WEBVTT

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JUDY HOYT: The curvature
of the surface,

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and they want to look
at the oxidation rate

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as a function of how
curved the surface was.

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So this is a top
view or a bird's eye

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view here of his structure in
part A. But look on slide 3.

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Part B you're looking
at a side view here.

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So you can see he had etched
this cylindrical structure

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in the top.

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It's got a circular pattern.

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After preparing this surface,
he then put it in the furnace

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and grew this thermal oxide
on all those free surfaces,

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which is shown here in blue.

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That's the silicon dioxide.

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So that was a real experiment.

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And then, just like we
saw in the previous photo

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from Marcus and
Shang, he put down--

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he deposited
polycrystalline silicon,

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and that's simply used for
contrast during the SEM

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analysis and to
protect the oxide.

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So he has got this
polysilicon over everything,

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so from a top view all
you would see is the poly.

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And then to reveal
this oxide and what

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it looks like
looking down, he then

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lapped or polished
off the top, the poly.

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So he's about halfway
down the pillar, partway

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down the pillar.

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And then a top view is shown
here in the lower right.

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You can what he would see.

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You'd see this polysilicon,
which is, again,

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just a contrast medium.

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But you would see
this white ring here

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is the silicon that
was initially oxidized,

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and the blue ring all
around it is the oxide that

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grew on the inner
part of the cylinder

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and the outer part
of the cylinder.

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And then you can vary
the cylinder size.

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He can create a whole
lot of these cylinders

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on the same wafer.

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And look at how the
oxide grows, what

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its oxidation rate
is as a function

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of the radius of curvature.

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So it's a very nice
scientific experiment

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to look at these dependencies.

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If you go to slide number
4, these are some actual--

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the upper left is a scanning
electron micrograph.

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Not transmission,
but it's an SEM,

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so we're looking at
backscattered electrons.

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And there is some
contrast associated

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with the different materials.

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And this is sort of a typical
result of a plan view SEM.

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And an artist's drawing
of what is seen in the SEM

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is shown down here.

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So just looking
first at the SEM,

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this wall right here-- so now
we're looking down on the chip

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or on the surface of the
wafer, and he's etched a wall.

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Right?

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Looking down along
certain directions.

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This is probably along the 110,
the 110 equivalent, 110 planes.

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He's also etched
these regions here.

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Look at on the upper right.

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This is a cylinder of silicon.

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This darker region is the
SiO2, and surrounded by that

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is polysilicon.

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If you want to look down here,
it's a little bit easier.

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Everything's labeled.

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The thing you see right
away is that the oxide grown

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is thinner for both a
concave and a convex corner.

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So here's an example right here
where the silicon was rounded,

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but it's in a concave corner.

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And the thickness of the oxide,
which is this dark region,

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is much thinner here than it is
on a flat surface here or here.

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So it's thinning up when
you're oxidizing a corner,

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and even a convex
corner as well,

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the oxide growing
is a little thinner.

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In fact, the effect seems to
be a little more pronounced

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for this concave corner where
it really looks like there's not

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much oxide grown here at all.

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So let's say we're just
talking about the oxidation

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of the cylinders.

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Let's say just the silicon
cylinder, this pillar right

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here, and there are differences
in the oxidation rate

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along the different directions.

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What would you think?

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People have any suggestions?

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Anybody have any ideas?

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If I take a cylinder of
silicon that was etched--

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the wafer was originally 100 and
I have a cylindrical surface.

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Let's say I'm growing in
the thin oxide regime.

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Why do you think you might get
different thicknesses going

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around the perimeter
of the cylinder?

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What's one reason?

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Any ideas?

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How about thinking about what's
the orientation of those planes

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as I make a cylinder.

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If I etch a cylinder, I'm
exposing all different planar

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orientations.

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So locally, at each
point in the cylinder,

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there's sort of a different
crystal plane that's exposed.

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So you might expect, if
you're in the thin oxide

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regime, at least there
might be some differences

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due to the fact that I'm looking
at different orientations.

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So that's one effect.

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Any other ideas on
any other potential

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effects that you
might think about?

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Etching a small
cylinder compared

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to etching a flat wafer.

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Orientation is one.

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All right.

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Well, let's go ahead
and see, then we'll

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give the answer away in
the next couple slides.

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In fact, you go on to slide
5, and it doesn't completely

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give you the answer but it
shows you at least the results

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that Gao got.

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This is a plot from his
work, and the y-axis

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is the normalized
oxide thickness.

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So this is normalized
thickness to the thickness

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he grew on the flat
surface of the wafer.

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So he measured the
thickness on the flat part

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and then he measured the
thickness on these cylinder

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sides and he just divided.

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On the flat part he grew about
500 nanometers or half a micron

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of oxide on all surfaces.

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And by the way, a
flat surface here--

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he's plotting this normalized
thickness as a function of 1

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over r, where r is the
radius of the cylinder.

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So if you're on a flat surface,
the radius of curvature,

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the radius is infinity.

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So 1 over r is zero.

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So right at this point zero,
this corresponds to-- and all

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the curves converge,
that means you're

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oxidizing a flat surface.

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As you go out to higher
and higher, 1 over r,

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that means that r itself
is getting smaller

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so you're getting a tighter and
tighter-- a smaller diameter

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cylinder just so you
get yourself calibrated.

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And he's got two
different types of curves

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here, convex radii and concave.

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If we just go back one--

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whoops.

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One way, one slide
to slide number 4,

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here's a concave cylinder.

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So you're oxidizing on
the inside of a surface,

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like you're in the cave
here so you're oxidizing.

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And here's a convex surface.

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You have silica and
you're oxidizing

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on the outside of the cylinder.

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So you can do it either way.

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You can imagine
just geometrically,

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knowing that oxide
has to expand,

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it would be different if
you're oxidizing inside a cave,

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in a concave area, versus
outside on the outer surface.

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And in fact, you see this.

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Look at the concave
radii, all these

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dashed lines compared
to the solid lines.

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The normalized oxide thickness
at a given temperature,

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say here at 900 degrees,
is a lot thinner

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for the dashed
compared to the solid.

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So a concave cylinder, he found
a lot less lower oxidation

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rate, oxidizing the inside
of the cylinder as opposed

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to the outer surface.

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And in addition to you
see that difference right

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off the solid versus the
dashed, the other thing

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is look at it as a
function of temperature.

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1,200 degrees, it's
pretty darn flat.

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1,100, almost flat.

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So at those temperatures,
the oxidation rate

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doesn't seem to depend
very much on the curvature

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of the cylinder at all.

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It's oxidizing equally rapidly.

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But at low temperatures,
so should I

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go down to right
between 1,000 and 900,

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you get a big retardation
in the oxidation rate.

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So there's a much more
pronounced effect when

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you're at low temperatures.

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That's kind of consistent what
we saw in Marcus and Shang,

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the 950 degrees C pillar
oxide had a much more

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of a corner effect.

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So this is scientifically
in agreement

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with that qualitative
result. OK.

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So this was the actual
data that he got.

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And given this data,
then he had to come up

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with some kind of explanation.

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That's what we're
going to talk about.

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What are the physical mechanisms
to explain his results?

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The first one we already
said because we know it

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from last time,
relatively simple,

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is the fact that the crystal
orientation of the silicon

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is changing along the surface
of a cylinder or any surface

00:08:36.530 --> 00:08:38.150 align:middle line:90%
that's not flat.

00:08:38.150 --> 00:08:40.340 align:middle line:84%
And we know in the
thin oxide regime, that

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impacts the oxidation rate.

00:08:41.780 --> 00:08:43.610 align:middle line:84%
So at sufficiently
low temperatures

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or when he was growing
the thinner oxides,

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that's going to have an effect.

00:08:48.270 --> 00:08:51.380 align:middle line:84%
Now, of course, it's said
that on the flat regions

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he was growing 5,000 angstroms.

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That's not particularly thin.

00:08:55.498 --> 00:08:58.040 align:middle line:84%
So depending on the temperature
which he was growing that at,

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you probably don't expect a
huge effect in his results

00:09:02.728 --> 00:09:03.770 align:middle line:90%
from crystal orientation.

00:09:03.770 --> 00:09:06.440 align:middle line:84%
But nevertheless, you
have to take into account.

00:09:06.440 --> 00:09:08.450 align:middle line:84%
If you're oxidizing
a trench and you're

00:09:08.450 --> 00:09:10.610 align:middle line:84%
growing a very thin
oxide, the orientation

00:09:10.610 --> 00:09:11.520 align:middle line:90%
will impact the rate.

00:09:11.520 --> 00:09:13.640 align:middle line:90%
We saw that last time.

00:09:13.640 --> 00:09:17.240 align:middle line:84%
These other things,
though, are more telling

00:09:17.240 --> 00:09:19.700 align:middle line:84%
and more having to do
with what he actually saw.

00:09:19.700 --> 00:09:25.240 align:middle line:84%
The two dimensional
diffusion of the oxidant,

00:09:25.240 --> 00:09:27.710 align:middle line:84%
you need some kind of
numerical technique

00:09:27.710 --> 00:09:30.180 align:middle line:84%
to solve the diffusion equation
in multiple dimensions.

00:09:30.180 --> 00:09:34.230 align:middle line:84%
So if I just go back
a couple of slides--

00:09:34.230 --> 00:09:38.950 align:middle line:84%
let's go back to slide
now, say, number 4

00:09:38.950 --> 00:09:46.048 align:middle line:84%
and look at oxidizing
this concave corner.

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As the oxide grows, the
oxygen or the water,

00:09:48.820 --> 00:09:50.650 align:middle line:84%
whichever is he's
using as the oxidant,

00:09:50.650 --> 00:09:54.380 align:middle line:84%
has to diffuse in two dimensions
through this structure.

00:09:54.380 --> 00:09:57.790 align:middle line:84%
So any changes due to
orientation or whatever

00:09:57.790 --> 00:10:00.160 align:middle line:84%
in that thickness in which
it has to diffuse through

00:10:00.160 --> 00:10:01.390 align:middle line:90%
are then going to affect--

00:10:01.390 --> 00:10:03.730 align:middle line:84%
eventually will affect the
diffusion through that.

00:10:03.730 --> 00:10:05.620 align:middle line:84%
So we have a two
dimensional problem now.

00:10:05.620 --> 00:10:07.245 align:middle line:84%
Before we had a simple
one dimensional.

00:10:07.245 --> 00:10:10.060 align:middle line:84%
Deal-Grove we just had to
diffuse from the top surface

00:10:10.060 --> 00:10:11.230 align:middle line:90%
to the interface.

00:10:11.230 --> 00:10:13.420 align:middle line:84%
Well, we have to do
the same thing but now

00:10:13.420 --> 00:10:16.160 align:middle line:90%
in a two dimensional problem.

00:10:16.160 --> 00:10:22.390 align:middle line:84%
So as the shapes change, we'll
see diffusion of the oxidant

00:10:22.390 --> 00:10:26.270 align:middle line:90%
will take effect.

00:10:26.270 --> 00:10:30.120 align:middle line:84%
Let's go back then
to slide number 6.

00:10:30.120 --> 00:10:32.850 align:middle line:84%
The third one and probably
one of the most important

00:10:32.850 --> 00:10:36.450 align:middle line:84%
in explaining Gao's
results is the stress

00:10:36.450 --> 00:10:39.480 align:middle line:90%
due to the volume expansion.

00:10:39.480 --> 00:10:42.180 align:middle line:84%
We know that oxide layers
that are formed on silicon

00:10:42.180 --> 00:10:44.410 align:middle line:90%
are under compressive stress.

00:10:44.410 --> 00:10:44.910 align:middle line:90%
OK?

00:10:44.910 --> 00:10:46.650 align:middle line:84%
So they're kind of
being compressed

00:10:46.650 --> 00:10:48.387 align:middle line:90%
to get onto the wafer.

00:10:48.387 --> 00:10:50.220 align:middle line:84%
Even when they're in
the planar case, right?

00:10:50.220 --> 00:10:56.640 align:middle line:84%
Just on a planar silicon wafer
surface without any curvature.

00:10:56.640 --> 00:10:58.650 align:middle line:84%
These stresses can be
increased quite a bit

00:10:58.650 --> 00:11:03.120 align:middle line:84%
on a curved surface, because
the volume expansion is going

00:11:03.120 --> 00:11:04.530 align:middle line:90%
to be confined dimensionally.

00:11:04.530 --> 00:11:08.750 align:middle line:84%
So here's a way of picturing
this on a curved surface.

00:11:08.750 --> 00:11:11.250 align:middle line:84%
So the central region
that's colored in gray,

00:11:11.250 --> 00:11:14.070 align:middle line:84%
let's say that's
my silicon pillar.

00:11:14.070 --> 00:11:16.290 align:middle line:84%
Let's say I've grown a
certain amount of oxide

00:11:16.290 --> 00:11:18.360 align:middle line:84%
already that's on
this outer region.

00:11:18.360 --> 00:11:20.010 align:middle line:84%
That's the oxide
that I've grown,

00:11:20.010 --> 00:11:22.860 align:middle line:84%
and now I'm just growing
a little bit of new oxide.

00:11:22.860 --> 00:11:25.290 align:middle line:84%
Remember, in
oxidation the reaction

00:11:25.290 --> 00:11:27.400 align:middle line:84%
takes place at the interface,
not at the surface.

00:11:27.400 --> 00:11:31.590 align:middle line:84%
So to grow this little
band here of new oxide,

00:11:31.590 --> 00:11:35.520 align:middle line:84%
let's say a few angstroms, 10
angstroms that I'm growing,

00:11:35.520 --> 00:11:38.280 align:middle line:84%
the oxidant has to fuse
into the silicon surface,

00:11:38.280 --> 00:11:41.190 align:middle line:84%
has to react at the surface,
and then the new oxide

00:11:41.190 --> 00:11:44.200 align:middle line:84%
has to push out on the old
oxide to make room for itself.

00:11:44.200 --> 00:11:46.860 align:middle line:84%
It's got to push up and
push down and consume

00:11:46.860 --> 00:11:48.840 align:middle line:90%
some of the silicon.

00:11:48.840 --> 00:11:51.120 align:middle line:84%
When I was on a
flat silicon wafer,

00:11:51.120 --> 00:11:54.180 align:middle line:84%
the oxide could just
push up and push out

00:11:54.180 --> 00:11:56.740 align:middle line:84%
a little bit at the edge
of the wafer if it had to.

00:11:56.740 --> 00:11:57.910 align:middle line:90%
But I'm not.

00:11:57.910 --> 00:11:59.980 align:middle line:84%
I'm on a curved
surface here where

00:11:59.980 --> 00:12:05.480 align:middle line:84%
the oxide is completely
attached to itself, so to speak.

00:12:05.480 --> 00:12:09.760 align:middle line:84%
So it has to
actually expand along

00:12:09.760 --> 00:12:11.350 align:middle line:84%
the direction of
the circumference

00:12:11.350 --> 00:12:12.230 align:middle line:90%
in this direction.

00:12:12.230 --> 00:12:16.090 align:middle line:84%
So it has to do work, more
work on the oxide above it

00:12:16.090 --> 00:12:19.000 align:middle line:84%
than it would have to
do on a planar surface,

00:12:19.000 --> 00:12:22.600 align:middle line:84%
because it's really confined
all the way around that surface.

00:12:22.600 --> 00:12:26.503 align:middle line:90%


00:12:26.503 --> 00:12:27.920 align:middle line:84%
Really, the curved
surface has got

00:12:27.920 --> 00:12:29.420 align:middle line:84%
to flow in order to
get this to happen

00:12:29.420 --> 00:12:31.160 align:middle line:84%
So you have the solid
material this glass

00:12:31.160 --> 00:12:33.083 align:middle line:90%
that has to essentially flow.

00:12:33.083 --> 00:12:35.000 align:middle line:84%
So there's a certain
amount of stress built up

00:12:35.000 --> 00:12:37.580 align:middle line:90%
as a result of that.

00:12:37.580 --> 00:12:40.940 align:middle line:84%
The deformation of the
surface can be quite large.

00:12:40.940 --> 00:12:42.437 align:middle line:84%
Forget about the
cylinder for now.

00:12:42.437 --> 00:12:43.520 align:middle line:90%
That was Gao's experiment.

00:12:43.520 --> 00:12:47.690 align:middle line:84%
Let's do something a little
more realistic, like LOCOS.

00:12:47.690 --> 00:12:48.470 align:middle line:90%
What is LOCOS?

00:12:48.470 --> 00:12:51.650 align:middle line:84%
Remember, LOCOS is you
start with a silicon wafer.

00:12:51.650 --> 00:12:55.100 align:middle line:84%
You pattern part of it
with silicon nitride

00:12:55.100 --> 00:12:56.660 align:middle line:90%
under which the oxidant--

00:12:56.660 --> 00:12:58.760 align:middle line:84%
through which the
oxidant cannot diffuse.

00:12:58.760 --> 00:13:00.140 align:middle line:90%
So you're locally oxidizing.

00:13:00.140 --> 00:13:03.230 align:middle line:84%
You're not oxidizing over here
on the right in this lower

00:13:03.230 --> 00:13:03.920 align:middle line:90%
right picture.

00:13:03.920 --> 00:13:06.810 align:middle line:84%
You're oxidizing over here,
only over here on the left.

00:13:06.810 --> 00:13:10.340 align:middle line:84%
So you're locally
growing a thick oxide.

00:13:10.340 --> 00:13:11.990 align:middle line:90%
But look at the surface.

00:13:11.990 --> 00:13:15.020 align:middle line:84%
The top surface of
this oxide here.

00:13:15.020 --> 00:13:17.360 align:middle line:84%
Remember, at one point
when it first starts out,

00:13:17.360 --> 00:13:19.220 align:middle line:90%
it's relatively flat.

00:13:19.220 --> 00:13:21.710 align:middle line:84%
This top surface has
to stretch, in order

00:13:21.710 --> 00:13:25.530 align:middle line:84%
to maintain this shape,
by as much as 15%, 20%.

00:13:25.530 --> 00:13:31.430 align:middle line:84%
So the oxide is itself
having to stretch and deform.

00:13:31.430 --> 00:13:36.080 align:middle line:84%
All that involves doing
work and stress buildup.

00:13:36.080 --> 00:13:37.970 align:middle line:84%
Even, for example,
also the nitride

00:13:37.970 --> 00:13:42.170 align:middle line:84%
itself is pushing
down on the oxide.

00:13:42.170 --> 00:13:44.280 align:middle line:84%
In order to lift
this nitride layer,

00:13:44.280 --> 00:13:46.620 align:middle line:90%
the oxide has to do work.

00:13:46.620 --> 00:13:49.920 align:middle line:84%
So there's definitely stress
buildup in these regions

00:13:49.920 --> 00:13:53.100 align:middle line:84%
near corners or on
curved surfaces,

00:13:53.100 --> 00:13:58.110 align:middle line:84%
and that slows down
the oxidation rate.

00:13:58.110 --> 00:14:00.460 align:middle line:84%
So how does it slow
down the oxidation rate?

00:14:00.460 --> 00:14:04.620 align:middle line:84%
Well, let's look, for a
moment, at slide number 7.

00:14:04.620 --> 00:14:08.040 align:middle line:84%
These stresses can impact
a couple of things,

00:14:08.040 --> 00:14:11.040 align:middle line:84%
both transport of the
oxygen through the oxide,

00:14:11.040 --> 00:14:14.800 align:middle line:84%
like a diffusion process, and
the interface reaction rate.

00:14:14.800 --> 00:14:16.110 align:middle line:90%
And here's an example again.

00:14:16.110 --> 00:14:19.200 align:middle line:84%
This is showing a small
portion, a quarter

00:14:19.200 --> 00:14:21.780 align:middle line:84%
or a section of
a silicon surface

00:14:21.780 --> 00:14:24.960 align:middle line:84%
that's curved because it's
been etched or whatever,

00:14:24.960 --> 00:14:27.540 align:middle line:84%
and the oxide that's
already been grown here

00:14:27.540 --> 00:14:32.160 align:middle line:84%
is on the outside, this annulus
shown in the medium gray.

00:14:32.160 --> 00:14:35.400 align:middle line:84%
This little white annulus,
this little white region,

00:14:35.400 --> 00:14:37.560 align:middle line:84%
the nascent oxide--
nascent meaning new.

00:14:37.560 --> 00:14:39.900 align:middle line:84%
It's the new little piece
of oxide that's grown.

00:14:39.900 --> 00:14:43.560 align:middle line:84%
This little growing oxide
has to do mechanical work

00:14:43.560 --> 00:14:48.030 align:middle line:84%
against the oxide above it,
because it has to push it out,

00:14:48.030 --> 00:14:50.040 align:middle line:90%
and it's constrained.

00:14:50.040 --> 00:14:53.700 align:middle line:84%
So this mechanical
work actually can

00:14:53.700 --> 00:14:56.820 align:middle line:84%
modify the energy,
the activation energy

00:14:56.820 --> 00:14:59.610 align:middle line:84%
of the process, the
amount of energy

00:14:59.610 --> 00:15:03.280 align:middle line:84%
that it takes to do that
process at a given temperature.

00:15:03.280 --> 00:15:07.440 align:middle line:84%
So what we write is EA,
the activation energy

00:15:07.440 --> 00:15:11.670 align:middle line:84%
for the surface reaction
rate under the stress case.

00:15:11.670 --> 00:15:14.430 align:middle line:84%
When we're oxidizing
in a curved surface,

00:15:14.430 --> 00:15:17.280 align:middle line:84%
it's going to be equal
to EA on a flat surface,

00:15:17.280 --> 00:15:20.040 align:middle line:84%
whatever that might be--
say two electron volts--

00:15:20.040 --> 00:15:22.710 align:middle line:90%
Plus some extra terms.

00:15:22.710 --> 00:15:27.270 align:middle line:84%
And there's a term that
depends on the normal stress.

00:15:27.270 --> 00:15:29.010 align:middle line:90%
Sigma n is the normal stress.

00:15:29.010 --> 00:15:30.450 align:middle line:84%
Normal, so it's
in this direction,

00:15:30.450 --> 00:15:33.010 align:middle line:90%
in the radial direction.

00:15:33.010 --> 00:15:38.070 align:middle line:84%
The sigma n times some fitting
parameter VR plus sigma t

00:15:38.070 --> 00:15:40.710 align:middle line:84%
is the stress in the tangential
to the growing surface,

00:15:40.710 --> 00:15:44.670 align:middle line:84%
so along the circumference,
times some other fitting

00:15:44.670 --> 00:15:48.040 align:middle line:90%
parameter volume Vt.

00:15:48.040 --> 00:15:52.720 align:middle line:84%
So then k sub s in the
curved or stress case is just

00:15:52.720 --> 00:15:55.990 align:middle line:84%
the ordinary k sub s times
these two exponentials-- again,

00:15:55.990 --> 00:15:58.930 align:middle line:90%
this is an activation energy--

00:15:58.930 --> 00:16:02.600 align:middle line:84%
minus sigma n VR over
kt and a sigma t term.

00:16:02.600 --> 00:16:04.870 align:middle line:84%
So basically the
surface reaction rate

00:16:04.870 --> 00:16:06.490 align:middle line:90%
is going to go down.

00:16:06.490 --> 00:16:09.130 align:middle line:84%
The amount it goes down
will depend exponentially

00:16:09.130 --> 00:16:13.030 align:middle line:84%
on these two stress terms, and
these are fitting parameters

00:16:13.030 --> 00:16:17.292 align:middle line:84%
that we put in-- essentially
you can put in the model.

00:16:17.292 --> 00:16:19.750 align:middle line:84%
And so you can see then how
you can introduce a temperature

00:16:19.750 --> 00:16:21.070 align:middle line:90%
dependence to this effect.

00:16:21.070 --> 00:16:24.218 align:middle line:84%
Depending on how strongly
temperature dependent

00:16:24.218 --> 00:16:26.510 align:middle line:84%
is will depend on the numbers
you put in for VR and Vt.

00:16:26.510 --> 00:16:29.030 align:middle line:90%


00:16:29.030 --> 00:16:29.530 align:middle line:90%
OK.

00:16:29.530 --> 00:16:32.050 align:middle line:84%
So let's go on to slide
number 8, and that

00:16:32.050 --> 00:16:33.790 align:middle line:90%
was the surface reaction rate.

00:16:33.790 --> 00:16:37.690 align:middle line:84%
You can intuitively understand
how that surface reaction

00:16:37.690 --> 00:16:40.450 align:middle line:84%
might be affected by the fact
that it takes more energy.

00:16:40.450 --> 00:16:42.640 align:middle line:84%
You have to do work in
order for that reaction

00:16:42.640 --> 00:16:45.940 align:middle line:84%
to take place that you didn't
have to do on a flat surface.

00:16:45.940 --> 00:16:49.840 align:middle line:84%
How about the diffusivity
and the solubility?

00:16:49.840 --> 00:16:52.690 align:middle line:84%
Well, how could that
be affected by stress?

00:16:52.690 --> 00:16:58.300 align:middle line:84%
Well, this is meant to be
a highly schematic picture

00:16:58.300 --> 00:17:01.840 align:middle line:84%
of a ring structure that
would exist in silicon dioxide

00:17:01.840 --> 00:17:07.764 align:middle line:84%
where these black regions of
black circles are the silicon.

00:17:07.764 --> 00:17:11.589 align:middle line:90%


00:17:11.589 --> 00:17:16.270 align:middle line:84%
We have oxygen here
as well taking up

00:17:16.270 --> 00:17:19.420 align:middle line:84%
a certain amount of
space, say, in the bonds.

00:17:19.420 --> 00:17:22.569 align:middle line:84%
There is some sort
of region in here

00:17:22.569 --> 00:17:26.440 align:middle line:84%
where there is sort of
free space or interstitial

00:17:26.440 --> 00:17:30.380 align:middle line:84%
space where the oxidant
can diffuse through.

00:17:30.380 --> 00:17:34.040 align:middle line:84%
And let's say p is a hydrostatic
pressure in the growing oxide,

00:17:34.040 --> 00:17:36.980 align:middle line:84%
so there's a certain amount
of pressure in the solid.

00:17:36.980 --> 00:17:40.400 align:middle line:84%
Well, as you put the solid
under pressure, it reduces that.

00:17:40.400 --> 00:17:42.935 align:middle line:84%
You can imagine it reducing
the interstitial space

00:17:42.935 --> 00:17:43.560 align:middle line:90%
in the network.

00:17:43.560 --> 00:17:44.720 align:middle line:90%
So you have this network.

00:17:44.720 --> 00:17:47.190 align:middle line:84%
Although it's somewhat
random, it has this structure,

00:17:47.190 --> 00:17:49.220 align:middle line:84%
and inside the network
there's this open space.

00:17:49.220 --> 00:17:50.970 align:middle line:84%
As you put the whole
solid under pressure,

00:17:50.970 --> 00:17:53.480 align:middle line:84%
but that bond's
compressed, the amount

00:17:53.480 --> 00:17:54.980 align:middle line:84%
of interstitial
space in the network

00:17:54.980 --> 00:17:56.870 align:middle line:84%
is going to be reduced
to a certain extent.

00:17:56.870 --> 00:17:58.970 align:middle line:84%
And if you're oxidant,
your water molecule,

00:17:58.970 --> 00:18:00.800 align:middle line:84%
your oxygen molecule
has to diffuse

00:18:00.800 --> 00:18:02.210 align:middle line:90%
through that interstitial space.

00:18:02.210 --> 00:18:04.550 align:middle line:84%
You can imagine the diffusivity
or the diffusion rate

00:18:04.550 --> 00:18:06.170 align:middle line:90%
is going to go down.

00:18:06.170 --> 00:18:08.030 align:middle line:84%
As I compress on
the oxide, it makes

00:18:08.030 --> 00:18:10.970 align:middle line:84%
it harder for the molecules
to diffuse through.

00:18:10.970 --> 00:18:13.550 align:middle line:84%
It might even affect
the solubility,

00:18:13.550 --> 00:18:16.140 align:middle line:84%
as you might imagine,
hypothetically,

00:18:16.140 --> 00:18:19.310 align:middle line:84%
that the amount of
water vapor molecules

00:18:19.310 --> 00:18:21.380 align:middle line:84%
or oxygen you can
stuff in there maybe

00:18:21.380 --> 00:18:25.010 align:middle line:84%
would be affected by how much
pressure this solid is under.

00:18:25.010 --> 00:18:27.740 align:middle line:84%
So again, mathematically we
can do what we did before.

00:18:27.740 --> 00:18:30.790 align:middle line:84%
We write the stress
diffusivity as the unstressed--

00:18:30.790 --> 00:18:33.340 align:middle line:84%
or not unstressed, but the
normal planar diffusivity

00:18:33.340 --> 00:18:35.080 align:middle line:84%
through the oxide
times something that

00:18:35.080 --> 00:18:39.010 align:middle line:84%
goes exponentially it depends
on the pressure, which

00:18:39.010 --> 00:18:41.830 align:middle line:84%
is the hydrostatic pressure
is due to the oxide stress,

00:18:41.830 --> 00:18:46.900 align:middle line:84%
times a constant, which is a
fitting parameter VD over kt.

00:18:46.900 --> 00:18:50.740 align:middle line:84%
So again, D will go down as you
go under stress, diffusivity.

00:18:50.740 --> 00:18:52.930 align:middle line:84%
And you might hypothesize
the same thing

00:18:52.930 --> 00:18:55.930 align:middle line:84%
for the solubility,
a similar dependence.

00:18:55.930 --> 00:18:56.650 align:middle line:90%
OK.

00:18:56.650 --> 00:18:59.140 align:middle line:90%
Let's go on to slide number 9.

00:18:59.140 --> 00:19:01.750 align:middle line:84%
So just as shown
in your text, I'm

00:19:01.750 --> 00:19:03.910 align:middle line:84%
just summarizing then
the impact of stress

00:19:03.910 --> 00:19:05.920 align:middle line:84%
on our basic
oxidation parameters

00:19:05.920 --> 00:19:09.040 align:middle line:84%
that we know from
our Deal-Grove model.

00:19:09.040 --> 00:19:11.340 align:middle line:84%
The parameters from
Deal-Grove, k sub

00:19:11.340 --> 00:19:14.140 align:middle line:84%
s, the reaction rate
D and C star all

00:19:14.140 --> 00:19:16.180 align:middle line:84%
get modified in a
way that depends

00:19:16.180 --> 00:19:20.510 align:middle line:84%
on the stress in an
exponential fashion.

00:19:20.510 --> 00:19:22.960 align:middle line:90%
So it's very sensitive over kt.

00:19:22.960 --> 00:19:25.780 align:middle line:84%
So the stress effect
will be different

00:19:25.780 --> 00:19:28.640 align:middle line:90%
at different temperatures.

00:19:28.640 --> 00:19:32.420 align:middle line:84%
So these parameters,
these VR, Vt, VD, and Vs,

00:19:32.420 --> 00:19:33.750 align:middle line:90%
they're reaction volumes.

00:19:33.750 --> 00:19:35.780 align:middle line:90%
They are designed in SUPREM-IV.

00:19:35.780 --> 00:19:37.970 align:middle line:84%
They are put in as
fitting parameters.

00:19:37.970 --> 00:19:39.800 align:middle line:84%
So they have some
default values,

00:19:39.800 --> 00:19:42.320 align:middle line:84%
but people typically
modify them as needed

00:19:42.320 --> 00:19:44.570 align:middle line:84%
to fit the shape that's
observed experimentally

00:19:44.570 --> 00:19:49.430 align:middle line:84%
from LOCOS or from a pillar
or from your structure.

00:19:49.430 --> 00:19:52.460 align:middle line:84%
In practice, this
number V sub s ends up

00:19:52.460 --> 00:19:55.760 align:middle line:84%
being zero, which
essentially people believe

00:19:55.760 --> 00:19:57.950 align:middle line:84%
that the solubility
is not dramatically

00:19:57.950 --> 00:20:00.240 align:middle line:90%
itself impacted by the stress.

00:20:00.240 --> 00:20:05.180 align:middle line:84%
And so this extra term
here, e to the PVs

00:20:05.180 --> 00:20:06.620 align:middle line:90%
over kt equals to one.

00:20:06.620 --> 00:20:08.780 align:middle line:84%
And so people
generally believe it's

00:20:08.780 --> 00:20:14.360 align:middle line:84%
the k sub s and the D that are
being modified by the stress.

00:20:14.360 --> 00:20:16.950 align:middle line:90%


00:20:16.950 --> 00:20:17.450 align:middle line:90%
OK.

00:20:17.450 --> 00:20:20.040 align:middle line:84%
So let's go on to
page or slide 10.

00:20:20.040 --> 00:20:21.590 align:middle line:84%
There's one more
parameter that we

00:20:21.590 --> 00:20:25.220 align:middle line:84%
need because we said the oxide
is a glass and it's flowing,

00:20:25.220 --> 00:20:30.560 align:middle line:84%
and the glass flows differently
or its ability to flow

00:20:30.560 --> 00:20:33.450 align:middle line:90%
depends on temperature.

00:20:33.450 --> 00:20:39.650 align:middle line:84%
And that is expressed through
a viscosity parameter, eta.

00:20:39.650 --> 00:20:42.170 align:middle line:84%
And in fact, the stresses
that are in the glass

00:20:42.170 --> 00:20:45.320 align:middle line:84%
or in the oxide are high
enough that the viscosity

00:20:45.320 --> 00:20:47.780 align:middle line:84%
itself, its rate
of flow actually

00:20:47.780 --> 00:20:51.330 align:middle line:84%
is a function of the stress in
order to model it accurately.

00:20:51.330 --> 00:20:55.370 align:middle line:84%
So this is an equation
that's been derived

00:20:55.370 --> 00:20:58.190 align:middle line:84%
and that is used in
SUPREM that gives

00:20:58.190 --> 00:21:02.640 align:middle line:84%
reasonably good agreement with
the experimental observations.

00:21:02.640 --> 00:21:06.800 align:middle line:84%
So the viscosity as
a function of stress

00:21:06.800 --> 00:21:10.460 align:middle line:84%
is equal to the stress
independent viscosity eta,

00:21:10.460 --> 00:21:12.950 align:middle line:84%
but it's a function
of t, temperature,

00:21:12.950 --> 00:21:15.710 align:middle line:90%
times these sort of parameters.

00:21:15.710 --> 00:21:18.260 align:middle line:84%
A shear stress in the
oxide, so it's actually

00:21:18.260 --> 00:21:21.300 align:middle line:84%
linearly dependent on
the stress in the oxide.

00:21:21.300 --> 00:21:24.380 align:middle line:84%
So if this goes up,
the viscosity goes up,

00:21:24.380 --> 00:21:28.490 align:middle line:84%
and something that depends
on the hyperbolic sine.

00:21:28.490 --> 00:21:31.700 align:middle line:84%
So that's just an equation
that people have derived

00:21:31.700 --> 00:21:33.093 align:middle line:90%
more or less empirically.

00:21:33.093 --> 00:21:35.510 align:middle line:84%
So we have these parameters
that are changing with stress.

00:21:35.510 --> 00:21:38.640 align:middle line:90%


00:21:38.640 --> 00:21:40.940 align:middle line:90%
So let's go on to slide 11.

00:21:40.940 --> 00:21:42.690 align:middle line:84%
You can probably get
the impression by now

00:21:42.690 --> 00:21:46.050 align:middle line:84%
there's no way you can easily
do these calculations by hand.

00:21:46.050 --> 00:21:47.280 align:middle line:90%
Deal-Groves, piece of cake.

00:21:47.280 --> 00:21:48.870 align:middle line:90%
You sit down.

00:21:48.870 --> 00:21:51.475 align:middle line:84%
You just simply solve or
integrate the equations.

00:21:51.475 --> 00:21:52.350 align:middle line:90%
They're all analytic.

00:21:52.350 --> 00:21:53.490 align:middle line:90%
These are non-analytic.

00:21:53.490 --> 00:21:55.860 align:middle line:84%
The shape of the growing
oxide changes with time.

00:21:55.860 --> 00:21:59.373 align:middle line:84%
k sub s, D, and eta
all change with stress,

00:21:59.373 --> 00:22:01.290 align:middle line:84%
and the amount of stress
is changing with time

00:22:01.290 --> 00:22:03.930 align:middle line:84%
as the oxide has to push on
a thicker and thicker thing

00:22:03.930 --> 00:22:05.650 align:middle line:90%
above it.

00:22:05.650 --> 00:22:07.590 align:middle line:84%
So with all this
time dependence,

00:22:07.590 --> 00:22:09.480 align:middle line:84%
you really need a
numerical simulator.

00:22:09.480 --> 00:22:12.480 align:middle line:84%
You need a computer to do
these calculations for you

00:22:12.480 --> 00:22:14.670 align:middle line:90%
and to integrate them in time.

00:22:14.670 --> 00:22:16.140 align:middle line:84%
This is exactly
what has been done

00:22:16.140 --> 00:22:20.160 align:middle line:84%
in SUPREM-IV, which can
model the shapes of oxide

00:22:20.160 --> 00:22:21.030 align:middle line:90%
on curved surfaces.

00:22:21.030 --> 00:22:23.322 align:middle line:84%
You'll have a chance to do
this on one of your homework

00:22:23.322 --> 00:22:24.630 align:middle line:90%
problems, hopefully.

00:22:24.630 --> 00:22:27.840 align:middle line:84%
And this is a reasonably
common thing in IC technology,

00:22:27.840 --> 00:22:29.970 align:middle line:84%
that you don't
typically always grow

00:22:29.970 --> 00:22:31.795 align:middle line:84%
an oxide over the
entire surface.

00:22:31.795 --> 00:22:33.670 align:middle line:84%
Very often there are
patterns on the surface.

00:22:33.670 --> 00:22:37.680 align:middle line:84%
In fact, the very first step
is to isolate the active area

00:22:37.680 --> 00:22:41.520 align:middle line:84%
from the non-active
region, and it's often

00:22:41.520 --> 00:22:43.350 align:middle line:84%
done by the process
called LOCOS we

00:22:43.350 --> 00:22:44.910 align:middle line:90%
talked about the first lecture.

00:22:44.910 --> 00:22:48.420 align:middle line:84%
Poly buffered LOCOS,
slightly fancier version,

00:22:48.420 --> 00:22:50.100 align:middle line:90%
and shallow trench isolation.

00:22:50.100 --> 00:22:51.420 align:middle line:90%
So here's an example of LOCOS.

00:22:51.420 --> 00:22:54.030 align:middle line:84%
Remember, you start with
a silicon substrate.

00:22:54.030 --> 00:22:57.540 align:middle line:84%
You put down a thin oxide,
which is a pad oxide, which

00:22:57.540 --> 00:22:59.300 align:middle line:84%
reduces the stress
on the silicon

00:22:59.300 --> 00:23:01.800 align:middle line:84%
due to the silicon nitride, and
you put down silicon nitride

00:23:01.800 --> 00:23:02.550 align:middle line:90%
and pattern it.

00:23:02.550 --> 00:23:07.140 align:middle line:84%
Silicon nitride is a perfect
or reasonably good mask,

00:23:07.140 --> 00:23:09.270 align:middle line:84%
as oxygen cannot
diffuse through it.

00:23:09.270 --> 00:23:13.500 align:middle line:84%
So the oxidant diffuses
in here and only oxidizes

00:23:13.500 --> 00:23:15.150 align:middle line:90%
on the left side.

00:23:15.150 --> 00:23:16.820 align:middle line:84%
So this is what the
local structure just

00:23:16.820 --> 00:23:19.340 align:middle line:84%
in your mind, as a starting
structure before you

00:23:19.340 --> 00:23:22.810 align:middle line:84%
do oxidation, that's
what it looks like.

00:23:22.810 --> 00:23:26.110 align:middle line:84%
Let's go on to slide 12 and see
what that LOCOS structure now

00:23:26.110 --> 00:23:30.850 align:middle line:84%
looks like in a simulation,
the SUPREM simulation,

00:23:30.850 --> 00:23:32.330 align:middle line:90%
illustrating the stress effects.

00:23:32.330 --> 00:23:35.710 align:middle line:84%
So there are two simulations
that are shown here

00:23:35.710 --> 00:23:37.880 align:middle line:90%
and let's start on the left.

00:23:37.880 --> 00:23:41.310 align:middle line:84%
And what this is, the
y-axis is in microns

00:23:41.310 --> 00:23:45.440 align:middle line:84%
so that's vertical in depth
from the silicon surface,

00:23:45.440 --> 00:23:50.450 align:middle line:84%
and the x-axis is
in microns as well.

00:23:50.450 --> 00:23:52.550 align:middle line:84%
This point right
here corresponds

00:23:52.550 --> 00:23:55.400 align:middle line:90%
to where the mask edge is.

00:23:55.400 --> 00:23:58.350 align:middle line:84%
So we're doing a two
dimensional simulation.

00:23:58.350 --> 00:24:00.770 align:middle line:84%
And what you see is
this upper region

00:24:00.770 --> 00:24:03.830 align:middle line:84%
is the silicon nitride,
as you can see,

00:24:03.830 --> 00:24:07.220 align:middle line:84%
and the yellow region underneath
is the silicon surface.

00:24:07.220 --> 00:24:11.330 align:middle line:84%
Look how the silicon surface
is shaped in this case.

00:24:11.330 --> 00:24:15.530 align:middle line:90%
And the field oxide is out here.

00:24:15.530 --> 00:24:17.630 align:middle line:84%
Now an important
parameter that people

00:24:17.630 --> 00:24:20.383 align:middle line:84%
care about, if you're scaling
silicon circuits, is you

00:24:20.383 --> 00:24:22.550 align:middle line:84%
want to be able to put the
devices closer and closer

00:24:22.550 --> 00:24:25.470 align:middle line:84%
together, as close
as you can get them.

00:24:25.470 --> 00:24:28.010 align:middle line:84%
So in order to be
able to do that,

00:24:28.010 --> 00:24:30.380 align:middle line:84%
you need to grow the field
oxide where you want it,

00:24:30.380 --> 00:24:33.560 align:middle line:84%
and you don't want field
oxide in the active region.

00:24:33.560 --> 00:24:36.410 align:middle line:84%
Any part of the field oxide
that encroaches or pushes

00:24:36.410 --> 00:24:38.150 align:middle line:84%
its way into the
active region means

00:24:38.150 --> 00:24:40.640 align:middle line:84%
that it's scaling the
active region in which you

00:24:40.640 --> 00:24:43.340 align:middle line:84%
can make your device so you
don't have as much control.

00:24:43.340 --> 00:24:45.900 align:middle line:84%
You don't get a nice, well
defined active region.

00:24:45.900 --> 00:24:48.920 align:middle line:84%
So in this model,
you can see what's

00:24:48.920 --> 00:24:52.640 align:middle line:84%
happened is the field
oxide has encroached in.

00:24:52.640 --> 00:24:55.370 align:middle line:84%
The mask edge start
here at x equals zero,

00:24:55.370 --> 00:24:59.270 align:middle line:84%
it's encroached in from
x equals zero by about--

00:24:59.270 --> 00:25:02.300 align:middle line:90%
oh, about, say, half a micron.

00:25:02.300 --> 00:25:06.470 align:middle line:84%
The oxidant has diffused
in here and has oxidized

00:25:06.470 --> 00:25:08.520 align:middle line:90%
underneath the nitride.

00:25:08.520 --> 00:25:11.330 align:middle line:84%
So you have this region
where the silicon is sloped

00:25:11.330 --> 00:25:13.700 align:middle line:84%
and the encroachment
distance, I would quote here

00:25:13.700 --> 00:25:14.750 align:middle line:90%
as being half micron.

00:25:14.750 --> 00:25:20.650 align:middle line:84%
So your active device really
starts here in this region.

00:25:20.650 --> 00:25:23.340 align:middle line:84%
So this is the model run,
though, without stress.

00:25:23.340 --> 00:25:26.813 align:middle line:84%
And people did these models
and they found, oh, it

00:25:26.813 --> 00:25:28.980 align:middle line:84%
doesn't really agree with
what we get experimentally

00:25:28.980 --> 00:25:30.420 align:middle line:90%
when we grow LOCOS.

00:25:30.420 --> 00:25:32.280 align:middle line:84%
We do a cross-section
and we look at it.

00:25:32.280 --> 00:25:33.547 align:middle line:90%
It's not what it looks like.

00:25:33.547 --> 00:25:35.130 align:middle line:84%
In fact, what they
found it looks more

00:25:35.130 --> 00:25:37.170 align:middle line:90%
like what's on the right.

00:25:37.170 --> 00:25:39.350 align:middle line:84%
And what's on the right
is the SUPREM-IV model,

00:25:39.350 --> 00:25:42.830 align:middle line:84%
but this time turning on
the stress dependence.

00:25:42.830 --> 00:25:43.490 align:middle line:90%
OK?

00:25:43.490 --> 00:25:48.620 align:middle line:84%
So you have the diffusion
rate through the oxide,

00:25:48.620 --> 00:25:51.320 align:middle line:84%
the surface reaction rate
are now all going down

00:25:51.320 --> 00:25:53.000 align:middle line:90%
as a function of stress.

00:25:53.000 --> 00:25:55.310 align:middle line:90%
And where is their stress?

00:25:55.310 --> 00:25:57.170 align:middle line:84%
Well, there's a lot of
stress in this region

00:25:57.170 --> 00:25:59.600 align:middle line:84%
here, in this corner region,
because the oxide has to push

00:25:59.600 --> 00:26:02.370 align:middle line:90%
up against this nitride film.

00:26:02.370 --> 00:26:05.000 align:middle line:84%
So what you see here is
look at the amount of oxide

00:26:05.000 --> 00:26:07.760 align:middle line:84%
that was grown here in
this bird's beak area.

00:26:07.760 --> 00:26:10.940 align:middle line:84%
There's quite a bit of it has
grown, the thickness here.

00:26:10.940 --> 00:26:12.770 align:middle line:84%
Compared to, in the
bird's beak area,

00:26:12.770 --> 00:26:16.910 align:middle line:84%
when you turn the stress model
on not so much oxide has grown.

00:26:16.910 --> 00:26:17.600 align:middle line:90%
OK?

00:26:17.600 --> 00:26:21.800 align:middle line:84%
And as a result, with stress,
the amount of encroachment,

00:26:21.800 --> 00:26:24.590 align:middle line:84%
which I'm marking between
these two lines now here,

00:26:24.590 --> 00:26:25.910 align:middle line:90%
is quite a bit less.

00:26:25.910 --> 00:26:27.860 align:middle line:90%
It's about a factor of 2, maybe.

00:26:27.860 --> 00:26:29.360 align:middle line:90%
Here it encroached-- I'm sorry.

00:26:29.360 --> 00:26:30.530 align:middle line:90%
I said 0.5.

00:26:30.530 --> 00:26:32.660 align:middle line:84%
It actually encroached
by 0.6 microns.

00:26:32.660 --> 00:26:35.700 align:middle line:84%
The encroachment here, according
to my eye, is about 0.3.

00:26:35.700 --> 00:26:37.400 align:middle line:90%
So it's about half.

00:26:37.400 --> 00:26:39.920 align:middle line:84%
That's because stress was
included in the model.

00:26:39.920 --> 00:26:42.650 align:middle line:84%
This turns out to be a lot
closer to what people actually

00:26:42.650 --> 00:26:49.220 align:middle line:84%
measured when they
do LOCOS oxidation.

00:26:49.220 --> 00:26:50.300 align:middle line:90%
That's for LOCOS.

00:26:50.300 --> 00:26:51.830 align:middle line:84%
You say, well, not
too many people

00:26:51.830 --> 00:26:53.600 align:middle line:90%
do LOCOS in manufacturing.

00:26:53.600 --> 00:26:56.750 align:middle line:84%
Well, there is still some
LOCOS or LOCOS-like structures

00:26:56.750 --> 00:26:57.710 align:middle line:90%
being done.

00:26:57.710 --> 00:27:02.420 align:middle line:84%
People nowadays do shallow
trench isolation or STI.

00:27:02.420 --> 00:27:05.150 align:middle line:84%
Well, we still get corner
effects and stress effects

00:27:05.150 --> 00:27:06.140 align:middle line:90%
at STI.

00:27:06.140 --> 00:27:09.810 align:middle line:84%
And I've taken this from an
article or a short course

00:27:09.810 --> 00:27:12.050 align:middle line:90%
given at IBM back in 1998.

00:27:12.050 --> 00:27:13.670 align:middle line:90%
And what is shallow trench?

00:27:13.670 --> 00:27:14.930 align:middle line:90%
Remember what we have.

00:27:14.930 --> 00:27:17.330 align:middle line:84%
We have an active region
here shown in the center

00:27:17.330 --> 00:27:20.120 align:middle line:84%
under the gate, and
isolating the devices

00:27:20.120 --> 00:27:22.662 align:middle line:84%
we have field oxide, which is
this thick oxide on either side

00:27:22.662 --> 00:27:23.578 align:middle line:90%
all the way around it.

00:27:23.578 --> 00:27:25.010 align:middle line:84%
In fact, goes all
the way around.

00:27:25.010 --> 00:27:26.630 align:middle line:90%
We've cut a cross-section here.

00:27:26.630 --> 00:27:31.250 align:middle line:84%
And we do this by first
etching a trench in the silicon

00:27:31.250 --> 00:27:34.130 align:middle line:90%
and then doing some oxidation.

00:27:34.130 --> 00:27:37.370 align:middle line:84%
We do a little thermal
oxidation of that sidewall.

00:27:37.370 --> 00:27:40.040 align:middle line:84%
And the engineers,
the electrical folks,

00:27:40.040 --> 00:27:41.930 align:middle line:84%
are very interested
in the exact shape

00:27:41.930 --> 00:27:44.960 align:middle line:84%
of this corner,
because it turns out,

00:27:44.960 --> 00:27:46.880 align:middle line:84%
depending on the exact
shape of that corner

00:27:46.880 --> 00:27:51.140 align:middle line:84%
and how thick the thermal oxide
is, you'll get electric field

00:27:51.140 --> 00:27:54.680 align:middle line:84%
spikes or build ups right
there, or you'll get a region

00:27:54.680 --> 00:27:56.390 align:middle line:90%
where the oxide is weak.

00:27:56.390 --> 00:27:59.900 align:middle line:84%
And tends to break down and
when the gate goes over that,

00:27:59.900 --> 00:28:02.580 align:middle line:84%
the device can have
breakdown effects,

00:28:02.580 --> 00:28:07.710 align:middle line:84%
or you can actually cause
unusual transistor effects just

00:28:07.710 --> 00:28:12.150 align:middle line:84%
based on the shape of this
corner and this oxidation.

00:28:12.150 --> 00:28:14.610 align:middle line:84%
So there are two different
simulations shown here.

00:28:14.610 --> 00:28:17.640 align:middle line:84%
Up on the upper right
is without any stress.

00:28:17.640 --> 00:28:19.380 align:middle line:84%
And you see the
thickness of the oxide

00:28:19.380 --> 00:28:23.290 align:middle line:84%
as you go around the corner
is reasonably uniform.

00:28:23.290 --> 00:28:24.450 align:middle line:90%
It doesn't change too much.

00:28:24.450 --> 00:28:26.580 align:middle line:84%
With stress effects,
look at the corner.

00:28:26.580 --> 00:28:29.100 align:middle line:84%
The oxide thickness is
quite a bit thinner here.

00:28:29.100 --> 00:28:30.690 align:middle line:84%
It's thinned up in
the corner region,

00:28:30.690 --> 00:28:35.250 align:middle line:84%
compared to on the flat surface
or on the vertical surface.

00:28:35.250 --> 00:28:38.283 align:middle line:84%
And this is a problem because
that oxide gets too thin,

00:28:38.283 --> 00:28:40.200 align:middle line:84%
you're going to tend to
have breakdown effects

00:28:40.200 --> 00:28:42.900 align:middle line:84%
or it's going to affect
the electrical properties

00:28:42.900 --> 00:28:43.870 align:middle line:90%
of this device.

00:28:43.870 --> 00:28:46.257 align:middle line:84%
So it seems maybe to
your eye initially,

00:28:46.257 --> 00:28:47.590 align:middle line:90%
oh, what's the big deal of that?

00:28:47.590 --> 00:28:50.730 align:middle line:84%
But when you go to simulate
how these devices electrically

00:28:50.730 --> 00:28:52.390 align:middle line:84%
behave, it makes
a big difference.

00:28:52.390 --> 00:28:54.870 align:middle line:84%
So the stress
effect here comes in

00:28:54.870 --> 00:28:57.240 align:middle line:84%
because, again, you have
this curved surface that

00:28:57.240 --> 00:29:00.300 align:middle line:84%
needs to stretch, and there's
stress buildup whenever

00:29:00.300 --> 00:29:01.230 align:middle line:90%
you have a corner.

00:29:01.230 --> 00:29:03.780 align:middle line:84%
That tends to lower
the oxidation rate.

00:29:03.780 --> 00:29:06.330 align:middle line:84%
And that's also been
observed experimentally.

00:29:06.330 --> 00:29:09.880 align:middle line:90%


00:29:09.880 --> 00:29:14.850 align:middle line:84%
So let's go on to
slide number 14.

00:29:14.850 --> 00:29:17.820 align:middle line:84%
Stress also has another
interesting effect.

00:29:17.820 --> 00:29:19.290 align:middle line:84%
Let's say you're
not doing shapes.

00:29:19.290 --> 00:29:21.420 align:middle line:84%
So you don't do LOCOS, you
don't do shallow trench.

00:29:21.420 --> 00:29:23.100 align:middle line:84%
You're a very simple
process person.

00:29:23.100 --> 00:29:25.110 align:middle line:90%
You only oxidize flat wafers.

00:29:25.110 --> 00:29:25.800 align:middle line:90%
OK.

00:29:25.800 --> 00:29:27.160 align:middle line:90%
Fine.

00:29:27.160 --> 00:29:30.540 align:middle line:84%
You can still see stress effects
in the form of the history,

00:29:30.540 --> 00:29:33.630 align:middle line:84%
of what the history of the
oxide itself has gone through,

00:29:33.630 --> 00:29:35.550 align:middle line:90%
what thermal history.

00:29:35.550 --> 00:29:37.470 align:middle line:84%
Because we know
even planar growth

00:29:37.470 --> 00:29:41.160 align:middle line:84%
has some intrinsic stress
during the oxide growth.

00:29:41.160 --> 00:29:43.080 align:middle line:84%
The oxide is under a
certain amount of stress

00:29:43.080 --> 00:29:44.080 align:middle line:90%
even when it's planar.

00:29:44.080 --> 00:29:47.570 align:middle line:84%
It's just under more
stress when it's curved.

00:29:47.570 --> 00:29:50.270 align:middle line:84%
But this stress can
relax upon annealing.

00:29:50.270 --> 00:29:53.180 align:middle line:84%
At a high enough temperature,
above 900, 950, the glass

00:29:53.180 --> 00:29:56.780 align:middle line:84%
can flow a little bit and
the stress will relax.

00:29:56.780 --> 00:30:00.410 align:middle line:84%
So when people measure the
Deal-Grove linear parabolic

00:30:00.410 --> 00:30:03.230 align:middle line:84%
rate constants that
describe oxidation

00:30:03.230 --> 00:30:06.830 align:middle line:84%
in this intrinsic stress
state, the 1D stresses

00:30:06.830 --> 00:30:08.480 align:middle line:90%
are already accounted for.

00:30:08.480 --> 00:30:09.560 align:middle line:90%
OK?

00:30:09.560 --> 00:30:14.670 align:middle line:84%
But let's look at the experiment
that's shown up on this slide.

00:30:14.670 --> 00:30:18.410 align:middle line:84%
Let's say we do a
two step oxidation.

00:30:18.410 --> 00:30:20.840 align:middle line:84%
And you decide, OK,
I take two wafers.

00:30:20.840 --> 00:30:23.450 align:middle line:84%
I put one in the
furnace at 1,100 degrees

00:30:23.450 --> 00:30:25.730 align:middle line:84%
and I grow a certain
thickness of oxide.

00:30:25.730 --> 00:30:29.090 align:middle line:84%
Say, 1,000 angstroms
or whatever.

00:30:29.090 --> 00:30:33.390 align:middle line:84%
And I put another wafer
identical in a furnace at 800.

00:30:33.390 --> 00:30:35.610 align:middle line:84%
I grow the same thickness,
1,000 angstroms.

00:30:35.610 --> 00:30:39.110 align:middle line:84%
So I have two oxides,
both the same thickness,

00:30:39.110 --> 00:30:41.220 align:middle line:90%
grown at different temperatures.

00:30:41.220 --> 00:30:44.600 align:middle line:84%
However, they look the same but
they're not exactly the same.

00:30:44.600 --> 00:30:47.960 align:middle line:84%
The intrinsic stress in
this 1,100 degree C oxide

00:30:47.960 --> 00:30:51.590 align:middle line:84%
is going to be less than the
intrinsic stress in this 800

00:30:51.590 --> 00:30:53.450 align:middle line:84%
degree oxide because
the higher temperature,

00:30:53.450 --> 00:30:54.860 align:middle line:90%
the oxide can flow more.

00:30:54.860 --> 00:30:57.740 align:middle line:84%
There isn't as much
built in stress.

00:30:57.740 --> 00:30:58.250 align:middle line:90%
OK?

00:30:58.250 --> 00:31:00.500 align:middle line:84%
So you say, well, this is
under more stress than that.

00:31:00.500 --> 00:31:01.417 align:middle line:90%
What's the difference?

00:31:01.417 --> 00:31:04.010 align:middle line:84%
OK, maybe you'd see a little
less, little difference

00:31:04.010 --> 00:31:04.970 align:middle line:90%
in wafer curvature.

00:31:04.970 --> 00:31:06.440 align:middle line:84%
That's a way you
could measure it.

00:31:06.440 --> 00:31:07.100 align:middle line:90%
All right.

00:31:07.100 --> 00:31:07.940 align:middle line:90%
That's fine.

00:31:07.940 --> 00:31:10.350 align:middle line:84%
Now you go to the next
step in your process, says,

00:31:10.350 --> 00:31:15.200 align:middle line:84%
I want to grow another oxide
underneath these two at 800

00:31:15.200 --> 00:31:17.070 align:middle line:90%
degrees.

00:31:17.070 --> 00:31:18.930 align:middle line:84%
Now, if I hadn't said
anything about stress,

00:31:18.930 --> 00:31:22.230 align:middle line:84%
you'd say, well, Deal-Grove
would say I have 1,000 Angstrom

00:31:22.230 --> 00:31:23.890 align:middle line:90%
oxides here, 1,000 here.

00:31:23.890 --> 00:31:25.193 align:middle line:90%
I put them both in the furnace.

00:31:25.193 --> 00:31:26.610 align:middle line:84%
You just use
Deal-Grove, you would

00:31:26.610 --> 00:31:28.920 align:middle line:84%
get the exact same
thickness on both wafers.

00:31:28.920 --> 00:31:30.480 align:middle line:84%
Deal-Grove doesn't
tell you anything

00:31:30.480 --> 00:31:33.090 align:middle line:84%
having to do with the history
of how you grew the prior oxide

00:31:33.090 --> 00:31:33.660 align:middle line:90%
layer.

00:31:33.660 --> 00:31:35.580 align:middle line:84%
It just depends
on-- remember, just

00:31:35.580 --> 00:31:37.890 align:middle line:84%
the t sub i, the thickness,
the initial thickness.

00:31:37.890 --> 00:31:40.410 align:middle line:84%
It cares nothing
about what temperature

00:31:40.410 --> 00:31:42.180 align:middle line:90%
that oxide was grown at.

00:31:42.180 --> 00:31:43.980 align:middle line:84%
In reality, though,
if you go to look

00:31:43.980 --> 00:31:46.560 align:middle line:84%
at the wafer that comes out
of the furnace after this 800

00:31:46.560 --> 00:31:50.792 align:middle line:84%
degree C, these two wafers will
have different thicknesses.

00:31:50.792 --> 00:31:51.750 align:middle line:90%
And so how can that be?

00:31:51.750 --> 00:31:53.040 align:middle line:84%
They're both in
the same furnace.

00:31:53.040 --> 00:31:54.748 align:middle line:84%
They're sitting right
next to each other.

00:31:54.748 --> 00:31:56.910 align:middle line:84%
They had the exact same
thickness to start with.

00:31:56.910 --> 00:31:59.460 align:middle line:90%
Why would it matter?

00:31:59.460 --> 00:32:01.820 align:middle line:84%
Well, actually the wafer
oxidized at high temperature

00:32:01.820 --> 00:32:05.870 align:middle line:84%
is going to grow faster compared
to the 800 degrees, because it

00:32:05.870 --> 00:32:07.620 align:middle line:90%
has lower stress levels.

00:32:07.620 --> 00:32:10.790 align:middle line:84%
So it has a little
bit more open network.

00:32:10.790 --> 00:32:13.850 align:middle line:84%
So you can diffuse through
that oxide more rapidly,

00:32:13.850 --> 00:32:15.043 align:middle line:90%
and it's a k sub s.

00:32:15.043 --> 00:32:16.460 align:middle line:84%
Its surface reaction
rate is going

00:32:16.460 --> 00:32:18.020 align:middle line:84%
to be a little bit
faster because it

00:32:18.020 --> 00:32:19.890 align:middle line:90%
doesn't have the stress in it.

00:32:19.890 --> 00:32:21.560 align:middle line:84%
So you can see these
differences even

00:32:21.560 --> 00:32:24.170 align:middle line:84%
if you're not doing
shape surfaces, just

00:32:24.170 --> 00:32:25.170 align:middle line:90%
in planar surfaces.

00:32:25.170 --> 00:32:27.590 align:middle line:84%
Now we chose a very
extreme example.

00:32:27.590 --> 00:32:32.150 align:middle line:84%
1,100 degrees, which is quite
hot, above the flow point

00:32:32.150 --> 00:32:37.130 align:middle line:84%
of the glass at 800, which
is quite a bit different.

00:32:37.130 --> 00:32:39.777 align:middle line:84%
Maybe you typically wouldn't
do such a wide range,

00:32:39.777 --> 00:32:42.110 align:middle line:84%
but it really does tell you
that the history effects can

00:32:42.110 --> 00:32:45.710 align:middle line:84%
be important when you're
trying to do accurate modeling.

00:32:45.710 --> 00:32:50.310 align:middle line:84%
And in fact, most simulators
don't take this into account,

00:32:50.310 --> 00:32:52.160 align:middle line:84%
so it's something you'd
have to account for,

00:32:52.160 --> 00:32:54.020 align:middle line:84%
either empirically
in your process

00:32:54.020 --> 00:32:57.680 align:middle line:90%
or calculate it yourself.

00:32:57.680 --> 00:32:59.550 align:middle line:84%
That's sort of an
interesting effect

00:32:59.550 --> 00:33:01.215 align:middle line:90%
that goes beyond shape effects.

00:33:01.215 --> 00:33:04.090 align:middle line:90%


00:33:04.090 --> 00:33:06.360 align:middle line:84%
So let's go on to
slide 15, and we're

00:33:06.360 --> 00:33:08.700 align:middle line:84%
going to talk a little bit
about the evolution of what's

00:33:08.700 --> 00:33:10.680 align:middle line:90%
called recess LOCOS.

00:33:10.680 --> 00:33:12.990 align:middle line:84%
Before, earlier today
I talked about LOCOS

00:33:12.990 --> 00:33:14.640 align:middle line:84%
and we just said
we put down a mask,

00:33:14.640 --> 00:33:16.470 align:middle line:84%
we have a flat
surface to begin with,

00:33:16.470 --> 00:33:19.200 align:middle line:84%
and it becomes a
little strangely shaped

00:33:19.200 --> 00:33:21.180 align:middle line:90%
as we oxidize it.

00:33:21.180 --> 00:33:24.060 align:middle line:84%
Remember, we had quite
a bit of encroachment.

00:33:24.060 --> 00:33:27.660 align:middle line:84%
Even 0.2 or 0.3 microns of
encroachment is too much.

00:33:27.660 --> 00:33:29.040 align:middle line:90%
And not only that.

00:33:29.040 --> 00:33:30.770 align:middle line:90%
If you look back-- let's see.

00:33:30.770 --> 00:33:35.580 align:middle line:84%
I'm going go back a couple
slides to, say, slide 12.

00:33:35.580 --> 00:33:38.040 align:middle line:84%
When I take the
nitride off and I

00:33:38.040 --> 00:33:40.500 align:middle line:84%
go to use this as a
processing my chip,

00:33:40.500 --> 00:33:43.720 align:middle line:90%
the surface is not very planar.

00:33:43.720 --> 00:33:46.020 align:middle line:84%
So I have to do photolithography
now on this surface.

00:33:46.020 --> 00:33:46.895 align:middle line:90%
It's not very planar.

00:33:46.895 --> 00:33:50.200 align:middle line:84%
I have this big oxide hump
sticking up here in the field,

00:33:50.200 --> 00:33:51.870 align:middle line:84%
and the field is
much higher here.

00:33:51.870 --> 00:33:52.620 align:middle line:90%
Look at the field.

00:33:52.620 --> 00:33:57.510 align:middle line:84%
It's up here at 0.3 microns
above the original surface.

00:33:57.510 --> 00:34:01.440 align:middle line:84%
So I got this big mountain
sticking up over in the field.

00:34:01.440 --> 00:34:03.150 align:middle line:84%
Photolithography
doesn't like to be

00:34:03.150 --> 00:34:05.470 align:middle line:84%
done on surfaces that
are rough or surfaces

00:34:05.470 --> 00:34:06.700 align:middle line:90%
that have big steps.

00:34:06.700 --> 00:34:09.790 align:middle line:84%
The depth of focus
from your camera

00:34:09.790 --> 00:34:13.132 align:middle line:84%
or whatever, when you're
trying to focus down,

00:34:13.132 --> 00:34:14.590 align:middle line:84%
the smaller the
feature size you're

00:34:14.590 --> 00:34:17.860 align:middle line:84%
trying to focus on,
the depth of focus

00:34:17.860 --> 00:34:22.630 align:middle line:84%
becomes more and more difficult.
And so you the lithography tool

00:34:22.630 --> 00:34:24.550 align:middle line:84%
might not be able to
focus on this valley

00:34:24.550 --> 00:34:27.580 align:middle line:84%
when it's well focused on the
highest part of the mountain.

00:34:27.580 --> 00:34:30.800 align:middle line:84%
So there's a big requirement
with litho today,

00:34:30.800 --> 00:34:33.100 align:middle line:84%
forcing us to make
all our chips so we

00:34:33.100 --> 00:34:37.820 align:middle line:84%
can keep the surfaces as flat
as possible in every litho step.

00:34:37.820 --> 00:34:40.270 align:middle line:84%
So a step like this that
might have been acceptable,

00:34:40.270 --> 00:34:44.980 align:middle line:84%
0.3 micron step years ago
when people were making large

00:34:44.980 --> 00:34:48.460 align:middle line:84%
devices and the lithography
tools didn't use really high

00:34:48.460 --> 00:34:51.250 align:middle line:84%
power lenses, now we're
using a high power lens,

00:34:51.250 --> 00:34:53.270 align:middle line:84%
we cannot tolerate
such a big step.

00:34:53.270 --> 00:34:55.960 align:middle line:84%
So there's always a move
in silicon ice industry

00:34:55.960 --> 00:34:57.760 align:middle line:84%
to keep the surface
as flat as you can.

00:34:57.760 --> 00:35:00.560 align:middle line:90%
LOCOS doesn't do that.

00:35:00.560 --> 00:35:03.670 align:middle line:84%
So before people invented
shallow trench, STI--

00:35:03.670 --> 00:35:05.860 align:middle line:84%
which is, again, a
very planar process

00:35:05.860 --> 00:35:08.680 align:middle line:84%
because you use a
polishing process

00:35:08.680 --> 00:35:10.570 align:middle line:84%
to polish things
down at the end--

00:35:10.570 --> 00:35:12.310 align:middle line:84%
they did something
called recess LOCOS.

00:35:12.310 --> 00:35:13.313 align:middle line:90%
So this was an attempt--

00:35:13.313 --> 00:35:15.730 align:middle line:84%
well, you say, well, you have
this big mountain growing up

00:35:15.730 --> 00:35:17.080 align:middle line:90%
on the side.

00:35:17.080 --> 00:35:18.670 align:middle line:90%
Let's give it a handicap.

00:35:18.670 --> 00:35:21.460 align:middle line:84%
Let's etch the
silicon in the recess

00:35:21.460 --> 00:35:24.070 align:middle line:84%
to begin with so that
as the oxide grows,

00:35:24.070 --> 00:35:27.590 align:middle line:84%
when it's finished, it'll
end up being pretty flat.

00:35:27.590 --> 00:35:30.410 align:middle line:84%
And so you try to
compensate for that.

00:35:30.410 --> 00:35:32.158 align:middle line:84%
And this is an example
of how that works,

00:35:32.158 --> 00:35:33.700 align:middle line:84%
and I'll show you
it doesn't come out

00:35:33.700 --> 00:35:35.090 align:middle line:90%
exactly as flat as you want.

00:35:35.090 --> 00:35:37.870 align:middle line:84%
But let's say this is
a starting structure.

00:35:37.870 --> 00:35:41.610 align:middle line:84%
So I have nitride over here,
little pad ox underneath,

00:35:41.610 --> 00:35:44.080 align:middle line:84%
and I've etched this
recess over on the left.

00:35:44.080 --> 00:35:46.380 align:middle line:84%
The recess is maybe
0.3 microns deep,

00:35:46.380 --> 00:35:49.708 align:middle line:84%
and I'm doing that so that the
field oxide will be recessed

00:35:49.708 --> 00:35:51.000 align:middle line:90%
and I'll get a flatter surface.

00:35:51.000 --> 00:35:54.230 align:middle line:90%


00:35:54.230 --> 00:35:56.238 align:middle line:84%
And then I go after
certain timesteps.

00:35:56.238 --> 00:35:58.280 align:middle line:84%
So this is after I've
grown a little bit of oxide

00:35:58.280 --> 00:36:00.380 align:middle line:84%
in the center here,
and you can already

00:36:00.380 --> 00:36:03.290 align:middle line:84%
see, even for a thin
oxide, immediately

00:36:03.290 --> 00:36:04.370 align:middle line:90%
some corner effects.

00:36:04.370 --> 00:36:07.460 align:middle line:84%
The oxidation rate is a
little slower here and here

00:36:07.460 --> 00:36:08.870 align:middle line:90%
compared to on the flat.

00:36:08.870 --> 00:36:12.380 align:middle line:84%
And on the far
right, you can see

00:36:12.380 --> 00:36:15.150 align:middle line:84%
I'm starting to-- the corner
effects are still evident

00:36:15.150 --> 00:36:17.780 align:middle line:84%
and I'm starting to develop
this bird's beak thing.

00:36:17.780 --> 00:36:20.883 align:middle line:84%
The stress of a nitride is
causing the oxidation rate here

00:36:20.883 --> 00:36:22.550 align:middle line:84%
to be also a little
slower, and the fact

00:36:22.550 --> 00:36:25.620 align:middle line:90%
that it has to diffuse through.

00:36:25.620 --> 00:36:27.495 align:middle line:84%
So let's go to the
next time step.

00:36:27.495 --> 00:36:29.120 align:middle line:84%
This is sort of a
time evolution, which

00:36:29.120 --> 00:36:30.530 align:middle line:90%
is easy to do in the computer.

00:36:30.530 --> 00:36:33.650 align:middle line:84%
Here's the oxide again
after a certain period.

00:36:33.650 --> 00:36:34.500 align:middle line:90%
Once more.

00:36:34.500 --> 00:36:38.430 align:middle line:84%
And finally, after 90 minutes,
the structure is almost flat.

00:36:38.430 --> 00:36:42.530 align:middle line:84%
So I achieved what I wanted
in that in the flat regions

00:36:42.530 --> 00:36:44.600 align:middle line:84%
out far away, in the
field region here,

00:36:44.600 --> 00:36:48.530 align:middle line:84%
the surface of the oxide
is at zero or close to.

00:36:48.530 --> 00:36:50.180 align:middle line:84%
Not zero, but it's
at a height that's

00:36:50.180 --> 00:36:53.830 align:middle line:84%
just about equal to the
surface of the silicon.

00:36:53.830 --> 00:36:55.700 align:middle line:90%
So that's flat.

00:36:55.700 --> 00:36:58.080 align:middle line:84%
Once I strip the
nitride off and etch it,

00:36:58.080 --> 00:37:01.030 align:middle line:84%
I still have this little bump
except for the bird's head.

00:37:01.030 --> 00:37:02.530 align:middle line:84%
And if you look at
this, you can see

00:37:02.530 --> 00:37:03.960 align:middle line:84%
it looks like a bird's
head and a bird's beak

00:37:03.960 --> 00:37:06.040 align:middle line:84%
and the bird's eye would
be right about there.

00:37:06.040 --> 00:37:08.160 align:middle line:84%
So that we really
can't get away from,

00:37:08.160 --> 00:37:10.620 align:middle line:84%
and that's because
the oxidant diffuses

00:37:10.620 --> 00:37:13.680 align:middle line:84%
underneath that nitride,
causes some oxidation,

00:37:13.680 --> 00:37:17.080 align:middle line:84%
and the exact shape of the
bird's head depends on,

00:37:17.080 --> 00:37:20.310 align:middle line:84%
of course, what kind of
stress model you use.

00:37:20.310 --> 00:37:21.960 align:middle line:84%
But it's better
than it was before.

00:37:21.960 --> 00:37:24.780 align:middle line:84%
The lithography has a flat
surface here, a flat here,

00:37:24.780 --> 00:37:26.530 align:middle line:84%
but it's got this
little bump here,

00:37:26.530 --> 00:37:30.390 align:middle line:84%
which is not so
easy to get rid of.

00:37:30.390 --> 00:37:35.420 align:middle line:84%
So the next technology people
develop is shown on slide 17.

00:37:35.420 --> 00:37:37.490 align:middle line:84%
People thought of
this other effect,

00:37:37.490 --> 00:37:39.750 align:middle line:84%
other idea called
the Swami process.

00:37:39.750 --> 00:37:41.730 align:middle line:84%
This was done at
Hewlett Packard,

00:37:41.730 --> 00:37:44.730 align:middle line:84%
and this was even a
little more sophisticated.

00:37:44.730 --> 00:37:48.830 align:middle line:84%
They were trying to keep the
occident from getting around.

00:37:48.830 --> 00:37:51.440 align:middle line:84%
Remember, if we go back here--
let me go back for a second.

00:37:51.440 --> 00:37:55.580 align:middle line:84%
The starting structure here, the
problem is that at this corner,

00:37:55.580 --> 00:37:58.670 align:middle line:84%
the oxygen can diffuse straight
in and, right off the bat,

00:37:58.670 --> 00:38:00.080 align:middle line:84%
start oxidizing,
and that's going

00:38:00.080 --> 00:38:02.780 align:middle line:84%
to form where the bird's eye
or the bird's head ends up.

00:38:02.780 --> 00:38:06.500 align:middle line:84%
So they thought, all right, let
me put this nitride mask all

00:38:06.500 --> 00:38:08.900 align:middle line:84%
the way down this
the edge, and that'll

00:38:08.900 --> 00:38:11.060 align:middle line:84%
keep the oxygen
from going up there

00:38:11.060 --> 00:38:13.730 align:middle line:84%
and reduce that
amount of oxidation.

00:38:13.730 --> 00:38:15.600 align:middle line:84%
So this was the
Swami structures.

00:38:15.600 --> 00:38:17.400 align:middle line:84%
They're very similar
to recessed LOCOS.

00:38:17.400 --> 00:38:20.870 align:middle line:84%
You create the recess, but
they create an oxide mask here,

00:38:20.870 --> 00:38:23.250 align:middle line:90%
and they also put a paddocks--

00:38:23.250 --> 00:38:23.750 align:middle line:90%
I'm sorry.

00:38:23.750 --> 00:38:26.720 align:middle line:84%
A nitride mask along
the edge of the recess,

00:38:26.720 --> 00:38:29.860 align:middle line:84%
and even at the very
bottom, at the foot.

00:38:29.860 --> 00:38:32.560 align:middle line:84%
So trying to minimize the
oxidation in the active device

00:38:32.560 --> 00:38:37.990 align:middle line:84%
region by masking
the etched sidewall.

00:38:37.990 --> 00:38:39.702 align:middle line:84%
But they want to
do this in a way

00:38:39.702 --> 00:38:42.160 align:middle line:84%
that you don't build up too
much stress, because after all,

00:38:42.160 --> 00:38:44.202 align:middle line:84%
the oxidant will find its
way over here and start

00:38:44.202 --> 00:38:45.970 align:middle line:90%
growing in oxide.

00:38:45.970 --> 00:38:48.070 align:middle line:84%
If the nitride is
too thick here,

00:38:48.070 --> 00:38:49.878 align:middle line:90%
it can build up too much stress.

00:38:49.878 --> 00:38:51.670 align:middle line:84%
If you build up enough
stress in the oxide,

00:38:51.670 --> 00:38:53.530 align:middle line:84%
you can actually
crack the silicon

00:38:53.530 --> 00:38:55.340 align:middle line:90%
or introduce dislocations.

00:38:55.340 --> 00:38:57.340 align:middle line:84%
They're really not cracks,
they're dislocations,

00:38:57.340 --> 00:38:58.860 align:middle line:90%
but that can be a problem.

00:38:58.860 --> 00:39:00.770 align:middle line:84%
So you notice they
did this in a way

00:39:00.770 --> 00:39:03.620 align:middle line:84%
that the nitride is a little
thinner along the sidewall

00:39:03.620 --> 00:39:05.780 align:middle line:84%
and down here so
that the flap can

00:39:05.780 --> 00:39:07.910 align:middle line:84%
be lifted without too
much stress being induced.

00:39:07.910 --> 00:39:11.900 align:middle line:90%


00:39:11.900 --> 00:39:14.180 align:middle line:84%
So we're going to take
this structure now, put it

00:39:14.180 --> 00:39:17.750 align:middle line:84%
in the furnace at 1,000
degrees, in moisture or water

00:39:17.750 --> 00:39:20.240 align:middle line:84%
vapor for quite a
few minutes and see

00:39:20.240 --> 00:39:24.730 align:middle line:90%
what happens as we oxidize it.

00:39:24.730 --> 00:39:29.530 align:middle line:84%
So here on the left on slide
18 is the starting structure.

00:39:29.530 --> 00:39:32.400 align:middle line:84%
And now look after 450
minutes of oxidation.

00:39:32.400 --> 00:39:33.980 align:middle line:90%
This is the simulation.

00:39:33.980 --> 00:39:35.730 align:middle line:84%
Unfortunately, I'm
sorry about the colors,

00:39:35.730 --> 00:39:37.950 align:middle line:84%
but I think you can
see this top layer

00:39:37.950 --> 00:39:40.530 align:middle line:84%
is the original nitride,
silicon nitride.

00:39:40.530 --> 00:39:41.550 align:middle line:90%
Look at the flap.

00:39:41.550 --> 00:39:44.970 align:middle line:84%
The flap that was
along this sidewall

00:39:44.970 --> 00:39:47.400 align:middle line:84%
has been lifted up because
the oxidant has moved

00:39:47.400 --> 00:39:50.040 align:middle line:84%
its way under there
and pushed it up,

00:39:50.040 --> 00:39:53.490 align:middle line:84%
and then it's been-- it's
quasi vertical over here.

00:39:53.490 --> 00:39:56.340 align:middle line:84%
The flap has been pushed
out by the oxidant that

00:39:56.340 --> 00:39:59.890 align:middle line:84%
was coming under here from
the left and pushing on it.

00:39:59.890 --> 00:40:02.230 align:middle line:84%
So the thin flap lifts
up during oxidation,

00:40:02.230 --> 00:40:04.300 align:middle line:84%
but it's still
reasonably flat surface.

00:40:04.300 --> 00:40:06.520 align:middle line:84%
Not perfect, but
they're trying to reduce

00:40:06.520 --> 00:40:11.620 align:middle line:84%
the amount of bird's beaking
and bird's head that formed.

00:40:11.620 --> 00:40:13.720 align:middle line:90%
That's the simulation.

00:40:13.720 --> 00:40:19.370 align:middle line:84%
And in fact, on the
lower left, on slide 19,

00:40:19.370 --> 00:40:22.230 align:middle line:84%
the upper diagrams are the
same as what we just saw.

00:40:22.230 --> 00:40:24.590 align:middle line:84%
But if we turn to slide
19 in the lower left,

00:40:24.590 --> 00:40:25.610 align:middle line:90%
they have actually--

00:40:25.610 --> 00:40:27.440 align:middle line:84%
SUPREM-IV form can
actually be used

00:40:27.440 --> 00:40:30.170 align:middle line:84%
to calculate stress
contours, so it's actually

00:40:30.170 --> 00:40:33.080 align:middle line:84%
calculating the stress in the
oxide of course at each point,

00:40:33.080 --> 00:40:36.710 align:middle line:84%
and at each point,
assigning an oxidation rate.

00:40:36.710 --> 00:40:41.750 align:middle line:84%
That's how it knows how
to calculate the shape.

00:40:41.750 --> 00:40:43.970 align:middle line:84%
There is some stress
buildup or concentration

00:40:43.970 --> 00:40:47.390 align:middle line:84%
here here in this yellow
region, so these different--

00:40:47.390 --> 00:40:49.520 align:middle line:84%
I don't have stress numbers
associated with this,

00:40:49.520 --> 00:40:50.310 align:middle line:90%
to be honest.

00:40:50.310 --> 00:40:52.940 align:middle line:84%
But if you run
SUPREM-IV, it'll tell you

00:40:52.940 --> 00:40:54.830 align:middle line:84%
in each color what that
corresponds to what

00:40:54.830 --> 00:40:57.620 align:middle line:90%
stress level in the oxide.

00:40:57.620 --> 00:40:59.670 align:middle line:84%
On the lower right, which
is kind of interesting,

00:40:59.670 --> 00:41:00.770 align:middle line:90%
this is an actual--

00:41:00.770 --> 00:41:04.440 align:middle line:84%
from the HP process, this is
the actual experimental data.

00:41:04.440 --> 00:41:06.140 align:middle line:90%
So they grew this.

00:41:06.140 --> 00:41:08.480 align:middle line:84%
They made this Swami
process, and then they

00:41:08.480 --> 00:41:11.900 align:middle line:84%
did a polished cross-section,
scanning an electron

00:41:11.900 --> 00:41:12.650 align:middle line:90%
micrograph.

00:41:12.650 --> 00:41:15.680 align:middle line:84%
And this is the act of
silicon region afterwards.

00:41:15.680 --> 00:41:20.980 align:middle line:84%
This region right here is
the oxide and the nitride.

00:41:20.980 --> 00:41:25.050 align:middle line:84%
And you can see if you compare
the simulation upper right

00:41:25.050 --> 00:41:28.290 align:middle line:84%
to the lower right, the actual
data, it's not that far off.

00:41:28.290 --> 00:41:30.510 align:middle line:84%
It reproduces some
of the key features.

00:41:30.510 --> 00:41:32.400 align:middle line:84%
You can see this
little divot here,

00:41:32.400 --> 00:41:35.430 align:middle line:90%
this little V shaped well.

00:41:35.430 --> 00:41:38.350 align:middle line:84%
Well, that's also seen
in the simulation.

00:41:38.350 --> 00:41:41.580 align:middle line:84%
So the stress effects did a
reasonably good job of getting

00:41:41.580 --> 00:41:44.070 align:middle line:84%
the shape right here at
the corner is not perfect,

00:41:44.070 --> 00:41:45.600 align:middle line:90%
but it's close.

00:41:45.600 --> 00:41:48.840 align:middle line:84%
The actual device shown
here, the actual data

00:41:48.840 --> 00:41:51.780 align:middle line:84%
seems to have a little bit
more of a bird's head, then.

00:41:51.780 --> 00:41:53.910 align:middle line:84%
Maybe the stress effects
weren't perfectly modeled,

00:41:53.910 --> 00:41:58.200 align:middle line:90%
but it's pretty darn close.

00:41:58.200 --> 00:42:01.620 align:middle line:84%
People spend a lot of time
calibrating their stress models

00:42:01.620 --> 00:42:03.240 align:middle line:84%
and their stress
coefficients to try

00:42:03.240 --> 00:42:07.570 align:middle line:84%
to get close to what's
measured experimentally.

00:42:07.570 --> 00:42:08.500 align:middle line:90%
OK.

00:42:08.500 --> 00:42:12.300 align:middle line:90%
Let's go on to slide 20.

00:42:12.300 --> 00:42:14.190 align:middle line:84%
What I just talked
about is specifically

00:42:14.190 --> 00:42:17.190 align:middle line:84%
related to seamless
processing devices,

00:42:17.190 --> 00:42:19.095 align:middle line:90%
trying to make the active area.

00:42:19.095 --> 00:42:20.910 align:middle line:84%
By definition, when
you're doing that,

00:42:20.910 --> 00:42:23.940 align:middle line:84%
you're doing a
patterned oxidation,

00:42:23.940 --> 00:42:26.110 align:middle line:90%
and you have stress effects.

00:42:26.110 --> 00:42:28.470 align:middle line:84%
Here's a neat application
of stress effects

00:42:28.470 --> 00:42:30.442 align:middle line:84%
that has nothing
to do with CMOS.

00:42:30.442 --> 00:42:32.400 align:middle line:84%
For those of you who are
interested in nanotech

00:42:32.400 --> 00:42:35.670 align:middle line:84%
or nanostructures,
on page 20, this

00:42:35.670 --> 00:42:38.520 align:middle line:84%
is an application of
stress oxidation effects

00:42:38.520 --> 00:42:40.290 align:middle line:90%
to form nanowires.

00:42:40.290 --> 00:42:43.980 align:middle line:84%
I took this from a PhD thesis
of Harvey Lu at Stanford.

00:42:43.980 --> 00:42:47.652 align:middle line:90%
He graduated in 1995.

00:42:47.652 --> 00:42:49.860 align:middle line:84%
And what he was doing, and
a lot of people since then

00:42:49.860 --> 00:42:51.810 align:middle line:84%
have done the same
thing, he was first

00:42:51.810 --> 00:42:55.320 align:middle line:84%
etching a very small,
tiny pillar in silicon.

00:42:55.320 --> 00:42:58.050 align:middle line:90%
So a tall pillar.

00:42:58.050 --> 00:43:00.060 align:middle line:90%
Say, a couple microns tall.

00:43:00.060 --> 00:43:02.280 align:middle line:84%
But where the starting
diameter of the pillar

00:43:02.280 --> 00:43:04.500 align:middle line:84%
would maybe only be a
couple hundred angstroms.

00:43:04.500 --> 00:43:06.100 align:middle line:90%
Say 200 angstroms.

00:43:06.100 --> 00:43:08.580 align:middle line:84%
So he starts with this
little needle of silicon.

00:43:08.580 --> 00:43:12.130 align:middle line:84%
And you can do a 200 Angstrom
pillar or a 300 Angstrom

00:43:12.130 --> 00:43:15.520 align:middle line:84%
diameter pillar with a very
good electron beam lithography

00:43:15.520 --> 00:43:16.555 align:middle line:90%
machine.

00:43:16.555 --> 00:43:18.430 align:middle line:84%
At least in those days,
that's about as small

00:43:18.430 --> 00:43:21.550 align:middle line:84%
as people could get-- a
couple hundred angstroms.

00:43:21.550 --> 00:43:23.770 align:middle line:84%
You patterned the dot and
then you etched the silicon

00:43:23.770 --> 00:43:25.780 align:middle line:90%
into a nice pillar.

00:43:25.780 --> 00:43:28.120 align:middle line:84%
And then he took that
pillar, those pillars,

00:43:28.120 --> 00:43:30.860 align:middle line:84%
and he put it in the
furnace and oxidized it.

00:43:30.860 --> 00:43:33.520 align:middle line:84%
And the idea was he wanted to
get the pillar diameter down.

00:43:33.520 --> 00:43:36.620 align:middle line:84%
He could not lithographically
make the pillar any smaller,

00:43:36.620 --> 00:43:39.450 align:middle line:84%
but he wanted to look at quantum
effects, current conduction,

00:43:39.450 --> 00:43:41.110 align:middle line:90%
in this very thin wire.

00:43:41.110 --> 00:43:42.610 align:middle line:84%
He wanted to get
it thinner somehow.

00:43:42.610 --> 00:43:45.550 align:middle line:84%
And an obvious way to make it
thinner is oxidize it, right?

00:43:45.550 --> 00:43:48.228 align:middle line:84%
As you oxidize, you will
consume from the top

00:43:48.228 --> 00:43:50.770 align:middle line:84%
and from all the way around the
sides of the little cylinder,

00:43:50.770 --> 00:43:53.658 align:middle line:84%
you will consume the silicon
by the SiO2 production.

00:43:53.658 --> 00:43:55.450 align:middle line:84%
And then you can strip
the oxide at the end

00:43:55.450 --> 00:43:58.613 align:middle line:84%
if you want and make electrical
measurement which turns out not

00:43:58.613 --> 00:44:00.280 align:middle line:84%
to be so easy to
contact a pillar that's

00:44:00.280 --> 00:44:01.810 align:middle line:90%
only 20 angstroms.

00:44:01.810 --> 00:44:04.000 align:middle line:84%
A little minor
technical problem,

00:44:04.000 --> 00:44:05.390 align:middle line:90%
but he was able to do it.

00:44:05.390 --> 00:44:08.032 align:middle line:84%
And in fact, this is
a cross-section TEM,

00:44:08.032 --> 00:44:09.490 align:middle line:84%
a transmission
electron micrograph,

00:44:09.490 --> 00:44:11.290 align:middle line:90%
of one of Harvey's pillars.

00:44:11.290 --> 00:44:14.560 align:middle line:84%
And what you can see here is
two nanometers in diameter.

00:44:14.560 --> 00:44:15.690 align:middle line:90%
So it's 20 angstroms.

00:44:15.690 --> 00:44:18.310 align:middle line:84%
So it's a really
tiny wire of silicon.

00:44:18.310 --> 00:44:21.490 align:middle line:84%
And this amorphous looking
material all the way around it

00:44:21.490 --> 00:44:26.660 align:middle line:84%
on the sides is the silicon
dioxide that he grew.

00:44:26.660 --> 00:44:29.180 align:middle line:84%
This particular one
was oxidized in dry ox

00:44:29.180 --> 00:44:32.195 align:middle line:90%
at 875 for about 10 hours.

00:44:32.195 --> 00:44:35.357 align:middle line:90%


00:44:35.357 --> 00:44:37.190 align:middle line:84%
And you can actually
see the lattice fringes

00:44:37.190 --> 00:44:39.050 align:middle line:84%
in the single crystal
silicon that remained.

00:44:39.050 --> 00:44:40.508 align:middle line:84%
What was really
neat is what Harvey

00:44:40.508 --> 00:44:43.040 align:middle line:84%
found is, depending on the
temperature that he did this,

00:44:43.040 --> 00:44:47.310 align:middle line:84%
he could oxidize that
pillar and it would stop.

00:44:47.310 --> 00:44:49.620 align:middle line:84%
The oxidation rate would go
way down when he got down

00:44:49.620 --> 00:44:52.380 align:middle line:90%
to a certain diameter pillar.

00:44:52.380 --> 00:44:55.440 align:middle line:84%
And so that's quite
convenient because then you

00:44:55.440 --> 00:44:57.390 align:middle line:84%
could use this to
form reasonably--

00:44:57.390 --> 00:44:59.460 align:middle line:84%
let's say lithography
is not perfect, right?

00:44:59.460 --> 00:45:01.170 align:middle line:84%
Some of the dots
came out when he

00:45:01.170 --> 00:45:04.897 align:middle line:84%
patterned at 200
angstroms, 250, maybe, 210.

00:45:04.897 --> 00:45:05.730 align:middle line:90%
Something like that.

00:45:05.730 --> 00:45:06.630 align:middle line:90%
Litho is not perfect.

00:45:06.630 --> 00:45:09.000 align:middle line:84%
But he could get a
reasonably wide range

00:45:09.000 --> 00:45:11.790 align:middle line:90%
in the starting pillar diameter.

00:45:11.790 --> 00:45:14.880 align:middle line:84%
The final pillar diameter, if
he oxidized it long enough,

00:45:14.880 --> 00:45:16.900 align:middle line:90%
was pretty darn uniform.

00:45:16.900 --> 00:45:19.830 align:middle line:84%
Which was kind of nice,
because you have a process now

00:45:19.830 --> 00:45:24.553 align:middle line:84%
that's physically slowing
down as it gets smaller.

00:45:24.553 --> 00:45:26.220 align:middle line:84%
And so they all end
up-- even though you

00:45:26.220 --> 00:45:27.570 align:middle line:84%
have a large distribution
to begin with,

00:45:27.570 --> 00:45:29.400 align:middle line:84%
they all end up very close
to a single diameter.

00:45:29.400 --> 00:45:30.570 align:middle line:84%
If you're trying
to make some device

00:45:30.570 --> 00:45:32.130 align:middle line:84%
or some interesting
quantum thing,

00:45:32.130 --> 00:45:35.430 align:middle line:84%
that was a very
nice side effect.

00:45:35.430 --> 00:45:38.910 align:middle line:84%
It's a side effect of, he
believed, the stress effect.

00:45:38.910 --> 00:45:41.460 align:middle line:84%
That there was stress
built up in the silicon

00:45:41.460 --> 00:45:44.280 align:middle line:84%
and in the oxide in such
a way that the oxidation

00:45:44.280 --> 00:45:47.160 align:middle line:84%
rate, as the pillar got
thinner and thinner,

00:45:47.160 --> 00:45:49.440 align:middle line:84%
the oxidation rate
would go down,

00:45:49.440 --> 00:45:51.120 align:middle line:84%
and it ended up
being somewhat self

00:45:51.120 --> 00:45:53.610 align:middle line:84%
limiting at a certain
diameter pillar.

00:45:53.610 --> 00:45:55.620 align:middle line:84%
It's not exactly the
same kind of effect

00:45:55.620 --> 00:45:59.327 align:middle line:84%
that's going on perfectly
as LOCOS, but it's related.

00:45:59.327 --> 00:46:01.410 align:middle line:84%
It gives you an idea that
you can use these stress

00:46:01.410 --> 00:46:04.320 align:middle line:84%
effects in processes to create
structures that you wouldn't

00:46:04.320 --> 00:46:06.580 align:middle line:90%
be able to otherwise create.

00:46:06.580 --> 00:46:08.370 align:middle line:84%
If he didn't have
this effect, he'd

00:46:08.370 --> 00:46:10.830 align:middle line:84%
have a very good chance
of really ending up

00:46:10.830 --> 00:46:15.000 align:middle line:84%
with very few pillars that
were of similar diameter.

00:46:15.000 --> 00:46:17.900 align:middle line:90%


00:46:17.900 --> 00:46:18.400 align:middle line:90%
OK.

00:46:18.400 --> 00:46:19.870 align:middle line:90%
So just as a point to make.

00:46:19.870 --> 00:46:21.640 align:middle line:84%
And if you're working
on quantum devices,

00:46:21.640 --> 00:46:25.180 align:middle line:84%
you'll see a lot of work where
people do shaped oxidation.

00:46:25.180 --> 00:46:26.440 align:middle line:90%
They don't just make pillars.

00:46:26.440 --> 00:46:29.110 align:middle line:84%
They make small structures
with electron beam.

00:46:29.110 --> 00:46:32.770 align:middle line:84%
They pattern a silicon
on insulator layer,

00:46:32.770 --> 00:46:35.350 align:middle line:84%
and they take advantage
of corner effects

00:46:35.350 --> 00:46:37.330 align:middle line:84%
to create funny looking
shaped structures that

00:46:37.330 --> 00:46:38.538 align:middle line:90%
are used for quantum devices.

00:46:38.538 --> 00:46:40.660 align:middle line:84%
So shaped oxidation
stress effects

00:46:40.660 --> 00:46:43.780 align:middle line:84%
are used all the time today in
research other than just people

00:46:43.780 --> 00:46:47.090 align:middle line:90%
doing CMOS devices.

00:46:47.090 --> 00:46:50.080 align:middle line:84%
So what I want to go
on to beyond the stress

00:46:50.080 --> 00:46:54.190 align:middle line:84%
is to talk about now a more
atomistic or microscopic

00:46:54.190 --> 00:46:56.990 align:middle line:90%
or point defect based model.

00:46:56.990 --> 00:47:01.000 align:middle line:84%
So far we've been using
macroscopic models.

00:47:01.000 --> 00:47:03.010 align:middle line:90%
We write chemical equations.

00:47:03.010 --> 00:47:04.870 align:middle line:84%
We talk about
diffusion coefficients.

00:47:04.870 --> 00:47:06.700 align:middle line:84%
We're not really looking
at an atomic scale

00:47:06.700 --> 00:47:10.525 align:middle line:84%
of what's going on at the
interface or in the oxide.

00:47:10.525 --> 00:47:12.700 align:middle line:84%
There's also a very
atomistic picture

00:47:12.700 --> 00:47:15.890 align:middle line:84%
of the process that turns
out to be very important.

00:47:15.890 --> 00:47:17.770 align:middle line:84%
It's important
because it explains

00:47:17.770 --> 00:47:19.270 align:middle line:84%
certain physical
phenomena that are

00:47:19.270 --> 00:47:22.240 align:middle line:84%
critical to fabrication
such as oxidation

00:47:22.240 --> 00:47:27.340 align:middle line:84%
enhanced diffusion,
oxidation retarded diffusion,

00:47:27.340 --> 00:47:31.240 align:middle line:84%
and these things that tell
us that the oxidation process

00:47:31.240 --> 00:47:34.570 align:middle line:84%
itself dramatically changes
the point defect distribution

00:47:34.570 --> 00:47:37.510 align:middle line:90%
in the near surface region.

00:47:37.510 --> 00:47:39.580 align:middle line:84%
Most of the ideas are
related to the fact

00:47:39.580 --> 00:47:41.830 align:middle line:84%
that there is volume
expansion going on

00:47:41.830 --> 00:47:44.150 align:middle line:84%
and the need for free
volume at that interface.

00:47:44.150 --> 00:47:48.830 align:middle line:84%
And so point defects play a
role in that volume expansion.

00:47:48.830 --> 00:47:51.640 align:middle line:90%


00:47:51.640 --> 00:47:55.200 align:middle line:84%
So let's go on to
slide number 22.

00:47:55.200 --> 00:47:56.958 align:middle line:84%
This is a kind of
ugly looking equation.

00:47:56.958 --> 00:47:58.500 align:middle line:84%
I don't really like
to use it, so you

00:47:58.500 --> 00:48:00.393 align:middle line:84%
don't have to look
at every single term

00:48:00.393 --> 00:48:01.560 align:middle line:90%
and understand it perfectly.

00:48:01.560 --> 00:48:04.447 align:middle line:84%
But it sort of shows
qualitatively what

00:48:04.447 --> 00:48:05.280 align:middle line:90%
we're talking about.

00:48:05.280 --> 00:48:07.530 align:middle line:84%
This is an equation we
talked about in chapter 3

00:48:07.530 --> 00:48:10.440 align:middle line:84%
when we were discussing
SiO2 precipitation

00:48:10.440 --> 00:48:11.880 align:middle line:90%
and using gettering.

00:48:11.880 --> 00:48:15.120 align:middle line:84%
But the same
equation essentially

00:48:15.120 --> 00:48:19.020 align:middle line:84%
applies here when we're
oxidizing a silicon surface.

00:48:19.020 --> 00:48:21.120 align:middle line:84%
And what it tells
us is that we have

00:48:21.120 --> 00:48:23.550 align:middle line:84%
a certain number of
silicon lattice sites,

00:48:23.550 --> 00:48:29.280 align:middle line:84%
the silicon sub SI, combining
with a certain number of oxygen

00:48:29.280 --> 00:48:34.470 align:middle line:84%
species and combining with a
certain number of vacancies.

00:48:34.470 --> 00:48:38.190 align:middle line:84%
Notice that vacancies are
being consumed in this process,

00:48:38.190 --> 00:48:40.170 align:middle line:90%
forming SiO2.

00:48:40.170 --> 00:48:43.530 align:middle line:84%
Vacancies at the surface are
being consumed, presumably,

00:48:43.530 --> 00:48:46.230 align:middle line:84%
because we need space
for that oxide to move,

00:48:46.230 --> 00:48:47.870 align:middle line:90%
to push around a little bit.

00:48:47.870 --> 00:48:51.220 align:middle line:84%
So consuming a vacancy will
help you find extra space,

00:48:51.220 --> 00:48:52.790 align:middle line:90%
essentially, at the interface.

00:48:52.790 --> 00:48:54.790 align:middle line:84%
So I consume a
vacancy on the left.

00:48:54.790 --> 00:48:58.390 align:middle line:84%
I form SiO2, and
I actually form--

00:48:58.390 --> 00:49:01.570 align:middle line:84%
on the right side I also
create these interstitials,

00:49:01.570 --> 00:49:03.280 align:middle line:84%
a certain number
of interstitials.

00:49:03.280 --> 00:49:04.370 align:middle line:90%
Plus stress, of course.

00:49:04.370 --> 00:49:06.620 align:middle line:90%
We talked about stress.

00:49:06.620 --> 00:49:09.130 align:middle line:84%
So this oxidation reaction
happening right here

00:49:09.130 --> 00:49:12.460 align:middle line:84%
at the borderline between the
pink and the white region here

00:49:12.460 --> 00:49:14.872 align:middle line:84%
at star, they can
consume vacancies

00:49:14.872 --> 00:49:16.330 align:middle line:84%
or they can generate
interstitials.

00:49:16.330 --> 00:49:19.060 align:middle line:84%
So I've got a vacancy going
in, interstitial going out

00:49:19.060 --> 00:49:22.780 align:middle line:84%
either way in order to
provide the volume needed

00:49:22.780 --> 00:49:23.750 align:middle line:90%
for the reaction.

00:49:23.750 --> 00:49:29.530 align:middle line:84%
So we need room to put these
oxygen atoms at that interface.

00:49:29.530 --> 00:49:33.220 align:middle line:84%
And that room comes from
vacancies and also picking out

00:49:33.220 --> 00:49:38.040 align:middle line:84%
silicon atoms from the lattice,
creating interstitials.

00:49:38.040 --> 00:49:40.950 align:middle line:90%
So let's go on to slide 23.

00:49:40.950 --> 00:49:43.830 align:middle line:84%
This generation of interstitials
is extremely important

00:49:43.830 --> 00:49:46.830 align:middle line:84%
because it is used to
explain the non-local effects

00:49:46.830 --> 00:49:50.010 align:middle line:84%
of oxidation, such as oxidation
enhanced diffusion, which

00:49:50.010 --> 00:49:54.420 align:middle line:84%
we'll show, or oxidation
retarded diffusion.

00:49:54.420 --> 00:49:55.890 align:middle line:84%
That's because the
interstitial can

00:49:55.890 --> 00:49:57.900 align:middle line:84%
diffuse very far
from the interface

00:49:57.900 --> 00:50:00.480 align:middle line:84%
and change the
diffusivity of dopants.

00:50:00.480 --> 00:50:04.260 align:middle line:84%
So this shows how these
models can actually be used.

00:50:04.260 --> 00:50:08.670 align:middle line:84%
At this interface, about 1 in
1,000 of the oxidized silicon

00:50:08.670 --> 00:50:10.770 align:middle line:90%
atoms is injected into the bulk.

00:50:10.770 --> 00:50:14.250 align:middle line:84%
So for every thousand
atoms that I oxidize,

00:50:14.250 --> 00:50:17.520 align:middle line:84%
one atom goes into the bulk that
wouldn't be there ordinarily

00:50:17.520 --> 00:50:20.670 align:middle line:90%
if I were not oxidizing.

00:50:20.670 --> 00:50:22.140 align:middle line:90%
So it doesn't sound like a lot.

00:50:22.140 --> 00:50:24.420 align:middle line:84%
Only one atom out of
1,000 goes into the bulk

00:50:24.420 --> 00:50:25.830 align:middle line:90%
of the ones out of the surface.

00:50:25.830 --> 00:50:27.247 align:middle line:84%
OK, that doesn't
sound like a lot.

00:50:27.247 --> 00:50:29.850 align:middle line:84%
But their impact is
huge in oxidation

00:50:29.850 --> 00:50:32.280 align:middle line:84%
enhanced diffusion,
oxidation retarded diffusion,

00:50:32.280 --> 00:50:34.260 align:middle line:84%
and the growth of
stacking faults.

00:50:34.260 --> 00:50:37.370 align:middle line:90%
So it's a very important effect.

00:50:37.370 --> 00:50:40.520 align:middle line:84%
And on slide 24,
we have a picture

00:50:40.520 --> 00:50:44.810 align:middle line:84%
from your text, a very
schematic picture of what's

00:50:44.810 --> 00:50:46.820 align:middle line:90%
going on when we do oxidation.

00:50:46.820 --> 00:50:49.070 align:middle line:84%
So this is a LOCOS structure
you recognize by now.

00:50:49.070 --> 00:50:50.840 align:middle line:90%
Here's my nitride on the left.

00:50:50.840 --> 00:50:53.510 align:middle line:84%
There's no oxidation
taking place on the left.

00:50:53.510 --> 00:50:55.850 align:middle line:84%
I am actively
oxidizing on the right.

00:50:55.850 --> 00:50:59.097 align:middle line:84%
You can see this thick layer
of oxide that I've grown.

00:50:59.097 --> 00:51:00.680 align:middle line:84%
At the surface here
there are a number

00:51:00.680 --> 00:51:02.390 align:middle line:90%
of processes taking place.

00:51:02.390 --> 00:51:07.020 align:middle line:84%
This G is meant to represent
the generation of interstitials

00:51:07.020 --> 00:51:07.745 align:middle line:90%
or the injection.

00:51:07.745 --> 00:51:09.120 align:middle line:84%
It's a certain
rate of generation

00:51:09.120 --> 00:51:11.517 align:middle line:84%
of interstitials that get
injected and go into the bulk.

00:51:11.517 --> 00:51:12.100 align:middle line:90%
Here they are.

00:51:12.100 --> 00:51:14.190 align:middle line:90%
Here's an interstitial.

00:51:14.190 --> 00:51:16.680 align:middle line:84%
There's also a flux
of interstitials

00:51:16.680 --> 00:51:19.000 align:middle line:84%
from the bulk to the surface,
and they can recombine.

00:51:19.000 --> 00:51:21.420 align:middle line:84%
So interstitials can be
generated during oxidation.

00:51:21.420 --> 00:51:23.290 align:middle line:84%
They can also find
their way to the surface

00:51:23.290 --> 00:51:25.140 align:middle line:90%
and they can recombine there.

00:51:25.140 --> 00:51:27.600 align:middle line:84%
The interstitials can recombine
in the bulk with vacancy.

00:51:27.600 --> 00:51:30.490 align:middle line:84%
They can find a
vacancy and go away.

00:51:30.490 --> 00:51:32.760 align:middle line:84%
They can diffuse over
to this surface, which

00:51:32.760 --> 00:51:36.720 align:middle line:84%
is a non-oxidizing or
inert place in recombine,

00:51:36.720 --> 00:51:38.160 align:middle line:90%
or they can go into the bulk.

00:51:38.160 --> 00:51:41.230 align:middle line:84%
And here, here's a buried
dopant marker layer,

00:51:41.230 --> 00:51:43.950 align:middle line:84%
which started out looking
like this dark green.

00:51:43.950 --> 00:51:45.240 align:middle line:90%
It was very narrow.

00:51:45.240 --> 00:51:47.670 align:middle line:84%
And lo and behold,
underneath where

00:51:47.670 --> 00:51:50.610 align:middle line:84%
you're doing the oxidation,
the boron diffuses a lot,

00:51:50.610 --> 00:51:52.260 align:middle line:90%
so it becomes very wide.

00:51:52.260 --> 00:51:55.080 align:middle line:84%
So they come in here and they
disturb the boron diffusion.

00:51:55.080 --> 00:51:56.020 align:middle line:90%
They enhance it.

00:51:56.020 --> 00:51:59.400 align:middle line:84%
And so the junction here, the
width of this boron profile

00:51:59.400 --> 00:52:02.700 align:middle line:84%
is now quite wide underneath
the oxide where it was growing.

00:52:02.700 --> 00:52:07.280 align:middle line:84%
Under the nitride where there
was no oxidation taking place

00:52:07.280 --> 00:52:08.350 align:middle line:90%
I have inert diffusion.

00:52:08.350 --> 00:52:10.870 align:middle line:84%
There's very little
broad motion.

00:52:10.870 --> 00:52:13.250 align:middle line:84%
And these stacking faults,
which are in the substrate.

00:52:13.250 --> 00:52:16.000 align:middle line:84%
Let's say we have a way of
introducing stacking faults.

00:52:16.000 --> 00:52:17.950 align:middle line:90%
They are found to grow.

00:52:17.950 --> 00:52:20.412 align:middle line:84%
They actually get
longer under the region

00:52:20.412 --> 00:52:21.370 align:middle line:90%
where the oxidation is.

00:52:21.370 --> 00:52:24.580 align:middle line:84%
So these are all indirect
means that people

00:52:24.580 --> 00:52:26.530 align:middle line:84%
use to understand what's
going on in the point

00:52:26.530 --> 00:52:29.300 align:middle line:90%
defects in this model.

00:52:29.300 --> 00:52:31.030 align:middle line:90%
So let's go on to page 25.

00:52:31.030 --> 00:52:33.010 align:middle line:84%
I mentioned about
the stacking fault.

00:52:33.010 --> 00:52:35.320 align:middle line:84%
I don't want to go through
detailed crystallography,

00:52:35.320 --> 00:52:37.480 align:middle line:84%
but stacking faults
occur when you

00:52:37.480 --> 00:52:39.200 align:middle line:90%
have an extra layer of atoms.

00:52:39.200 --> 00:52:42.335 align:middle line:84%
So if I look here
on the lower left,

00:52:42.335 --> 00:52:44.570 align:middle line:84%
it has a certain
stacking sequence.

00:52:44.570 --> 00:52:47.060 align:middle line:84%
I insert this extra
layer of atoms.

00:52:47.060 --> 00:52:50.090 align:middle line:84%
It has a certain layer and a
certain length in the crystal

00:52:50.090 --> 00:52:52.020 align:middle line:90%
right at this point.

00:52:52.020 --> 00:52:54.110 align:middle line:84%
So it's not a complete
layer that goes all the way

00:52:54.110 --> 00:52:56.700 align:middle line:84%
throughout the crystal, but it
doesn't-- so it doesn't belong

00:52:56.700 --> 00:52:57.200 align:middle line:90%
there.

00:52:57.200 --> 00:52:59.870 align:middle line:84%
But I can grow this
fault. I can make it

00:52:59.870 --> 00:53:03.020 align:middle line:84%
longer within the crystal
by adding extra silicon

00:53:03.020 --> 00:53:06.480 align:middle line:84%
interstitial atoms, people
believe, on either edge of it.

00:53:06.480 --> 00:53:10.160 align:middle line:84%
So stacking faults, people
use their growth rate

00:53:10.160 --> 00:53:12.230 align:middle line:84%
as a measure of
the injection rate

00:53:12.230 --> 00:53:15.960 align:middle line:84%
or the injection of
silicon interstitials

00:53:15.960 --> 00:53:18.300 align:middle line:90%
if they grow or shrink.

00:53:18.300 --> 00:53:20.790 align:middle line:84%
On slide 26 here's
some actual photographs

00:53:20.790 --> 00:53:22.350 align:middle line:90%
or optical micrographs.

00:53:22.350 --> 00:53:23.612 align:middle line:90%
The surfaces were etched.

00:53:23.612 --> 00:53:25.320 align:middle line:84%
Remember, we talked
about defect etching.

00:53:25.320 --> 00:53:27.330 align:middle line:84%
You can put it in
a solution of acid

00:53:27.330 --> 00:53:32.520 align:middle line:84%
that will preferentially etch
where the crystal is imperfect.

00:53:32.520 --> 00:53:35.160 align:middle line:84%
And in fact, these
are stacking faults.

00:53:35.160 --> 00:53:36.330 align:middle line:90%
There are pictures of them.

00:53:36.330 --> 00:53:38.250 align:middle line:90%
They have a certain size here.

00:53:38.250 --> 00:53:39.960 align:middle line:84%
These are all--
scale bar up here

00:53:39.960 --> 00:53:42.300 align:middle line:90%
is 10 microns is shown up here.

00:53:42.300 --> 00:53:47.170 align:middle line:84%
After 10, 20, 30, 40, 50 all
the way down to 60 minutes,

00:53:47.170 --> 00:53:48.990 align:middle line:84%
these are all at the
same magnification.

00:53:48.990 --> 00:53:51.060 align:middle line:84%
These stacking faults,
these crystal defects

00:53:51.060 --> 00:53:54.330 align:middle line:84%
have actually grown quite
a bit at 1,200 degrees.

00:53:54.330 --> 00:53:58.050 align:middle line:84%
This is during oxidation, during
high temperature oxidation

00:53:58.050 --> 00:53:58.740 align:middle line:90%
at the surface.

00:53:58.740 --> 00:54:00.870 align:middle line:84%
These were down
under in the bulk,

00:54:00.870 --> 00:54:02.910 align:middle line:84%
so people believe
that that oxidation

00:54:02.910 --> 00:54:06.285 align:middle line:84%
was injecting interstitials and
causing these defects to grow.

00:54:06.285 --> 00:54:09.920 align:middle line:90%


00:54:09.920 --> 00:54:12.670 align:middle line:84%
In fact, we go on
to slide 27, this

00:54:12.670 --> 00:54:17.080 align:middle line:84%
is some data from the literature
on the stacking fault length

00:54:17.080 --> 00:54:20.080 align:middle line:84%
here on the y-axis as
a function of oxidation

00:54:20.080 --> 00:54:23.020 align:middle line:90%
time at different temperatures.

00:54:23.020 --> 00:54:25.220 align:middle line:90%
Here 1,200 is up at the top.

00:54:25.220 --> 00:54:27.160 align:middle line:90%
This is 1,050.

00:54:27.160 --> 00:54:30.550 align:middle line:84%
And so you can see the
stacking faults increases,

00:54:30.550 --> 00:54:33.130 align:middle line:84%
this length increases
with time of oxidation,

00:54:33.130 --> 00:54:36.290 align:middle line:84%
and the growth rate is faster
for higher temperatures.

00:54:36.290 --> 00:54:39.580 align:middle line:84%
So if we go here,
1,050, 1,100, 1,150,

00:54:39.580 --> 00:54:41.380 align:middle line:90%
the growth rate is faster.

00:54:41.380 --> 00:54:43.850 align:middle line:84%
Of course, the oxidation
rate is going up as well.

00:54:43.850 --> 00:54:47.200 align:middle line:84%
So this gave people maybe
a hint that the faster you

00:54:47.200 --> 00:54:52.120 align:middle line:84%
oxidize, the more interstitials
that you're injecting.

00:54:52.120 --> 00:54:55.210 align:middle line:84%
The oxidation induced
stacking fault growth rate

00:54:55.210 --> 00:54:59.020 align:middle line:84%
is smaller for lower partial
pressures of oxygen. So again,

00:54:59.020 --> 00:55:00.580 align:middle line:90%
slower oxidation rates.

00:55:00.580 --> 00:55:03.790 align:middle line:84%
This is an idea that
the rate of oxidation

00:55:03.790 --> 00:55:07.270 align:middle line:84%
determines the rate of injection
of interstitials into the bulk.

00:55:07.270 --> 00:55:09.860 align:middle line:90%


00:55:09.860 --> 00:55:11.240 align:middle line:90%
So let's go back.

00:55:11.240 --> 00:55:14.000 align:middle line:90%
Let's go on to slide 28.

00:55:14.000 --> 00:55:16.645 align:middle line:84%
This is the diagram
I just went through.

00:55:16.645 --> 00:55:18.020 align:middle line:84%
These are the
different processes

00:55:18.020 --> 00:55:22.310 align:middle line:84%
we talked about that contribute
to this oxidation enhanced

00:55:22.310 --> 00:55:23.850 align:middle line:90%
diffusion.

00:55:23.850 --> 00:55:28.340 align:middle line:84%
So it's this generation at the
interface where I'm oxidizing

00:55:28.340 --> 00:55:31.790 align:middle line:84%
and the recombination, the
balance of G and R, generation

00:55:31.790 --> 00:55:34.370 align:middle line:84%
and recombination,
determine what

00:55:34.370 --> 00:55:37.430 align:middle line:84%
your net flux of
interstitials is into the bulk

00:55:37.430 --> 00:55:39.500 align:middle line:90%
away from the surface.

00:55:39.500 --> 00:55:41.120 align:middle line:84%
It's this generation
rate G that's

00:55:41.120 --> 00:55:43.980 align:middle line:84%
directly proportional
to the oxidation rate.

00:55:43.980 --> 00:55:45.950 align:middle line:84%
So if I oxidize faster
at a given temperature

00:55:45.950 --> 00:55:47.780 align:middle line:84%
by upping the
partial pressure, I

00:55:47.780 --> 00:55:52.340 align:middle line:84%
will generate a larger rate
of injection of interstitials

00:55:52.340 --> 00:55:55.980 align:middle line:84%
and I'll get more boron
diffusion in the Berry layer.

00:55:55.980 --> 00:55:59.363 align:middle line:84%
And by the way, this Berry layer
can be 2, 3, 4 microns away.

00:55:59.363 --> 00:56:00.530 align:middle line:90%
It doesn't have to be close.

00:56:00.530 --> 00:56:03.570 align:middle line:84%
The interstitials diffuse
very quickly and very rapidly,

00:56:03.570 --> 00:56:05.000 align:middle line:90%
so this is the problem.

00:56:05.000 --> 00:56:08.150 align:middle line:84%
Oxidation can have
effects at a distance.

00:56:08.150 --> 00:56:10.980 align:middle line:84%
A micron or so away
can greatly impact

00:56:10.980 --> 00:56:14.623 align:middle line:90%
what's going on in the chip.

00:56:14.623 --> 00:56:16.290 align:middle line:84%
So they diffuse away
from the interface,

00:56:16.290 --> 00:56:18.930 align:middle line:84%
and they enhance the
boron diffusion rate.

00:56:18.930 --> 00:56:21.500 align:middle line:90%


00:56:21.500 --> 00:56:25.550 align:middle line:84%
Here's an actual simulation of
oxidation enhanced diffusion.

00:56:25.550 --> 00:56:28.850 align:middle line:84%
What happened was the
surface started out

00:56:28.850 --> 00:56:32.730 align:middle line:84%
by being implanted uniformly
with a certain dose of boron.

00:56:32.730 --> 00:56:38.060 align:middle line:84%
So I have a very thin layer
of boron up near the surface,

00:56:38.060 --> 00:56:40.280 align:middle line:84%
and then we grow a
paddocks and we grow

00:56:40.280 --> 00:56:41.820 align:middle line:90%
a nitride layer on the left.

00:56:41.820 --> 00:56:45.950 align:middle line:84%
So on the left there is going
to be no oxidation taking place.

00:56:45.950 --> 00:56:49.590 align:middle line:84%
We put it in the furnace
at 850 for an hour,

00:56:49.590 --> 00:56:51.872 align:middle line:84%
and you see an oxide
has grown on the right,

00:56:51.872 --> 00:56:53.330 align:middle line:84%
not on the left,
which makes sense.

00:56:53.330 --> 00:56:54.247 align:middle line:90%
But look at the boron.

00:56:54.247 --> 00:56:57.380 align:middle line:84%
The junction depth for the
boron is much deeper here.

00:56:57.380 --> 00:56:59.790 align:middle line:84%
You can get the junction
depth, say, from, let's say,

00:56:59.790 --> 00:57:05.480 align:middle line:84%
the region between the
green contour and the blue.

00:57:05.480 --> 00:57:07.850 align:middle line:84%
The junction depth is a lot
deeper underneath the place

00:57:07.850 --> 00:57:08.960 align:middle line:90%
where the oxide grew.

00:57:08.960 --> 00:57:10.820 align:middle line:84%
So this tells us
away that we are

00:57:10.820 --> 00:57:16.010 align:middle line:84%
getting oxidation enhanced
diffusion of that boron.

00:57:16.010 --> 00:57:20.120 align:middle line:84%
This is something
that's been simulated.

00:57:20.120 --> 00:57:22.550 align:middle line:90%
Doping effects on oxidation.

00:57:22.550 --> 00:57:26.120 align:middle line:84%
So besides the oxidation
injecting interstitials,

00:57:26.120 --> 00:57:29.240 align:middle line:84%
people also noticed that
at low temperatures,

00:57:29.240 --> 00:57:31.520 align:middle line:84%
depending on the
wafer doping, they

00:57:31.520 --> 00:57:33.330 align:middle line:84%
would get a different
oxidation rate.

00:57:33.330 --> 00:57:35.690 align:middle line:90%
So this is kind of interesting.

00:57:35.690 --> 00:57:38.070 align:middle line:84%
If you look at A,
A is a very light--

00:57:38.070 --> 00:57:41.070 align:middle line:84%
so I'm plotting oxide
thickness versus time.

00:57:41.070 --> 00:57:43.500 align:middle line:84%
A is lightly doped
silicon, kind of the 15th.

00:57:43.500 --> 00:57:48.305 align:middle line:84%
F is 10 to the 20
or 3 times the 20.

00:57:48.305 --> 00:57:52.123 align:middle line:84%
Much more heavily doped with
n type, with phosphorus.

00:57:52.123 --> 00:57:53.540 align:middle line:84%
So especially at
low temperature--

00:57:53.540 --> 00:57:55.940 align:middle line:84%
at high temperature, not
so much of a dispersion,

00:57:55.940 --> 00:57:58.782 align:middle line:84%
but at low temperature,
a large dispersion.

00:57:58.782 --> 00:58:00.740 align:middle line:84%
So this needs to be
accounted for in our models

00:58:00.740 --> 00:58:03.290 align:middle line:84%
because depending on you
have lots of different doping

00:58:03.290 --> 00:58:04.970 align:middle line:84%
concentrations on the
surface of a wafer

00:58:04.970 --> 00:58:07.280 align:middle line:84%
when you're making a chip,
you'll get different oxide

00:58:07.280 --> 00:58:08.300 align:middle line:90%
thicknesses.

00:58:08.300 --> 00:58:10.190 align:middle line:84%
You need to take
this into account.

00:58:10.190 --> 00:58:14.650 align:middle line:90%


00:58:14.650 --> 00:58:17.510 align:middle line:84%
People, in fact, not only found
the thickness to be different.

00:58:17.510 --> 00:58:21.380 align:middle line:84%
They extracted the B and
the B over A parameter.

00:58:21.380 --> 00:58:23.510 align:middle line:84%
So as a function
of boron doping--

00:58:23.510 --> 00:58:26.470 align:middle line:84%
so this is the oxidation
rate, or these rate

00:58:26.470 --> 00:58:29.530 align:middle line:84%
constants B over A
and B as a function

00:58:29.530 --> 00:58:33.237 align:middle line:90%
of boron concentration.

00:58:33.237 --> 00:58:33.820 align:middle line:90%
Oh, I'm sorry.

00:58:33.820 --> 00:58:37.120 align:middle line:84%
It's actually phosphorus
doping in this reference.

00:58:37.120 --> 00:58:39.760 align:middle line:84%
The B over A parameter
is the one impacted.

00:58:39.760 --> 00:58:44.140 align:middle line:84%
So above a certain concentration
of dopants, here above about 10

00:58:44.140 --> 00:58:46.360 align:middle line:90%
of the 19, B over A takes off.

00:58:46.360 --> 00:58:49.450 align:middle line:90%
So it's going up quite rapidly.

00:58:49.450 --> 00:58:52.695 align:middle line:84%
The diffusion through the oxide
doesn't seem to be affected.

00:58:52.695 --> 00:58:54.070 align:middle line:84%
You can kind of
imagine that I've

00:58:54.070 --> 00:58:55.480 align:middle line:90%
got doping at the interface.

00:58:55.480 --> 00:59:00.550 align:middle line:84%
You expect there's some effect
of that doping on the reaction

00:59:00.550 --> 00:59:03.150 align:middle line:90%
rate.

00:59:03.150 --> 00:59:06.660 align:middle line:84%
And in fact, if we
to slide 32, people

00:59:06.660 --> 00:59:08.550 align:middle line:90%
had an idea of what it might be.

00:59:08.550 --> 00:59:11.280 align:middle line:84%
Maybe it's a chemical effect
of the dopant, perhaps,

00:59:11.280 --> 00:59:13.650 align:middle line:84%
but people liked
this model better.

00:59:13.650 --> 00:59:15.990 align:middle line:84%
People liked the idea
that the vacancies

00:59:15.990 --> 00:59:18.210 align:middle line:84%
available in the
near surface region

00:59:18.210 --> 00:59:20.890 align:middle line:84%
are important to the
oxidation process.

00:59:20.890 --> 00:59:24.420 align:middle line:84%
So anything that caused
vacancy concentration to go up

00:59:24.420 --> 00:59:27.940 align:middle line:84%
might cause the oxidation
rate to also go up.

00:59:27.940 --> 00:59:30.120 align:middle line:84%
But what do we know about
highly doped regions

00:59:30.120 --> 00:59:31.650 align:middle line:90%
from your homework that you did?

00:59:31.650 --> 00:59:34.260 align:middle line:84%
When you increase the
doping in a certain region,

00:59:34.260 --> 00:59:36.420 align:middle line:84%
the total number of
vacancies go up, right?

00:59:36.420 --> 00:59:39.267 align:middle line:84%
Because you move the Fermi level
and you create charge vacancies

00:59:39.267 --> 00:59:41.350 align:middle line:84%
and you count up all the
vacancies and they go up.

00:59:41.350 --> 00:59:43.830 align:middle line:84%
So remember these equations
you used on your homework

00:59:43.830 --> 00:59:45.630 align:middle line:90%
that you're handing in today.

00:59:45.630 --> 00:59:48.090 align:middle line:90%
If I'm intrinsic, I'm here.

00:59:48.090 --> 00:59:49.590 align:middle line:90%
My Fermi level is at mid-gap.

00:59:49.590 --> 00:59:51.900 align:middle line:84%
I'm dominated by
neutral vacancies.

00:59:51.900 --> 00:59:53.700 align:middle line:84%
They have a certain
concentration.

00:59:53.700 --> 00:59:55.350 align:middle line:90%
10 to the 13 or whatever.

00:59:55.350 --> 00:59:57.300 align:middle line:84%
As I move the
Fermi level up so I

00:59:57.300 --> 00:59:58.980 align:middle line:84%
make it more and
more heavily doped,

00:59:58.980 --> 01:00:01.560 align:middle line:84%
I create a lot of v
minus and v double minus.

01:00:01.560 --> 01:00:04.060 align:middle line:84%
So I could have a
hundred times the number

01:00:04.060 --> 01:00:06.160 align:middle line:90%
of vacancies at the surface.

01:00:06.160 --> 01:00:08.750 align:middle line:84%
Oxidation needs
vacancies to take place.

01:00:08.750 --> 01:00:10.670 align:middle line:90%
That's the hypothesis.

01:00:10.670 --> 01:00:13.750 align:middle line:84%
So people explain
the enhancement

01:00:13.750 --> 01:00:17.860 align:middle line:84%
of the high doped oxidation
case due to extra vacancies that

01:00:17.860 --> 01:00:20.680 align:middle line:90%
are around at the surface.

01:00:20.680 --> 01:00:23.920 align:middle line:84%
That's one potential
explanation.

01:00:23.920 --> 01:00:27.370 align:middle line:84%
And in fact, I just reminded,
you did this in your homework.

01:00:27.370 --> 01:00:29.680 align:middle line:84%
You did some
calculations on slide 33.

01:00:29.680 --> 01:00:32.757 align:middle line:84%
The vacancy concentration that's
been calculated for you here

01:00:32.757 --> 01:00:34.340 align:middle line:84%
as a function of
doping concentration,

01:00:34.340 --> 01:00:35.650 align:middle line:90%
look where it takes off.

01:00:35.650 --> 01:00:38.252 align:middle line:84%
Of course, somewhere
right around 10 to the 19

01:00:38.252 --> 01:00:39.460 align:middle line:90%
it really starts to take off.

01:00:39.460 --> 01:00:42.940 align:middle line:84%
That's exactly where Hogh found
that the B over A coefficient

01:00:42.940 --> 01:00:47.350 align:middle line:84%
took off is right where the
vacancy concentration is going

01:00:47.350 --> 01:00:49.840 align:middle line:90%
up as a function of doping.

01:00:49.840 --> 01:00:53.140 align:middle line:90%


01:00:53.140 --> 01:00:57.430 align:middle line:84%
So let's just say on slide
34 that these vacancies are

01:00:57.430 --> 01:01:01.660 align:middle line:84%
available to provide sites,
these extra vacancies,

01:01:01.660 --> 01:01:03.940 align:middle line:90%
for the oxidation reaction.

01:01:03.940 --> 01:01:07.690 align:middle line:84%
Then we can imagine writing
B over A equal to something,

01:01:07.690 --> 01:01:10.390 align:middle line:84%
some number R1
where R1 has to do

01:01:10.390 --> 01:01:13.150 align:middle line:84%
with all the mechanisms other
than vacancy driven processes.

01:01:13.150 --> 01:01:16.252 align:middle line:84%
Obviously oxidation is not only
just controlled by vacancies.

01:01:16.252 --> 01:01:17.710 align:middle line:84%
It's controlled by
a lot of things.

01:01:17.710 --> 01:01:21.610 align:middle line:84%
But there must be some
term added in this k times

01:01:21.610 --> 01:01:24.080 align:middle line:90%
V total, CV total.

01:01:24.080 --> 01:01:26.480 align:middle line:84%
So the term on the
right represents

01:01:26.480 --> 01:01:29.380 align:middle line:90%
the vacancy driven process.

01:01:29.380 --> 01:01:31.250 align:middle line:84%
It's, I believe, to be
directly proportional

01:01:31.250 --> 01:01:33.458 align:middle line:84%
to the concentration of the
total number of vacancies

01:01:33.458 --> 01:01:35.090 align:middle line:90%
in all charge states.

01:01:35.090 --> 01:01:38.720 align:middle line:84%
So doing that, you can then
rewrite the B over A parameter

01:01:38.720 --> 01:01:41.360 align:middle line:84%
to be B over A in
intrinsic material,

01:01:41.360 --> 01:01:44.780 align:middle line:84%
lightly doped, when
you're not extrinsic,

01:01:44.780 --> 01:01:49.020 align:middle line:84%
times this 1 plus some
exponential type of factor--

01:01:49.020 --> 01:01:50.900 align:middle line:84%
so this is empirically
determined here

01:01:50.900 --> 01:01:53.060 align:middle line:84%
as a function on
temperature-- times something

01:01:53.060 --> 01:01:56.030 align:middle line:90%
that goes like CV over CVI.

01:01:56.030 --> 01:01:58.100 align:middle line:84%
So the concentration
of vacancies

01:01:58.100 --> 01:02:00.320 align:middle line:84%
in this heavily doped
material divided

01:02:00.320 --> 01:02:03.680 align:middle line:84%
by that intrinsic
material minus one.

01:02:03.680 --> 01:02:06.110 align:middle line:84%
So if I'm intrinsic,
this goes to zero

01:02:06.110 --> 01:02:07.190 align:middle line:90%
and this term goes away.

01:02:07.190 --> 01:02:10.310 align:middle line:84%
As this increases, this
ratio goes up above one.

01:02:10.310 --> 01:02:13.790 align:middle line:90%
This term starts to kick in.

01:02:13.790 --> 01:02:16.520 align:middle line:84%
Interestingly, though, when
we think about this now,

01:02:16.520 --> 01:02:18.577 align:middle line:84%
this model for the
vacancy dependence

01:02:18.577 --> 01:02:20.660 align:middle line:84%
is only going to depend
on the electrically active

01:02:20.660 --> 01:02:21.592 align:middle line:90%
concentration.

01:02:21.592 --> 01:02:23.800 align:middle line:84%
Because remember, we said
we move the Fermi level up.

01:02:23.800 --> 01:02:26.850 align:middle line:84%
So if we add phosphorus
to the wafer,

01:02:26.850 --> 01:02:30.480 align:middle line:84%
it's only the
amount of phosphorus

01:02:30.480 --> 01:02:32.370 align:middle line:84%
that contributes
electrons that's going

01:02:32.370 --> 01:02:35.220 align:middle line:90%
to move the Fermi level around.

01:02:35.220 --> 01:02:37.920 align:middle line:84%
So people had an idea
on how to test this.

01:02:37.920 --> 01:02:40.410 align:middle line:90%
What if I compensate the wafer?

01:02:40.410 --> 01:02:42.540 align:middle line:90%
OK.

01:02:42.540 --> 01:02:44.877 align:middle line:90%
Well, actually let me go on.

01:02:44.877 --> 01:02:45.960 align:middle line:90%
I'll talk about that next.

01:02:45.960 --> 01:02:50.400 align:middle line:84%
Let me just show
slide 35 just to show,

01:02:50.400 --> 01:02:53.370 align:middle line:90%
compare boron and phosphorus.

01:02:53.370 --> 01:02:56.040 align:middle line:84%
We know from our
calculations, actually,

01:02:56.040 --> 01:03:00.180 align:middle line:84%
that n type regions, just
because of the point defect

01:03:00.180 --> 01:03:04.260 align:middle line:84%
statistics, n type regions tend
to have higher charge vacancy

01:03:04.260 --> 01:03:07.500 align:middle line:84%
concentrations at a given
doping than p type, than boron.

01:03:07.500 --> 01:03:10.590 align:middle line:84%
And in fact, what we see is
that the B over A parameter

01:03:10.590 --> 01:03:14.760 align:middle line:84%
is more impacted in n type
silicon, very heavily doped,

01:03:14.760 --> 01:03:15.780 align:middle line:90%
than it is in p type.

01:03:15.780 --> 01:03:17.520 align:middle line:84%
That's the difference
between the right

01:03:17.520 --> 01:03:21.840 align:middle line:84%
and the left hand
side on page 35.

01:03:21.840 --> 01:03:23.442 align:middle line:90%
That's some hint.

01:03:23.442 --> 01:03:24.900 align:middle line:84%
What I started to
talk about, which

01:03:24.900 --> 01:03:28.020 align:middle line:84%
I think to me is a little more
convincing, that this is really

01:03:28.020 --> 01:03:29.910 align:middle line:90%
maybe is due to vacancies.

01:03:29.910 --> 01:03:32.250 align:middle line:84%
If you look at the
oxide thickness

01:03:32.250 --> 01:03:34.500 align:middle line:84%
as a function of the
electrically active

01:03:34.500 --> 01:03:36.760 align:middle line:90%
phosphorus--

01:03:36.760 --> 01:03:39.150 align:middle line:84%
and this solid line
is for uncompensated.

01:03:39.150 --> 01:03:40.140 align:middle line:90%
What is uncompensated?

01:03:40.140 --> 01:03:42.360 align:middle line:84%
I just add phosphorus
at certain level.

01:03:42.360 --> 01:03:46.200 align:middle line:84%
Here I add it to 10 of the
19, 5 to the 19, 10 of the 20,

01:03:46.200 --> 01:03:48.520 align:middle line:90%
and 5, 10 of the 20.

01:03:48.520 --> 01:03:49.950 align:middle line:84%
And I don't add
any other dopants.

01:03:49.950 --> 01:03:51.900 align:middle line:90%
No boron.

01:03:51.900 --> 01:03:55.350 align:middle line:84%
As the phosphorus goes up,
the vacancy concentration

01:03:55.350 --> 01:03:57.760 align:middle line:84%
goes up and so
does the thickness.

01:03:57.760 --> 01:04:00.150 align:middle line:84%
Now the dashed line is material
that's been compensated.

01:04:00.150 --> 01:04:01.120 align:middle line:90%
What does that mean?

01:04:01.120 --> 01:04:05.100 align:middle line:84%
Well, what that means is when
I add 10 of the 20 phosphorus,

01:04:05.100 --> 01:04:07.137 align:middle line:90%
I add 10 of the 20 boron.

01:04:07.137 --> 01:04:08.970 align:middle line:84%
There's still 10 of the
20 phosphorous there

01:04:08.970 --> 01:04:11.130 align:middle line:84%
and 10 of the 20 boron,
but electrically I

01:04:11.130 --> 01:04:14.040 align:middle line:84%
haven't added any extra
electrons or holes

01:04:14.040 --> 01:04:17.970 align:middle line:84%
because they compensate each
other in terms of dopants.

01:04:17.970 --> 01:04:20.490 align:middle line:84%
So the electrically
active concentration

01:04:20.490 --> 01:04:24.180 align:middle line:84%
has not gone up when I add as
much boron as I add phosphorus.

01:04:24.180 --> 01:04:26.310 align:middle line:84%
You add equal amount
of p and n type doping.

01:04:26.310 --> 01:04:28.920 align:middle line:90%
I still end up with fairly--

01:04:28.920 --> 01:04:32.650 align:middle line:84%
I end up with material
that's compensated.

01:04:32.650 --> 01:04:34.020 align:middle line:90%
I haven't moved the Fermi level.

01:04:34.020 --> 01:04:36.240 align:middle line:84%
I haven't created a lot
of excess charge defects.

01:04:36.240 --> 01:04:39.750 align:middle line:84%
And in fact, he found that
there wasn't that much increase

01:04:39.750 --> 01:04:42.810 align:middle line:84%
in the oxidation rate when
he added a lot of phosphorus

01:04:42.810 --> 01:04:45.743 align:middle line:90%
but compensated with boron.

01:04:45.743 --> 01:04:46.660 align:middle line:90%
Equal amount of boron.

01:04:46.660 --> 01:04:48.390 align:middle line:84%
So if it were a chemical
effect, just the amount

01:04:48.390 --> 01:04:50.890 align:middle line:84%
of phosphorus atoms-- let's say
a phosphorus atom chemically

01:04:50.890 --> 01:04:52.960 align:middle line:90%
causes oxide to grow faster.

01:04:52.960 --> 01:04:55.890 align:middle line:84%
It wouldn't matter whether you
added an equal amount of boron.

01:04:55.890 --> 01:04:57.960 align:middle line:84%
But if you add an
equal amount of boron,

01:04:57.960 --> 01:04:59.500 align:middle line:84%
you don't change
the Fermi level.

01:04:59.500 --> 01:05:01.860 align:middle line:84%
So this is an argument that
says to me that it really

01:05:01.860 --> 01:05:04.420 align:middle line:84%
is the electrical
concentration that's changing.

01:05:04.420 --> 01:05:06.150 align:middle line:84%
It's the movement
of the Fermi level.

01:05:06.150 --> 01:05:07.830 align:middle line:84%
It doesn't prove it's
a vacancy effect,

01:05:07.830 --> 01:05:12.370 align:middle line:84%
but it gives a little
bit more weight.

01:05:12.370 --> 01:05:16.120 align:middle line:84%
Here on slide 37,
it's just a simulation

01:05:16.120 --> 01:05:18.080 align:middle line:90%
of this type of effect.

01:05:18.080 --> 01:05:21.190 align:middle line:84%
What we have on
the left hand side

01:05:21.190 --> 01:05:27.010 align:middle line:84%
is local oxidation where
it's taking place here

01:05:27.010 --> 01:05:31.360 align:middle line:84%
at 800 degrees for
30 minutes and you're

01:05:31.360 --> 01:05:34.300 align:middle line:84%
seeing get a little
thicker oxide

01:05:34.300 --> 01:05:37.480 align:middle line:84%
or get a five times
thicker oxide growing

01:05:37.480 --> 01:05:39.200 align:middle line:90%
in this heavily doped region.

01:05:39.200 --> 01:05:41.110 align:middle line:84%
So this region over
here on the right

01:05:41.110 --> 01:05:44.530 align:middle line:90%
is heavily phosphorus doped.

01:05:44.530 --> 01:05:47.920 align:middle line:84%
So it was I implanted
prior to oxidation.

01:05:47.920 --> 01:05:49.510 align:middle line:84%
So you need to take
this into account.

01:05:49.510 --> 01:05:51.040 align:middle line:84%
If you're making
a device and you

01:05:51.040 --> 01:05:53.182 align:middle line:84%
implant a region
for a source drain

01:05:53.182 --> 01:05:54.640 align:middle line:84%
and then you go to
oxidize it, it's

01:05:54.640 --> 01:05:56.770 align:middle line:84%
going to have a different
oxidation rate compared

01:05:56.770 --> 01:05:59.410 align:middle line:84%
to those parts of the chip that
are being oxidized that don't

01:05:59.410 --> 01:06:01.070 align:middle line:90%
have high doping in them.

01:06:01.070 --> 01:06:03.535 align:middle line:84%
So in SUPREM you can easily
take that into account.

01:06:03.535 --> 01:06:06.590 align:middle line:90%


01:06:06.590 --> 01:06:10.570 align:middle line:84%
And the last thing I want to
cover is here on slide 38,

01:06:10.570 --> 01:06:12.040 align:middle line:90%
we talked about oxidation.

01:06:12.040 --> 01:06:16.190 align:middle line:84%
It has all these
point defect effects.

01:06:16.190 --> 01:06:20.110 align:middle line:84%
We also talked a couple
last time or the time

01:06:20.110 --> 01:06:24.550 align:middle line:84%
before about interface charges
that come along with oxidation.

01:06:24.550 --> 01:06:28.413 align:middle line:84%
And this model on slide
38, is while we're

01:06:28.413 --> 01:06:29.830 align:middle line:84%
talking about
atomic level things,

01:06:29.830 --> 01:06:34.000 align:middle line:84%
this is an atomic level
cartoon or picture of what

01:06:34.000 --> 01:06:37.030 align:middle line:84%
is actually causing the
fixed charge and the density

01:06:37.030 --> 01:06:38.890 align:middle line:90%
of interface states.

01:06:38.890 --> 01:06:41.830 align:middle line:84%
And what it supposedly
is here, in the near--

01:06:41.830 --> 01:06:45.580 align:middle line:84%
here's a miamorphous SiO2 up
here and my crystal silicon.

01:06:45.580 --> 01:06:47.620 align:middle line:84%
In the near interfacial
region, there

01:06:47.620 --> 01:06:50.957 align:middle line:84%
are believed to be a few
interstitial silicon atoms.

01:06:50.957 --> 01:06:53.290 align:middle line:84%
Remember, some interstitials
get injected into the bulk.

01:06:53.290 --> 01:06:54.670 align:middle line:90%
Some go up, out.

01:06:54.670 --> 01:06:57.160 align:middle line:84%
There's a few that get
stuck near the interface.

01:06:57.160 --> 01:06:58.930 align:middle line:84%
This little extra
silicon interstitial

01:06:58.930 --> 01:07:00.700 align:middle line:90%
with a positive charge on it.

01:07:00.700 --> 01:07:04.150 align:middle line:84%
It's not bonded to
oxygen atoms, so has

01:07:04.150 --> 01:07:05.480 align:middle line:90%
an excess positive charge.

01:07:05.480 --> 01:07:08.570 align:middle line:84%
That unbonded
silicon interstitial,

01:07:08.570 --> 01:07:11.090 align:middle line:84%
the extra dangling
silicon interstitials

01:07:11.090 --> 01:07:13.100 align:middle line:84%
that are there that
are positively charged

01:07:13.100 --> 01:07:14.855 align:middle line:84%
are believed to be
responsible for QM.

01:07:14.855 --> 01:07:18.650 align:middle line:90%


01:07:18.650 --> 01:07:20.650 align:middle line:84%
Remember, fixed charge
doesn't change with bias.

01:07:20.650 --> 01:07:22.700 align:middle line:84%
The density of interface
states that change

01:07:22.700 --> 01:07:27.110 align:middle line:84%
is believed to be associated
with dangling silicone

01:07:27.110 --> 01:07:30.470 align:middle line:84%
bonds right at the
interface, and we

01:07:30.470 --> 01:07:33.830 align:middle line:84%
can passivate these because
they're not in the oxide.

01:07:33.830 --> 01:07:37.040 align:middle line:84%
They're right at the
silicon dioxide surface.

01:07:37.040 --> 01:07:40.100 align:middle line:84%
We can passivate these
by adding hydrogen.

01:07:40.100 --> 01:07:43.100 align:middle line:84%
So when you build a CMOS
or you build a MOSFET,

01:07:43.100 --> 01:07:47.060 align:middle line:84%
the last step is 450
degrees in hydrogen ambient.

01:07:47.060 --> 01:07:48.800 align:middle line:90%
The hydrogen diffuses in.

01:07:48.800 --> 01:07:51.050 align:middle line:84%
It satisfies these
dangling bonds.

01:07:51.050 --> 01:07:54.860 align:middle line:84%
It bonds here and it
covers up that charge.

01:07:54.860 --> 01:07:58.310 align:middle line:84%
The hydrogen can't do
anything about this silicon.

01:07:58.310 --> 01:07:59.990 align:middle line:90%
It's unoxidized.

01:07:59.990 --> 01:08:01.980 align:middle line:90%
It needs oxygen atoms.

01:08:01.980 --> 01:08:04.920 align:middle line:84%
So that's why when you do
a forming gas anneal here,

01:08:04.920 --> 01:08:07.220 align:middle line:84%
the last step, you
can reduce the density

01:08:07.220 --> 01:08:08.075 align:middle line:90%
of interface states.

01:08:08.075 --> 01:08:10.820 align:middle line:90%


01:08:10.820 --> 01:08:12.620 align:middle line:84%
The fixed charge is
a little different.

01:08:12.620 --> 01:08:16.100 align:middle line:84%
To reduce it you don't
anneal on hydrogen.

01:08:16.100 --> 01:08:18.260 align:middle line:90%
This is so-called Deal triangle.

01:08:18.260 --> 01:08:20.390 align:middle line:84%
What you do is you
anneal the oxide

01:08:20.390 --> 01:08:25.109 align:middle line:84%
after oxidizing it in an inert
ambient at high temperature.

01:08:25.109 --> 01:08:27.560 align:middle line:84%
So the idea would
be that you try

01:08:27.560 --> 01:08:29.870 align:middle line:84%
to get some of those
silicon interstitials

01:08:29.870 --> 01:08:31.129 align:middle line:90%
that were stuck there.

01:08:31.129 --> 01:08:32.359 align:middle line:90%
They're unoxidized.

01:08:32.359 --> 01:08:35.750 align:middle line:84%
You give them time to diffuse
away from that interface

01:08:35.750 --> 01:08:38.623 align:middle line:84%
so you can get rid
of that fixed charge.

01:08:38.623 --> 01:08:40.040 align:middle line:84%
That's exactly
what you will find.

01:08:40.040 --> 01:08:43.460 align:middle line:84%
If you run an oxidation
program in the furnace,

01:08:43.460 --> 01:08:46.850 align:middle line:84%
what people typically do,
they grow an oxide, 800 or 900

01:08:46.850 --> 01:08:48.140 align:middle line:90%
for an hour.

01:08:48.140 --> 01:08:50.540 align:middle line:84%
The last step of the
program is to let

01:08:50.540 --> 01:08:53.180 align:middle line:84%
the wafer sit at 800
or 900 in the tube

01:08:53.180 --> 01:08:54.410 align:middle line:90%
with no oxygen flowing.

01:08:54.410 --> 01:08:58.609 align:middle line:84%
Just argon or nitrogen. And
that last half hour anneal

01:08:58.609 --> 01:08:59.970 align:middle line:90%
is the QF anneal.

01:08:59.970 --> 01:09:03.319 align:middle line:84%
So if you grew in dry
oxygen at 800, an oxide,

01:09:03.319 --> 01:09:06.770 align:middle line:84%
and you didn't anneal it,
you might have on 111 silicon

01:09:06.770 --> 01:09:10.580 align:middle line:84%
about t 6 times to the 11 for
your QF per square centimeter.

01:09:10.580 --> 01:09:13.827 align:middle line:84%
If you anneal it, you
can get it down at 800.

01:09:13.827 --> 01:09:15.410 align:middle line:84%
If you anneal it in
nitrogen or argon,

01:09:15.410 --> 01:09:17.899 align:middle line:84%
you can get it down to
about one times 10 to the 11

01:09:17.899 --> 01:09:19.279 align:middle line:90%
on 111 silicon.

01:09:19.279 --> 01:09:20.100 align:middle line:90%
100.

01:09:20.100 --> 01:09:22.100 align:middle line:84%
All the numbers will be
about three times lower.

01:09:22.100 --> 01:09:24.949 align:middle line:84%
If you anneal it at
a higher temperature,

01:09:24.949 --> 01:09:26.220 align:middle line:90%
it'll also come down.

01:09:26.220 --> 01:09:29.510 align:middle line:84%
So the whole idea is to
anneal that in inert ambient

01:09:29.510 --> 01:09:35.080 align:middle line:84%
at a relatively high temperature
right after your oxidation.

01:09:35.080 --> 01:09:35.580 align:middle line:90%
OK.

01:09:35.580 --> 01:09:36.689 align:middle line:90%
This is the last slide.

01:09:36.689 --> 01:09:42.651 align:middle line:84%
Just to summarize chapter 6 and
what we've talked about today.

01:09:42.651 --> 01:09:46.229 align:middle line:84%
We know have to control the
oxide thickness to atomic level

01:09:46.229 --> 01:09:48.720 align:middle line:90%
for a thin gate dielectrics.

01:09:48.720 --> 01:09:50.550 align:middle line:84%
There's a basic
Deal-Grove mechanism

01:09:50.550 --> 01:09:53.790 align:middle line:84%
which involves diffusion
through the oxide, reaction

01:09:53.790 --> 01:09:55.530 align:middle line:90%
at the interface.

01:09:55.530 --> 01:09:57.510 align:middle line:84%
This doesn't work
perfectly, but there's

01:09:57.510 --> 01:09:59.640 align:middle line:84%
been a lot of situations
that people can

01:09:59.640 --> 01:10:02.250 align:middle line:90%
correct the Deal-Grove model.

01:10:02.250 --> 01:10:04.650 align:middle line:84%
This non-planar
oxidation is impacted

01:10:04.650 --> 01:10:06.720 align:middle line:84%
by the orientation
of the surface, two

01:10:06.720 --> 01:10:09.720 align:middle line:84%
dimensional diffusion
through a shaped oxide,

01:10:09.720 --> 01:10:11.250 align:middle line:90%
and the stress effects.

01:10:11.250 --> 01:10:14.640 align:middle line:84%
Stress retards or slows
down the oxidation

01:10:14.640 --> 01:10:17.640 align:middle line:84%
by slowing down the
interface reaction k sub a

01:10:17.640 --> 01:10:20.980 align:middle line:84%
and slowing down the
diffusion through the oxide.

01:10:20.980 --> 01:10:23.820 align:middle line:84%
And these silicon interstitials
are injected into the bulk

01:10:23.820 --> 01:10:25.560 align:middle line:84%
during oxidation,
and we're going

01:10:25.560 --> 01:10:28.740 align:middle line:84%
to come back and revisit
them in the next few lectures

01:10:28.740 --> 01:10:31.800 align:middle line:84%
or over the next several
weeks because they're

01:10:31.800 --> 01:10:33.720 align:middle line:84%
going to dramatically
impact diffusion

01:10:33.720 --> 01:10:36.340 align:middle line:90%
of boron and other dopants.

01:10:36.340 --> 01:10:38.080 align:middle line:90%
So that's about what I have.

01:10:38.080 --> 01:10:41.770 align:middle line:84%
I believe, for today,
your homework is due.

01:10:41.770 --> 01:10:44.560 align:middle line:84%
You can bring that up
right now and put it

01:10:44.560 --> 01:10:45.700 align:middle line:90%
in this orange folder.

01:10:45.700 --> 01:10:47.617 align:middle line:84%
If you didn't pick up
your homework last time,

01:10:47.617 --> 01:10:49.510 align:middle line:84%
it's in the back
with the handouts.

01:10:49.510 --> 01:10:50.890 align:middle line:90%
I'm going to be out next week.

01:10:50.890 --> 01:10:51.950 align:middle line:90%
Your TA, Maggie--

01:10:51.950 --> 01:10:53.950 align:middle line:84%
Maggie, you want to raise
your hand in the back?

01:10:53.950 --> 01:10:57.070 align:middle line:84%
Is going to give
lectures as usual.

01:10:57.070 --> 01:10:59.860 align:middle line:84%
So we'll start
diffusion on Tuesday.

01:10:59.860 --> 01:11:03.570 align:middle line:84%
And on Tuesday, then your
new homework goes out.

01:11:03.570 --> 01:11:07.000 align:middle line:90%