:37.029 align:middle line:90%
we get the 100 rates.

01:08:37.029 --> 01:08:40.700 align:middle line:84%
And the relationship
between 110 is in between.

01:08:40.700 --> 01:08:43.689 align:middle line:84%
And again, it's related to
the silicone atomic density,

01:08:43.689 --> 01:08:47.000 align:middle line:84%
the number of atoms per square
centimeter that are available.

01:08:47.000 --> 01:08:48.729 align:middle line:84%
And you can believe
that because in order

01:08:48.729 --> 01:08:52.060 align:middle line:84%
to have the surface
reaction take place,

01:08:52.060 --> 01:08:54.640 align:middle line:84%
silicone bonds
have to be broken.

01:08:54.640 --> 01:08:56.229 align:middle line:84%
So and the number
of atoms available

01:08:56.229 --> 01:08:58.390 align:middle line:84%
is going to be
important in that case.

01:08:58.390 --> 01:09:01.640 align:middle line:90%


01:09:01.640 --> 01:09:05.920 align:middle line:84%
Oh, slide 36 is an
interesting example

01:09:05.920 --> 01:09:09.069 align:middle line:84%
of how even, you might say,
well, I only use 100 wafers.

01:09:09.069 --> 01:09:11.319 align:middle line:84%
What do I care about
oxidation on 110?

01:09:11.319 --> 01:09:15.460 align:middle line:84%
Well, you will care because
you often etch a trench

01:09:15.460 --> 01:09:17.350 align:middle line:84%
and then need to
oxidize the trench.

01:09:17.350 --> 01:09:20.319 align:middle line:84%
And of course, the trench
has different orientations

01:09:20.319 --> 01:09:22.300 align:middle line:90%
of its walls.

01:09:22.300 --> 01:09:25.390 align:middle line:84%
So this is a
Supreme 4 simulation

01:09:25.390 --> 01:09:28.330 align:middle line:84%
of a trench that was
etched into a 100 wafer.

01:09:28.330 --> 01:09:29.590 align:middle line:90%
So 100 means what?

01:09:29.590 --> 01:09:31.960 align:middle line:84%
It means the surface
of this wafer,

01:09:31.960 --> 01:09:35.290 align:middle line:84%
this plane, at the
very surface, is 100.

01:09:35.290 --> 01:09:37.819 align:middle line:84%
The 100 direction or
01 is pointing up.

01:09:37.819 --> 01:09:41.800 align:middle line:84%
But if once I start etching into
it, the planes that I expose

01:09:41.800 --> 01:09:43.540 align:middle line:84%
will be different
orientations, depending

01:09:43.540 --> 01:09:48.020 align:middle line:84%
on how I design my trench,
if I etch into the crystal.

01:09:48.020 --> 01:09:53.050 align:middle line:84%
So for example, I etch a trench
here down into the crystal.

01:09:53.050 --> 01:09:56.650 align:middle line:84%
The bottom face is 100
because the bottom face

01:09:56.650 --> 01:10:00.070 align:middle line:84%
is the same as the top
face, the face of the wafer.

01:10:00.070 --> 01:10:03.082 align:middle line:84%
But the sidewall,
this face right here,

01:10:03.082 --> 01:10:04.790 align:middle line:84%
the sidewall that I've
exposed, depending

01:10:04.790 --> 01:10:09.200 align:middle line:84%
on how I oriented this trench,
which is assumed to be square

01:10:09.200 --> 01:10:13.130 align:middle line:84%
or rectangular, the sidewall
face could be a 110,

01:10:13.130 --> 01:10:15.980 align:middle line:84%
depending on how I orient
it with respect to the flat.

01:10:15.980 --> 01:10:20.060 align:middle line:84%
So you can immediately expect
a different oxidation rate

01:10:20.060 --> 01:10:24.720 align:middle line:84%
on this face right here from
the oxidation on the bottom.

01:10:24.720 --> 01:10:26.540 align:middle line:84%
And this is an example
of a simulation

01:10:26.540 --> 01:10:31.010 align:middle line:84%
that was done 30 minutes
in 900 degrees C in water.

01:10:31.010 --> 01:10:34.280 align:middle line:84%
And you see the thicker oxide
that grew on the sidewall.

01:10:34.280 --> 01:10:36.230 align:middle line:84%
That's pretty much--
in this bulk region

01:10:36.230 --> 01:10:37.850 align:middle line:84%
of the sidewall-- that's
entirely due to the fact

01:10:37.850 --> 01:10:39.330 align:middle line:84%
that it's a different
orientation.

01:10:39.330 --> 01:10:41.570 align:middle line:84%
So this simulator took
that into account.

01:10:41.570 --> 01:10:44.840 align:middle line:84%
It's a little bit thicker
here than it is on the bottom.

01:10:44.840 --> 01:10:48.140 align:middle line:84%
What is this, this weird
looking corner effect?

01:10:48.140 --> 01:10:50.360 align:middle line:90%
That's not orientation so much.

01:10:50.360 --> 01:10:52.442 align:middle line:84%
This actually shows a
two dimensional effect

01:10:52.442 --> 01:10:54.650 align:middle line:84%
we'll talk about next time,
which is a stress effect.

01:10:54.650 --> 01:10:58.515 align:middle line:84%
When you're oxidizing a corner,
again, the oxide has to expand.

01:10:58.515 --> 01:11:00.890 align:middle line:84%
In a corner, it's a little
bit hard to do some expansion.

01:11:00.890 --> 01:11:02.682 align:middle line:84%
We're just going to
turn out, the oxidation

01:11:02.682 --> 01:11:04.340 align:middle line:84%
rate in these
sharp corners, it's

01:11:04.340 --> 01:11:06.360 align:middle line:84%
going to end up being
slower due to stress.

01:11:06.360 --> 01:11:08.600 align:middle line:84%
So that was taken account
into the simulation.

01:11:08.600 --> 01:11:11.190 align:middle line:90%


01:11:11.190 --> 01:11:14.450 align:middle line:84%
So let me just summarize
what we have from today.

01:11:14.450 --> 01:11:17.270 align:middle line:84%
The basic growth
mechanism is transport

01:11:17.270 --> 01:11:20.330 align:middle line:84%
through the oxide by diffusion
and then chemical reaction

01:11:20.330 --> 01:11:22.970 align:middle line:84%
at the interface as
opposed to the silicon

01:11:22.970 --> 01:11:26.270 align:middle line:84%
doesn't come out of the lattice
and go up to the surface.

01:11:26.270 --> 01:11:29.720 align:middle line:84%
We generally have a
linear/parabolic law

01:11:29.720 --> 01:11:31.472 align:middle line:90%
when we have planar oxidation.

01:11:31.472 --> 01:11:32.930 align:middle line:84%
Next time, we're
going to see there

01:11:32.930 --> 01:11:35.150 align:middle line:84%
are a lot of different
cases where it's non planar

01:11:35.150 --> 01:11:39.110 align:middle line:84%
and it's not just
simple linear parabolic.

01:11:39.110 --> 01:11:42.110 align:middle line:84%
The Deal-Grove model
isn't completely

01:11:42.110 --> 01:11:43.850 align:middle line:84%
accurate in the
thin oxide regime.

01:11:43.850 --> 01:11:47.810 align:middle line:84%
But it can be corrected by
using Han and Helms or Riesman

01:11:47.810 --> 01:11:49.070 align:middle line:90%
or you can use Massoud.

01:11:49.070 --> 01:11:52.550 align:middle line:84%
And they all can be designed to
converge to Deal-Grove for when

01:11:52.550 --> 01:11:55.220 align:middle line:84%
you're at thinner
and thicker oxides,

01:11:55.220 --> 01:11:57.470 align:middle line:90%
say above 200 angstroms.

01:11:57.470 --> 01:11:59.420 align:middle line:84%
And the growth rate
varies with orientation.

01:11:59.420 --> 01:12:04.297 align:middle line:84%
111 is the fastest and
100 being the slowest.

01:12:04.297 --> 01:12:06.380 align:middle line:84%
So that's mostly what I
wanted to cover for today.

01:12:06.380 --> 01:12:08.690 align:middle line:84%
I have a couple of
things for you though.

01:12:08.690 --> 01:12:12.130 align:middle line:90%
Your homework is going back.

01:12:12.130 --> 01:12:13.880 align:middle line:84%
So you can come up and
grab your homework.

01:12:13.880 --> 01:12:16.760 align:middle line:84%
It's been graded, up
here, homework number one.

01:12:16.760 --> 01:12:19.230 align:middle line:84%
And the solutions
are also up front.

01:12:19.230 --> 01:12:21.890 align:middle line:84%
So if you can come
on up and take

01:12:21.890 --> 01:12:24.830 align:middle line:84%
the homework and the solutions
for homework number one,

01:12:24.830 --> 01:12:25.350 align:middle line:90%
that's good.

01:12:25.350 --> 01:12:26.570 align:middle line:84%
If you weren't
here last time, you

01:12:26.570 --> 01:12:27.987 align:middle line:84%
didn't get to see
the Intel wafer,

01:12:27.987 --> 01:12:30.230 align:middle line:84%
I'm going to hand
it back after today.

01:12:30.230 --> 01:12:32.720 align:middle line:84%
So you're welcome to
take a look at it.

01:12:32.720 --> 01:12:35.320 align:middle line:90%


01:12:35.320 --> 01:12:37.070 align:middle line:84%
Oh, these are not in
any particular order.

01:12:37.070 --> 01:12:40.130 align:middle line:90%


01:12:40.130 --> 01:12:47.420 align:middle line:90%
STUDENT: [INAUDIBLE]

01:12:47.420 --> 01:12:48.350 align:middle line:90%
JUDY HOYT: What?

01:12:48.350 --> 01:12:50.420 align:middle line:84%
STUDENT: People extracted
the strained silicon?

01:12:50.420 --> 01:12:51.860 align:middle line:90%
JUDY HOYT: Yeah, people tried.

01:12:51.860 --> 01:12:53.150 align:middle line:90%
Jeff tried.

01:12:53.150 --> 01:12:56.930 align:middle line:84%
It seems to be pretty
darn close, a change

01:12:56.930 --> 01:12:59.900 align:middle line:84%
of 1% in the lattice
constant because I really

01:12:59.900 --> 01:13:05.180 align:middle line:84%
haven't changed the number of
atoms per square centimeter.

01:13:05.180 --> 01:13:08.120 align:middle line:84%
What does change is as soon as
you hit the silicon germanium,

01:13:08.120 --> 01:13:09.410 align:middle line:90%
oxidation rate goes way up.

01:13:09.410 --> 01:13:15.890 align:middle line:90%


01:13:15.890 --> 01:13:17.265 align:middle line:90%
STUDENT: [INAUDIBLE]

01:13:17.265 --> 01:13:37.000 align:middle line:90%