WEBVTT

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JUDY HOYT: So before we start
with today's formal lecture,

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there's a couple of things
I want to talk about.

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One is the schedule, which
I have shown up here.

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And you'll notice,
or if you remember,

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I've actually shifted
around one of the lectures.

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Here we are today,
I think October 19.

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And we're supposed to have this
lecture on the SUPREM-IV process

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simulator.

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I decided I wanted to
do that lecture later,

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primarily because I
want to have talked

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about transient enhanced
diffusion and those effects.

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A lot of the examples
I show and how to use

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SUPREM relate to transient
enhanced diffusion.

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And I realized I hadn't really--

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I wouldn't have introduced it.

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So we're going to have instead
the ion implantation lectures.

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There's four on ion
implantation, two of those

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are on TED, and then
we'll do that lecture.

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And as I mentioned also because
of the Red Sox game last night,

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I don't have homework number
4 ready to go out to you yet.

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And so we can blame
the Yankees for that.

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But I'll have it next time.

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There is another handout
as well before we

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go to the formal lecture,
handout number 20.

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It's a one-page document.

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Hopefully, you picked that up.

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I want you to start thinking
about your term projects.

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And so it's a good time to
start thinking about it.

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What I've listed here is maybe
15 or so potential topics

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that you might want to
use for your term project.

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This is not an exhaustive list.

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These are just examples.

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So for example, you could
study dopant diffusion

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in silicon germanium.

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You could read up on that.

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You could study laser
annealing of ion implants

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for shallow junction.

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These are all things that
we don't get a chance

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to cover any great detail--
selective epitaxial

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growth of silicon or
silicon germanium.

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But they are related
to front end processing

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I'd like you to learn
more about in depth.

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So you pick a topic or
you make up a topic.

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Any topic you pick or make up,
it needs to be approved by me.

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And next time over the
next couple of weeks,

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I'm going to bring
in a clipboard.

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And you'll have a chance
to sign up for a topic.

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And I also want to
know whether you

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want to give an oral
presentation or a written

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report.

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The written report
is going to be-- it

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needs to be 20 pages or less.

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And an oral
presentation in class

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is probably going to be about
something like 15 to 17 minutes

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plus questions.

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And I need to start
scheduling that so I

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need to know whether you would
prefer to do your final term

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project as a written or oral.

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And the term project
is not meant for you

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to go read one textbook or one
paper and then regurgitate it.

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The whole idea is you go to
a library, you go online,

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and you read a series
of research papers,

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so maybe some texts,
but most of these topics

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are new enough that you'll
have to read research papers,

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and then write up a report
or give an oral presentation

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about the topic.

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So I don't want you just
to regurgitate one paper.

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And then the other
thing is if you

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do decide to do a
presentation, you'll

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need to have handouts for the
class, just like the handouts

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that I give you, not as long.

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And if you need help making
the handouts in terms

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of getting them
xeroxed, my assistant

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will help you with that.

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So even if you do
the presentation,

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there'll be some preparation
of graphical information.

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So that's to get you
started thinking.

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And as I say, next time I'm
going to bring the clipboard

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and you can start
signing up for topics.

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OK.

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So let's go to the
formal lecture for today,

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which is handout number 19.

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And we're going to talk--
as I mentioned today,

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we're not doing the
SUPREM-IV lecture.

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I shifted the schedule.

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And we're going to
talk about chapter 8.

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The next four lectures are
going to cover chapter 8 so I

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hope you will read it.

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Chapter 8 is about ion
implantation and annealing.

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So we've already talked
about introduction

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to the basic process
flow in CMOS.

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We know how to fabricate
wafers and clean them.

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We discussed in detail
thermal oxidation

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and two-dimensional effects.

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And we spent the last four
lectures talking about diffusion

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and how we model it.

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We're going to come back
to diffusion after we've

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talked about ion implantation.

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But first, I'm going to spend
the next couple of lectures

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talking about the basic
concept of ion implant

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and how it's used, the impact
of the crystal structure,

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there's a phenomenon that's
called channeling, how

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ion implantation is modeled,
and damage annealing,

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and transient
enhanced diffusion.

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Ion implantation is somewhat
unique in this course

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or in any course on processing.

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It is probably the only
process that we can actually

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model from more or
less first principles.

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That is, if you
look at our models

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for [INAUDIBLE]
models for oxidation,

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there are a lot of chemical
processes involved,

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and there's a lot of unknown
constants here and there.

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And the models tend
to be very empirical.

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Ion implantation,
on the other hand,

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is based on fundamental
physics, a lot of it.

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And so it's one of
the few processes

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you can actually model without
too many free parameters.

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You'll see there are some
parameters but not as much as

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other.

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So for people who like
first principles modeling,

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it's somewhat satisfying.

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OK.

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So let's go on to
slide number 2,

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showing you what I call the
old fashioned or traditional

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approach to getting
dopants into a wafer.

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You would coat it with oxide.

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You would open up a hole.

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And we talked about last
time, last few times,

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doing what's called
a predeposition.

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So that used to be,
in predeposition,

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it was a high temperature in
diffusion from the gas phase.

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Typically, in a pre-dep, you
would have in the gas phase

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some kind of dopant gas
like phosphine or whatever.

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And you would keep the
concentration of the dopant

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at the surface at
the solid solubility

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at that temperature
at a very high value.

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And you would do it for
a certain amount of time

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to put in a certain
control dose.

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And then you would turn off the
gas that had the dopant in it.

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And you would do a drive in,
a deep diffusion drive in.

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A big problem with
this method though,

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although it was the original
method, it was very limited

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and it's very hard to control
the actual dose, the integrated

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dose of the dopants that
were put into the wafer.

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If you had an extra few
minutes in the furnace

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or the furnace temperature
was slightly different,

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you would get a
completely different dose.

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So this method was
good in the old days

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but it really gave way some
time ago to ion implantation

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as the method.

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And the only problem with ion
implantation, the good part

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is it has tremendous
control of the dose.

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The bad part or
the issues we have

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is that it does
introduce damage.

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And we have to
anneal that damage

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and repair the crystal in
order to make a good device.

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So let's look on slide 3.

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And from this slide,
we can understand

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why ion implantation was
introduced into manufacturing

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in the late 1970s.

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And this is an
interesting history.

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And it's also an
interesting example

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because it gives you
an idea of if you

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have a new idea-- let's say
you're working here on your PhD

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and you have a new idea
for some great new process.

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The new process,
whatever it might be,

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has to really be an
enabling technology.

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It has to do something that you
cannot do by any other method

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because all new processes
have some bad aspects to them.

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They cost money.

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There's development time.

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Ion implantation adds damage.

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Why would anybody want to do it?

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Well, this is why
because it did something

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that they couldn't
do in the past.

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And basically, in
the late 1970s,

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ion implantation was
introduced as the only means

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to accurately control the
threshold voltage of a MOSFET.

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Without ion implantation,
people couldn't make circuits

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because they could not
control the VT at the level

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that they needed to
be able to control it.

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So if you go back
and look at this

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as an equation we introduced
a number of lectures ago--

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we didn't derive it.

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I just wrote it up there and
you'll have to take it as truth.

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But what it says is that the
threshold voltage of the MOSFET

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depends on a number of terms--

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the flat band voltage.

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It depends on the
doping in the substrate,

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the oxide thickness through
SiOx and things like that.

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There's one last
term here, which

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I circled, which is the
electronic charge q times phi

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where phi is the dose
of a dopant that's

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ion implanted into the surface
of the wafer divided by SiOx.

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So this extra term,
this isn't here

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unless you're doing an
implant but that extra term

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can be added in.

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And if you can very
precisely control phi,

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the dose, then you
can very precisely

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control the threshold
voltage and set it to a level

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that you need.

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So on the left-hand side,
I'm just showing a schematic,

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just reminding you from the
first lecture, what people do

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for a VT adjust implant.

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For example, if you're making an
N-MOSFET on the right-hand side,

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you would ion implant with
boron, a very, very thin surface

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region.

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You block off with
photoresist, the PMOS area.

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And you would implant boron to
adjust the threshold voltage.

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Typically, doses are pretty
low, 10 to the 12, 10 to the 13,

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something like that.

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And energies in this range,
we'll talk about dose and energy

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in more detail in the
next couple of lectures.

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The nice thing is that this
dose fee can be accurately

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controlled, and
that's because it's

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based upon integrating a
current, electronic charge that

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goes into the wafer.

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That's because of the way
we do ion implantation.

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So it turns out the
dose fee is just 1

00:09:34.610 --> 00:09:37.580 align:middle line:84%
over the area, where the
area is the implanted area,

00:09:37.580 --> 00:09:42.180 align:middle line:84%
times the integral
over time of i.

00:09:42.180 --> 00:09:44.790 align:middle line:84%
That's supposed to be an
i, i standing for the beam

00:09:44.790 --> 00:09:48.390 align:middle line:84%
current that's collected
into the wafer, divided

00:09:48.390 --> 00:09:52.000 align:middle line:84%
by the electronic charge,
q, integrated over time.

00:09:52.000 --> 00:09:54.630 align:middle line:84%
So because the ions
coming in are charged,

00:09:54.630 --> 00:09:57.180 align:middle line:84%
they represent a current
flow into the wafer.

00:09:57.180 --> 00:10:00.330 align:middle line:84%
So they're charged, and as the
current flows into the wafer,

00:10:00.330 --> 00:10:02.970 align:middle line:84%
you can measure the current
with an ammeter very accurately.

00:10:02.970 --> 00:10:04.720 align:middle line:84%
And then you can
integrate it over time.

00:10:04.720 --> 00:10:07.770 align:middle line:84%
So you start the implant
opening up a shutter,

00:10:07.770 --> 00:10:10.590 align:middle line:90%
and then you iterate over time.

00:10:10.590 --> 00:10:13.470 align:middle line:84%
Each charge that comes in gets
counted, and then you stop.

00:10:13.470 --> 00:10:15.690 align:middle line:84%
So you can very, very
precisely because it's

00:10:15.690 --> 00:10:17.340 align:middle line:84%
based on charge
counting techniques,

00:10:17.340 --> 00:10:20.520 align:middle line:84%
not on some chemistry pushing
away from into a hot furnace,

00:10:20.520 --> 00:10:22.028 align:middle line:90%
hope the temperature is right.

00:10:22.028 --> 00:10:23.820 align:middle line:84%
Oh, you pushed it for
ten seconds too long.

00:10:23.820 --> 00:10:24.320 align:middle line:90%
What?

00:10:24.320 --> 00:10:25.590 align:middle line:90%
Pull it out.

00:10:25.590 --> 00:10:27.935 align:middle line:84%
It's more of a
physics-based approach.

00:10:27.935 --> 00:10:30.372 align:middle line:90%


00:10:30.372 --> 00:10:31.830 align:middle line:84%
From a manufacturing
point of view,

00:10:31.830 --> 00:10:34.470 align:middle line:84%
that was an important
breakthrough

00:10:34.470 --> 00:10:39.120 align:middle line:90%
in the fabrication of MOSFETs.

00:10:39.120 --> 00:10:42.580 align:middle line:84%
Let's just do an
example on slide 4

00:10:42.580 --> 00:10:45.850 align:middle line:84%
that illustrates the
controls that you can

00:10:45.850 --> 00:10:47.180 align:middle line:90%
get during ion implantation.

00:10:47.180 --> 00:10:52.990 align:middle line:84%
So let's say that we need
to calculate the dose rate.

00:10:52.990 --> 00:10:54.730 align:middle line:84%
OK, so that'll be
the number of atoms

00:10:54.730 --> 00:10:57.370 align:middle line:84%
per square centimeter going
into the wafer per second

00:10:57.370 --> 00:11:00.010 align:middle line:90%
or per unit time.

00:11:00.010 --> 00:11:02.920 align:middle line:84%
I'm going to assume that we
have an ion beam current,

00:11:02.920 --> 00:11:04.690 align:middle line:84%
so that's the beam
coming into the wafer.

00:11:04.690 --> 00:11:07.133 align:middle line:84%
The beam current
is 0.1 microamp.

00:11:07.133 --> 00:11:08.800 align:middle line:84%
OK, and we measure
that very accurately.

00:11:08.800 --> 00:11:11.020 align:middle line:90%
It's a tenth of a microamp.

00:11:11.020 --> 00:11:13.360 align:middle line:84%
And we assume we're
implanting an area that's

00:11:13.360 --> 00:11:17.080 align:middle line:84%
20 by 20 square centimeters,
just for the sake of--

00:11:17.080 --> 00:11:19.130 align:middle line:90%
we just know that's our area.

00:11:19.130 --> 00:11:22.690 align:middle line:84%
So basically, I can
calculate the dose.

00:11:22.690 --> 00:11:24.550 align:middle line:84%
And just like that
formula we just said,

00:11:24.550 --> 00:11:26.740 align:middle line:84%
it's 1 over the area times
the integral of the beam

00:11:26.740 --> 00:11:31.450 align:middle line:84%
current, which is 0.1, over
the electronic charge, dt.

00:11:31.450 --> 00:11:33.610 align:middle line:84%
Now if the beam current
doesn't vary with time--

00:11:33.610 --> 00:11:35.440 align:middle line:90%
say, it's a constant 0.1--

00:11:35.440 --> 00:11:36.850 align:middle line:90%
then the integral is easy.

00:11:36.850 --> 00:11:39.520 align:middle line:84%
It's just the current
times the total time

00:11:39.520 --> 00:11:43.990 align:middle line:84%
of the implant divided by the
electronic charge times the area

00:11:43.990 --> 00:11:46.710 align:middle line:90%
for a constant current.

00:11:46.710 --> 00:11:50.580 align:middle line:84%
OK, so the dose rate will
then be, just take the dose

00:11:50.580 --> 00:11:52.230 align:middle line:90%
and divide it by the total time.

00:11:52.230 --> 00:11:54.360 align:middle line:84%
Average dose rate,
dose divided by t,

00:11:54.360 --> 00:11:55.980 align:middle line:84%
it's just the beam
current divided

00:11:55.980 --> 00:11:58.970 align:middle line:84%
by q, the electronic
charge, times the area.

00:11:58.970 --> 00:12:01.750 align:middle line:90%
So you end up with a dose rate.

00:12:01.750 --> 00:12:06.430 align:middle line:84%
For that beam current, you're
putting in about 1.6 times 10

00:12:06.430 --> 00:12:10.300 align:middle line:84%
to the 9th atoms per square
centimeter per second.

00:12:10.300 --> 00:12:12.010 align:middle line:90%
So that's pretty good control.

00:12:12.010 --> 00:12:16.450 align:middle line:84%
Let's say, I want to
implant 10 to the 12th atoms

00:12:16.450 --> 00:12:18.430 align:middle line:90%
per square centimeter.

00:12:18.430 --> 00:12:21.070 align:middle line:84%
Well, you can just divide
that into 10 of the 12th,

00:12:21.070 --> 00:12:23.370 align:middle line:84%
and you figure out how
many seconds it would take.

00:12:23.370 --> 00:12:24.920 align:middle line:84%
It's a reasonable
amount of time.

00:12:24.920 --> 00:12:28.330 align:middle line:84%
And then you can adjust your
beam current and the time

00:12:28.330 --> 00:12:31.750 align:middle line:84%
to make it something that's
physically realizable.

00:12:31.750 --> 00:12:34.720 align:middle line:84%
So this has tremendous
control, very good accuracy,

00:12:34.720 --> 00:12:36.910 align:middle line:90%
and it's very reproducible.

00:12:36.910 --> 00:12:41.800 align:middle line:84%
It has good dynamic range
because you can adjust your beam

00:12:41.800 --> 00:12:45.290 align:middle line:84%
current down from something
like 0.01 microamps

00:12:45.290 --> 00:12:47.560 align:middle line:84%
if you want to do a
very, very low dose.

00:12:47.560 --> 00:12:50.380 align:middle line:84%
You're putting at
a very slow rate.

00:12:50.380 --> 00:12:53.263 align:middle line:84%
You put the ions in, and
you integrate them up.

00:12:53.263 --> 00:12:55.180 align:middle line:84%
Or you can do it if you
have a very high dose.

00:12:55.180 --> 00:12:57.820 align:middle line:84%
You might have to have a
milliamp of beam current going

00:12:57.820 --> 00:13:00.550 align:middle line:90%
into the wafer.

00:13:00.550 --> 00:13:04.010 align:middle line:84%
Either way, you get
very, very good control.

00:13:04.010 --> 00:13:08.500 align:middle line:84%
So let's compare
this ion implant case

00:13:08.500 --> 00:13:11.630 align:middle line:84%
to the case of where I want to
use the old-fashioned method.

00:13:11.630 --> 00:13:13.810 align:middle line:84%
So instead of
implanting boron, I'm

00:13:13.810 --> 00:13:17.370 align:middle line:84%
going to do a boron
pre-dip at 1,000.

00:13:17.370 --> 00:13:19.360 align:middle line:84%
And again, in order
to control this,

00:13:19.360 --> 00:13:21.940 align:middle line:84%
we don't want it to depend
on the flow rate of the gas,

00:13:21.940 --> 00:13:25.680 align:middle line:84%
so we typically do make it so
that the surface concentration

00:13:25.680 --> 00:13:28.650 align:middle line:84%
is at the solid solubility
for boron, which is about 10

00:13:28.650 --> 00:13:31.510 align:middle line:84%
to the 20th per
cubic centimeter.

00:13:31.510 --> 00:13:33.990 align:middle line:84%
So remember, when
you're doing a pre-dip,

00:13:33.990 --> 00:13:36.480 align:middle line:84%
you get a complementary
error function profile

00:13:36.480 --> 00:13:38.670 align:middle line:84%
and that the dose of
the integral of that

00:13:38.670 --> 00:13:40.840 align:middle line:90%
can be given by this equation.

00:13:40.840 --> 00:13:43.890 align:middle line:84%
So the dose is 2 times
the surface concentration

00:13:43.890 --> 00:13:48.060 align:middle line:84%
divided by the square root of
pi times the square root of dt,

00:13:48.060 --> 00:13:51.420 align:middle line:84%
so where d is the diffusion
rate, the diffusivity of boron

00:13:51.420 --> 00:13:52.990 align:middle line:90%
in silicon at that temperature.

00:13:52.990 --> 00:13:55.930 align:middle line:84%
And so we can look that up in
the chart, so it's about 10

00:13:55.930 --> 00:13:58.540 align:middle line:84%
to the minus 12
centimeters squared

00:13:58.540 --> 00:14:02.510 align:middle line:84%
per second at that
concentration and temperature.

00:14:02.510 --> 00:14:06.220 align:middle line:84%
So in one second, you've
already put into the wafer 10

00:14:06.220 --> 00:14:09.470 align:middle line:84%
to the 14th atoms per square
centimeter, a very high dose.

00:14:09.470 --> 00:14:12.100 align:middle line:84%
So there's no way
you could really do--

00:14:12.100 --> 00:14:14.540 align:middle line:84%
if I want an implant
of 10 to the 12th,

00:14:14.540 --> 00:14:16.670 align:middle line:84%
there's just no way you
can get that low of a dose

00:14:16.670 --> 00:14:19.570 align:middle line:84%
and with any kind
of control by using

00:14:19.570 --> 00:14:21.500 align:middle line:90%
a chemical pre-dip technique.

00:14:21.500 --> 00:14:25.420 align:middle line:84%
So again, this was
the big breakthrough

00:14:25.420 --> 00:14:26.830 align:middle line:90%
in ion implantation.

00:14:26.830 --> 00:14:29.950 align:middle line:84%
People found they needed to
control threshold voltage,

00:14:29.950 --> 00:14:32.530 align:middle line:84%
and they needed to implant
relatively low doses

00:14:32.530 --> 00:14:35.320 align:middle line:84%
very accurately so they get
a very good number for VT.

00:14:35.320 --> 00:14:37.910 align:middle line:84%
And pre-dip was not going
to be a way to do it,

00:14:37.910 --> 00:14:40.825 align:middle line:90%
so ion implant filled that need.

00:14:40.825 --> 00:14:43.920 align:middle line:90%


00:14:43.920 --> 00:14:47.280 align:middle line:84%
OK, so let's go on
to slide number 5.

00:14:47.280 --> 00:14:49.380 align:middle line:84%
Before we get into the
details of the physics,

00:14:49.380 --> 00:14:52.445 align:middle line:84%
we'll just talk about
some basic concepts.

00:14:52.445 --> 00:14:54.570 align:middle line:84%
As I mentioned, it's the
dominant method used today

00:14:54.570 --> 00:14:58.020 align:middle line:84%
to introduce dopants, in
spite of the fact that it

00:14:58.020 --> 00:15:00.900 align:middle line:84%
has a huge amount of damage
it does to the lattice.

00:15:00.900 --> 00:15:02.700 align:middle line:84%
And these are all the
good things about it.

00:15:02.700 --> 00:15:07.350 align:middle line:84%
I've already mentioned
control, but dynamic range,

00:15:07.350 --> 00:15:09.570 align:middle line:90%
a large range of doses.

00:15:09.570 --> 00:15:13.680 align:middle line:84%
It's essential to maintain
or control the VT.

00:15:13.680 --> 00:15:16.630 align:middle line:84%
You can make a buried
or retrograde profile.

00:15:16.630 --> 00:15:19.230 align:middle line:84%
Remember, with a
complementary error function,

00:15:19.230 --> 00:15:24.580 align:middle line:84%
if you plot the shape of the
profile as a function of depth--

00:15:24.580 --> 00:15:29.552 align:middle line:84%
so this is depth, and this
is the concentration--

00:15:29.552 --> 00:15:31.260 align:middle line:84%
in diffusion from the
surface, you always

00:15:31.260 --> 00:15:34.345 align:middle line:84%
get a higher concentration at
the surface than you do here.

00:15:34.345 --> 00:15:35.970 align:middle line:84%
But with an implant,
you can actually--

00:15:35.970 --> 00:15:38.040 align:middle line:84%
if you want, you can
make it look like that.

00:15:38.040 --> 00:15:40.830 align:middle line:84%
You can bury the peak and
make it look retrograde.

00:15:40.830 --> 00:15:42.540 align:middle line:84%
So you have the
ability to do that.

00:15:42.540 --> 00:15:45.238 align:middle line:84%
You have the ability
to control that.

00:15:45.238 --> 00:15:46.530 align:middle line:90%
It's a low-temperature process.

00:15:46.530 --> 00:15:49.710 align:middle line:84%
It happens at room temperature,
which is an advantage.

00:15:49.710 --> 00:15:52.080 align:middle line:84%
And there's a wide choice
of masking materials.

00:15:52.080 --> 00:15:55.090 align:middle line:84%
If you're trying to
mask a diffusion,

00:15:55.090 --> 00:15:57.300 align:middle line:84%
well, there's only a few
materials you can put down,

00:15:57.300 --> 00:16:00.030 align:middle line:84%
either oxide or nitride,
that might keep the dopants

00:16:00.030 --> 00:16:01.243 align:middle line:90%
from diffusing through there.

00:16:01.243 --> 00:16:02.910 align:middle line:84%
If you're trying to
mask an ion implant,

00:16:02.910 --> 00:16:05.490 align:middle line:84%
you can use photoresist,
a very simple,

00:16:05.490 --> 00:16:08.238 align:middle line:90%
low-temperature material.

00:16:08.238 --> 00:16:09.780 align:middle line:84%
There are some
disadvantages, though.

00:16:09.780 --> 00:16:12.482 align:middle line:84%
Of course, we mentioned that
you are bashing up the crystal,

00:16:12.482 --> 00:16:13.440 align:middle line:90%
and you're damaging it.

00:16:13.440 --> 00:16:16.200 align:middle line:84%
And you have to remove
that damage by heating it,

00:16:16.200 --> 00:16:20.310 align:middle line:84%
and the heating causes some
problems with diffusion.

00:16:20.310 --> 00:16:21.870 align:middle line:84%
In fact, there's
an anomalous type

00:16:21.870 --> 00:16:24.360 align:middle line:84%
of diffusion due to ion
implant damage that we're

00:16:24.360 --> 00:16:27.690 align:middle line:84%
going to study called Transient
Enhanced Diffusion, or TED,

00:16:27.690 --> 00:16:32.940 align:middle line:84%
that happens due to the injected
defects from the implant.

00:16:32.940 --> 00:16:35.550 align:middle line:84%
Nevertheless, people have
found out how to model TED,

00:16:35.550 --> 00:16:39.540 align:middle line:84%
and they found, in some
cases, ways around it.

00:16:39.540 --> 00:16:41.580 align:middle line:84%
And the other disadvantage
is you can insulate,

00:16:41.580 --> 00:16:43.860 align:middle line:84%
and you can have
oxide on the wafer.

00:16:43.860 --> 00:16:45.770 align:middle line:84%
You can tend to charge
it up, so you have

00:16:45.770 --> 00:16:46.990 align:middle line:90%
to be a little bit careful.

00:16:46.990 --> 00:16:50.020 align:middle line:84%
But there's ways to flood the
wafer with an electron gun

00:16:50.020 --> 00:16:53.050 align:middle line:84%
and all kinds of things to keep
your wafer from charging up.

00:16:53.050 --> 00:16:55.930 align:middle line:90%


00:16:55.930 --> 00:17:00.130 align:middle line:84%
If we go to slide 6, this
is a schematic diagram

00:17:00.130 --> 00:17:02.320 align:middle line:84%
of what an ion
implanter looks like,

00:17:02.320 --> 00:17:05.650 align:middle line:84%
at least a sort of a
traditional diagram of how

00:17:05.650 --> 00:17:07.250 align:middle line:90%
an implanter is designed.

00:17:07.250 --> 00:17:13.040 align:middle line:84%
What you have here in this
big box are two key things.

00:17:13.040 --> 00:17:14.810 align:middle line:84%
And all of this is
in a vacuum system,

00:17:14.810 --> 00:17:17.800 align:middle line:84%
so this entire thing is
being pumped down by a pump.

00:17:17.800 --> 00:17:19.930 align:middle line:90%
You have an ion source.

00:17:19.930 --> 00:17:23.589 align:middle line:84%
So that has a gas in it
or something that ionizes

00:17:23.589 --> 00:17:25.839 align:middle line:90%
the species of interest.

00:17:25.839 --> 00:17:27.520 align:middle line:90%
Maybe you have a gas in there.

00:17:27.520 --> 00:17:29.710 align:middle line:90%
You put BF2.

00:17:29.710 --> 00:17:32.590 align:middle line:90%
OK, so BF2 gas or whatever.

00:17:32.590 --> 00:17:36.160 align:middle line:84%
And then you're going
to ionize, so you

00:17:36.160 --> 00:17:38.710 align:middle line:84%
have a way with a hot
filament of creating ions,

00:17:38.710 --> 00:17:42.700 align:middle line:84%
and you create B double plus,
B plus, fluorine, BF 2-plus.

00:17:42.700 --> 00:17:44.590 align:middle line:84%
You create all these
different ions,

00:17:44.590 --> 00:17:46.443 align:middle line:84%
of which there are
some that contain

00:17:46.443 --> 00:17:48.610 align:middle line:84%
boron, which is what you
want to implant, let's say,

00:17:48.610 --> 00:17:49.277 align:middle line:90%
in this example.

00:17:49.277 --> 00:17:51.740 align:middle line:90%


00:17:51.740 --> 00:17:57.400 align:middle line:84%
The ion source extracts
the ions at a given energy,

00:17:57.400 --> 00:17:59.560 align:middle line:90%
say, from 0 to 30 keV.

00:17:59.560 --> 00:18:03.130 align:middle line:84%
So we can set the energy
of the ions coming out just

00:18:03.130 --> 00:18:07.060 align:middle line:84%
by knowing this extraction
voltage, the extraction that we

00:18:07.060 --> 00:18:09.050 align:middle line:90%
apply to this grid.

00:18:09.050 --> 00:18:11.380 align:middle line:84%
So we know the energy
of the ions coming out,

00:18:11.380 --> 00:18:13.030 align:middle line:84%
and then we do a
standard-- what's

00:18:13.030 --> 00:18:14.470 align:middle line:90%
called an E cross B filter.

00:18:14.470 --> 00:18:16.767 align:middle line:84%
This happens in any
kind of mass analyzer.

00:18:16.767 --> 00:18:18.850 align:middle line:84%
This is what's happening
when you do secondary ion

00:18:18.850 --> 00:18:20.270 align:middle line:90%
mass spectrometry or whatever.

00:18:20.270 --> 00:18:23.920 align:middle line:84%
But if you know the energy
of the particles coming out,

00:18:23.920 --> 00:18:25.750 align:middle line:84%
and you bend them
in a magnet, you

00:18:25.750 --> 00:18:28.660 align:middle line:84%
can mass analyze
them and only pick

00:18:28.660 --> 00:18:30.970 align:middle line:84%
those ions that
have the right mass.

00:18:30.970 --> 00:18:33.370 align:middle line:84%
So I can be sure that
I just implant boron.

00:18:33.370 --> 00:18:35.170 align:middle line:84%
I don't want to
implant fluorine.

00:18:35.170 --> 00:18:37.480 align:middle line:84%
I don't want to plant
nitrogen or oxygen or carbon

00:18:37.480 --> 00:18:39.563 align:middle line:84%
or anything else that
happens to be in the source.

00:18:39.563 --> 00:18:41.140 align:middle line:90%
I only want to pick one species.

00:18:41.140 --> 00:18:43.380 align:middle line:90%
In this case, let's say boron.

00:18:43.380 --> 00:18:45.410 align:middle line:84%
So basically, how this
works, if you go back

00:18:45.410 --> 00:18:47.690 align:middle line:84%
to any of your
elementary physics class,

00:18:47.690 --> 00:18:52.640 align:middle line:84%
you know that what's
happening here in the ions

00:18:52.640 --> 00:18:55.070 align:middle line:84%
as they traverse this
arc in the magnet,

00:18:55.070 --> 00:18:59.030 align:middle line:84%
the centrifugal force is
balanced by the magnetic force,

00:18:59.030 --> 00:19:00.590 align:middle line:90%
the V cross B force.

00:19:00.590 --> 00:19:04.760 align:middle line:84%
So that has to be the case for
ions going through this arc.

00:19:04.760 --> 00:19:08.750 align:middle line:84%
And you also know the velocity
of the ions coming into the arc

00:19:08.750 --> 00:19:10.280 align:middle line:90%
because you know their energy.

00:19:10.280 --> 00:19:12.210 align:middle line:84%
And that is set
by this extraction

00:19:12.210 --> 00:19:14.290 align:middle line:90%
of voltage, the extraction.

00:19:14.290 --> 00:19:17.160 align:middle line:84%
So I have a velocity that I can
plug into this upper equation,

00:19:17.160 --> 00:19:19.140 align:middle line:84%
and that is going to
relate, then-- end up

00:19:19.140 --> 00:19:21.540 align:middle line:84%
relating the mass of
the ion that makes it

00:19:21.540 --> 00:19:23.670 align:middle line:90%
through this resolving slit.

00:19:23.670 --> 00:19:26.130 align:middle line:84%
That mass can then be
related to the energy, which

00:19:26.130 --> 00:19:30.070 align:middle line:84%
is related to the extraction
voltage and the magnet current.

00:19:30.070 --> 00:19:32.640 align:middle line:84%
So this is usually
an electromagnet,

00:19:32.640 --> 00:19:34.110 align:middle line:90%
which I can adjust the current.

00:19:34.110 --> 00:19:37.530 align:middle line:84%
So all you need to do to be
sure that you're implanting

00:19:37.530 --> 00:19:40.920 align:middle line:84%
one particular species is, you
adjust the extraction voltage,

00:19:40.920 --> 00:19:43.410 align:middle line:84%
and you adjust the current
going through the magnet.

00:19:43.410 --> 00:19:46.560 align:middle line:84%
And then the only ions that
make it are those that you want

00:19:46.560 --> 00:19:48.720 align:middle line:90%
to implant with the right mass.

00:19:48.720 --> 00:19:49.980 align:middle line:90%
So this is a way.

00:19:49.980 --> 00:19:52.170 align:middle line:84%
And then once you have
the ions that you need--

00:19:52.170 --> 00:19:54.060 align:middle line:84%
you've extracted
out all the others,

00:19:54.060 --> 00:19:56.518 align:middle line:84%
and you just have the ones you
need-- then you can put them

00:19:56.518 --> 00:19:59.340 align:middle line:84%
through a high-voltage
accelerator to get them up to,

00:19:59.340 --> 00:20:03.380 align:middle line:84%
if you want to implant
very high voltages, say, 50

00:20:03.380 --> 00:20:06.120 align:middle line:90%
to 100 or 200 kilovolts.

00:20:06.120 --> 00:20:07.710 align:middle line:84%
You focus the beam,
and then there

00:20:07.710 --> 00:20:14.910 align:middle line:84%
are a series of XMY scan plates
where you have an E field that's

00:20:14.910 --> 00:20:16.410 align:middle line:84%
taking the beam and
moving it around

00:20:16.410 --> 00:20:18.990 align:middle line:84%
like I'm moving this laser
pointer right now, scanning it

00:20:18.990 --> 00:20:20.407 align:middle line:90%
randomly across the wafer.

00:20:20.407 --> 00:20:21.990 align:middle line:84%
And that's how you
do the ion implant.

00:20:21.990 --> 00:20:26.790 align:middle line:84%
And then the important thing is
that the wafer is attached here

00:20:26.790 --> 00:20:29.580 align:middle line:84%
to this device, which has
a current integrator, which

00:20:29.580 --> 00:20:31.230 align:middle line:84%
integrates the
dose going into it.

00:20:31.230 --> 00:20:34.670 align:middle line:84%
So it knows when to start
and stop the implant.

00:20:34.670 --> 00:20:36.710 align:middle line:84%
So a very basic
sort of physics-type

00:20:36.710 --> 00:20:38.750 align:middle line:90%
of accelerator setup.

00:20:38.750 --> 00:20:41.380 align:middle line:90%


00:20:41.380 --> 00:20:43.960 align:middle line:90%
We go on to slide 7.

00:20:43.960 --> 00:20:46.330 align:middle line:84%
What I just showed was
the practical aspects.

00:20:46.330 --> 00:20:47.870 align:middle line:90%
Let's talk a little bit--

00:20:47.870 --> 00:20:49.870 align:middle line:84%
we won't talk about the
physics of stopping yet,

00:20:49.870 --> 00:20:52.780 align:middle line:84%
but let's just talk about
what profiles look like.

00:20:52.780 --> 00:20:56.830 align:middle line:84%
I drew a profile up here
that I said is somewhat what

00:20:56.830 --> 00:20:58.130 align:middle line:90%
an ion implant might look like.

00:20:58.130 --> 00:21:01.330 align:middle line:84%
Let's think about
what that might be.

00:21:01.330 --> 00:21:03.418 align:middle line:84%
Imagine we have a surface
of a silicon wafer.

00:21:03.418 --> 00:21:04.960 align:middle line:84%
So the silicon is
on the right here--

00:21:04.960 --> 00:21:07.120 align:middle line:84%
this is the interface
with the vacuum--

00:21:07.120 --> 00:21:08.500 align:middle line:90%
and on the left is a vacuum.

00:21:08.500 --> 00:21:11.470 align:middle line:84%
And you have a beam of
ions coming, in this case,

00:21:11.470 --> 00:21:14.320 align:middle line:90%
right in this red spot.

00:21:14.320 --> 00:21:16.810 align:middle line:84%
Any given ion that
comes in is going

00:21:16.810 --> 00:21:20.050 align:middle line:84%
to come in and experience
a series of collisions.

00:21:20.050 --> 00:21:23.082 align:middle line:84%
And in fact, many of them
are billiard ball-like.

00:21:23.082 --> 00:21:24.790 align:middle line:84%
It's going to have a
series of collisions

00:21:24.790 --> 00:21:26.735 align:middle line:90%
with atoms in the substrate.

00:21:26.735 --> 00:21:29.110 align:middle line:84%
You can see it's having little
collisions here and there.

00:21:29.110 --> 00:21:32.350 align:middle line:84%
And it loses energy as it
goes in via these processes

00:21:32.350 --> 00:21:34.840 align:middle line:84%
and eventually comes to
rest at some point here,

00:21:34.840 --> 00:21:38.550 align:middle line:90%
shown by this little blue dot.

00:21:38.550 --> 00:21:40.830 align:middle line:84%
So there's a couple of
pieces of terminology.

00:21:40.830 --> 00:21:44.430 align:middle line:84%
We call the total range of this
ion as the total path length.

00:21:44.430 --> 00:21:46.680 align:middle line:84%
It's the sum of all
these little lengths.

00:21:46.680 --> 00:21:49.080 align:middle line:84%
That's the total
length it traversed.

00:21:49.080 --> 00:21:51.060 align:middle line:84%
The total length is
not as interesting.

00:21:51.060 --> 00:21:54.280 align:middle line:84%
What we usually care
about is the depth.

00:21:54.280 --> 00:21:57.270 align:middle line:84%
So the projected range,
that's the projection

00:21:57.270 --> 00:22:01.600 align:middle line:84%
of its total length along
the normal to the surface.

00:22:01.600 --> 00:22:03.975 align:middle line:84%
That's what we care
about, how deep did it go.

00:22:03.975 --> 00:22:07.530 align:middle line:90%


00:22:07.530 --> 00:22:10.140 align:middle line:84%
Usually, projected range
is very near the peak

00:22:10.140 --> 00:22:11.980 align:middle line:90%
of the distribution.

00:22:11.980 --> 00:22:13.620 align:middle line:84%
So the things you
need to remember

00:22:13.620 --> 00:22:15.660 align:middle line:84%
are, ion implantation
is a random process.

00:22:15.660 --> 00:22:16.680 align:middle line:90%
Ions come in.

00:22:16.680 --> 00:22:18.840 align:middle line:84%
A whole bunch of them
come in, and they randomly

00:22:18.840 --> 00:22:21.870 align:middle line:84%
hit various things and
lose energy and end up

00:22:21.870 --> 00:22:24.190 align:middle line:90%
in some distribution.

00:22:24.190 --> 00:22:28.450 align:middle line:84%
So it's a statistical
type of process.

00:22:28.450 --> 00:22:30.190 align:middle line:84%
The ions are pretty
high in energy.

00:22:30.190 --> 00:22:32.530 align:middle line:84%
We're talking about 1
kilovolt at the lowest

00:22:32.530 --> 00:22:36.430 align:middle line:84%
probably up to maybe a megavolt.
That's the range of energies,

00:22:36.430 --> 00:22:39.790 align:middle line:84%
believe it or not, that people
use in making modern devices.

00:22:39.790 --> 00:22:42.460 align:middle line:84%
They can even get as
high as a megavolt.

00:22:42.460 --> 00:22:46.000 align:middle line:84%
These hit the silicon
substrate, and they lose energy.

00:22:46.000 --> 00:22:49.240 align:middle line:84%
I already mentioned about these
nuclear billiard ball-like

00:22:49.240 --> 00:22:51.790 align:middle line:84%
collisions, just
like on a pool table.

00:22:51.790 --> 00:22:53.510 align:middle line:84%
There's also
electronic drag forces.

00:22:53.510 --> 00:22:55.730 align:middle line:84%
So there's two mechanisms,
and in the next lecture,

00:22:55.730 --> 00:22:57.670 align:middle line:84%
we'll talk in great
detail about the physics

00:22:57.670 --> 00:23:01.300 align:middle line:84%
of nuclear collisions and the
physics of this electronic drag.

00:23:01.300 --> 00:23:03.610 align:middle line:84%
Just for now, take it
as a given that there

00:23:03.610 --> 00:23:06.370 align:middle line:84%
are these forces, these
things that slow the ion down

00:23:06.370 --> 00:23:09.940 align:middle line:84%
so they eventually end up
coming to rest in the crystal.

00:23:09.940 --> 00:23:13.210 align:middle line:90%


00:23:13.210 --> 00:23:18.300 align:middle line:84%
So if we go on to slide
8, let's take a look

00:23:18.300 --> 00:23:21.780 align:middle line:84%
at a plot of the distribution
of ions implanted into silicon.

00:23:21.780 --> 00:23:25.900 align:middle line:84%
Here's an example where the
beam energy is 200 kilovolts.

00:23:25.900 --> 00:23:28.440 align:middle line:84%
So you adjust the beam
energy so that you

00:23:28.440 --> 00:23:30.720 align:middle line:90%
have 200 keV ions coming in.

00:23:30.720 --> 00:23:33.360 align:middle line:84%
And this is a plot
of the concentration

00:23:33.360 --> 00:23:37.050 align:middle line:84%
of the dopant in atoms
per cubic centimeter

00:23:37.050 --> 00:23:39.870 align:middle line:84%
as a function of depth into
the crystal, into silicon.

00:23:39.870 --> 00:23:43.570 align:middle line:84%
And we're showing several
different types of ions.

00:23:43.570 --> 00:23:46.680 align:middle line:84%
So if you look at this blue
curve here, this is antimony.

00:23:46.680 --> 00:23:48.970 align:middle line:84%
Notice the antimony
didn't go very far.

00:23:48.970 --> 00:23:50.850 align:middle line:84%
It ended up piling
up, looks like

00:23:50.850 --> 00:23:53.640 align:middle line:84%
a Gaussian-like distribution,
pretty close to the surface.

00:23:53.640 --> 00:23:55.020 align:middle line:90%
The black is phosphorus.

00:23:55.020 --> 00:23:57.990 align:middle line:90%
It went a little further.

00:23:57.990 --> 00:23:58.890 align:middle line:90%
Arsenic, I'm sorry.

00:23:58.890 --> 00:23:59.940 align:middle line:90%
The black is arsenic.

00:23:59.940 --> 00:24:03.240 align:middle line:90%
Phosphorus here is the red.

00:24:03.240 --> 00:24:03.990 align:middle line:90%
It goes further.

00:24:03.990 --> 00:24:06.210 align:middle line:84%
And the one that goes the
furthest here is boron.

00:24:06.210 --> 00:24:08.580 align:middle line:90%
That's shown in green.

00:24:08.580 --> 00:24:11.170 align:middle line:84%
Boron is the lightest
of all those elements,

00:24:11.170 --> 00:24:12.810 align:middle line:90%
so it kind of makes sense.

00:24:12.810 --> 00:24:14.220 align:middle line:90%
Boron is lighter.

00:24:14.220 --> 00:24:18.040 align:middle line:84%
It's going to lose less
energy in its collisions,

00:24:18.040 --> 00:24:19.860 align:middle line:84%
so it's going to
travel further overall.

00:24:19.860 --> 00:24:22.740 align:middle line:84%
And not only does it travel
further into the crystal,

00:24:22.740 --> 00:24:25.950 align:middle line:84%
its projected range here
is about 0.5 or 0.55.

00:24:25.950 --> 00:24:27.150 align:middle line:90%
It's also broader.

00:24:27.150 --> 00:24:28.620 align:middle line:90%
Its distribution is very broad.

00:24:28.620 --> 00:24:30.870 align:middle line:84%
Look how broad this is
compared to the antimony, which

00:24:30.870 --> 00:24:34.060 align:middle line:84%
has a very, very
tight distribution.

00:24:34.060 --> 00:24:39.520 align:middle line:84%
So as a physical process, it
depends very much on the mass.

00:24:39.520 --> 00:24:42.610 align:middle line:84%
We often describe
profiles very roughly

00:24:42.610 --> 00:24:44.860 align:middle line:90%
by a Gaussian distribution.

00:24:44.860 --> 00:24:47.950 align:middle line:84%
It's not really Gaussian, but
for a heavy ion like antimony,

00:24:47.950 --> 00:24:50.240 align:middle line:84%
it turns out to be
reasonably accurate.

00:24:50.240 --> 00:24:53.230 align:middle line:84%
So the first-order
description is a Gaussian,

00:24:53.230 --> 00:24:56.840 align:middle line:84%
and a Gaussian
has two variables.

00:24:56.840 --> 00:25:00.760 align:middle line:84%
One is the projected range,
Rp, which gives the peak point

00:25:00.760 --> 00:25:04.480 align:middle line:84%
in depth of the Gaussian,
and the standard deviation,

00:25:04.480 --> 00:25:11.590 align:middle line:84%
delta Rp, which for a Gaussian,
is a measure of the half-width

00:25:11.590 --> 00:25:13.840 align:middle line:90%
basically.

00:25:13.840 --> 00:25:17.940 align:middle line:84%
So for a simple Gaussian,
we only need two parameters.

00:25:17.940 --> 00:25:20.380 align:middle line:84%
And in fact, you can
write-- on slide 9,

00:25:20.380 --> 00:25:26.430 align:middle line:84%
I've written down the equation
for a simple Gaussian profile

00:25:26.430 --> 00:25:28.330 align:middle line:84%
with a certain
peak concentration.

00:25:28.330 --> 00:25:30.960 align:middle line:84%
And this Gaussian
is centered at Rp.

00:25:30.960 --> 00:25:34.140 align:middle line:84%
You can see that just by
plugging in x equals Rp,

00:25:34.140 --> 00:25:36.060 align:middle line:84%
this whole thing
goes e to the 0.

00:25:36.060 --> 00:25:38.970 align:middle line:84%
So you get the peak
concentration at x equals Rp,

00:25:38.970 --> 00:25:42.840 align:middle line:84%
and it has a standard
deviation, delta Rp.

00:25:42.840 --> 00:25:44.790 align:middle line:84%
The integral of this,
if you integrate

00:25:44.790 --> 00:25:48.600 align:middle line:84%
the Gaussian, that Gaussian's is
integral is known analytically.

00:25:48.600 --> 00:25:50.850 align:middle line:84%
So the integrated dose
is just square root

00:25:50.850 --> 00:25:55.090 align:middle line:84%
of 2 pi times delta Rp
times the p concentration.

00:25:55.090 --> 00:25:58.980 align:middle line:84%
So this tells you, if I
told you I implant antimony

00:25:58.980 --> 00:26:03.870 align:middle line:84%
at a particular dose and
energy, you can look up--

00:26:03.870 --> 00:26:07.200 align:middle line:84%
there are tables which you
can look up the delta Rp,

00:26:07.200 --> 00:26:09.060 align:middle line:84%
and then you can
calculate, knowing

00:26:09.060 --> 00:26:11.730 align:middle line:84%
that if I give you the
dose, and you know delta Rp,

00:26:11.730 --> 00:26:14.220 align:middle line:84%
you can calculate the peak
concentration right away if you

00:26:14.220 --> 00:26:15.348 align:middle line:90%
assumed it was a Gaussian.

00:26:15.348 --> 00:26:16.890 align:middle line:84%
So you can do some
very simple things

00:26:16.890 --> 00:26:19.360 align:middle line:90%
with simple hand calculation.

00:26:19.360 --> 00:26:20.440 align:middle line:90%
Again, what is q?

00:26:20.440 --> 00:26:21.220 align:middle line:90%
It's the dose.

00:26:21.220 --> 00:26:23.840 align:middle line:84%
It's the integrated number of
ions per square centimeter.

00:26:23.840 --> 00:26:27.910 align:middle line:84%
So literally, in this
profile, if I took the area

00:26:27.910 --> 00:26:34.120 align:middle line:84%
under this curve, under the
concentration versus depth,

00:26:34.120 --> 00:26:37.320 align:middle line:84%
that's the dose the number of
ions per square centimeter.

00:26:37.320 --> 00:26:40.870 align:middle line:84%
And again, we control that by
measuring the integrated beam

00:26:40.870 --> 00:26:41.370 align:middle line:90%
current.

00:26:41.370 --> 00:26:43.995 align:middle line:90%


00:26:43.995 --> 00:26:45.620 align:middle line:84%
We'll say a little
bit more about this.

00:26:45.620 --> 00:26:48.280 align:middle line:84%
But if I go back
briefly to slide 8,

00:26:48.280 --> 00:26:50.270 align:middle line:84%
you notice some of
these-- the antimony

00:26:50.270 --> 00:26:52.270 align:middle line:84%
is quite symmetrical and
quite Gaussian-looking.

00:26:52.270 --> 00:26:54.880 align:middle line:84%
The boron profile is
not so symmetrical.

00:26:54.880 --> 00:26:55.630 align:middle line:90%
It's skewed.

00:26:55.630 --> 00:26:59.680 align:middle line:84%
It has a larger sort of
tail region or region

00:26:59.680 --> 00:27:00.950 align:middle line:90%
towards the surface.

00:27:00.950 --> 00:27:03.520 align:middle line:84%
It's got the skewness to it,
and we'll talk a little bit more

00:27:03.520 --> 00:27:06.860 align:middle line:84%
about why that is and
how to model that.

00:27:06.860 --> 00:27:09.940 align:middle line:84%
So it turns out the
projected range, Rp,

00:27:09.940 --> 00:27:11.980 align:middle line:84%
and delta Rp, the
standard deviation,

00:27:11.980 --> 00:27:15.760 align:middle line:84%
of all the common dopants in
randomly oriented silicon,

00:27:15.760 --> 00:27:17.890 align:middle line:84%
so assuming the
silicon is amorphous,

00:27:17.890 --> 00:27:19.587 align:middle line:84%
and there's no
channeling going on--

00:27:19.587 --> 00:27:21.670 align:middle line:84%
we'll talk about channeling
later-- these have all

00:27:21.670 --> 00:27:23.050 align:middle line:90%
been measured experimentally.

00:27:23.050 --> 00:27:25.120 align:middle line:84%
They've also been
calculated very accurately

00:27:25.120 --> 00:27:27.890 align:middle line:90%
from first principles.

00:27:27.890 --> 00:27:29.540 align:middle line:84%
And these theoretical
calculations

00:27:29.540 --> 00:27:31.700 align:middle line:84%
can be done for
almost any combination

00:27:31.700 --> 00:27:32.750 align:middle line:90%
of ion and substrate.

00:27:32.750 --> 00:27:38.040 align:middle line:84%
So you could be ion
implanting cesium into carbon.

00:27:38.040 --> 00:27:42.410 align:middle line:84%
And if you know the basic
mass and the number of atoms

00:27:42.410 --> 00:27:47.510 align:middle line:84%
per square or cubic centimeter
in the substrate and the energy,

00:27:47.510 --> 00:27:49.220 align:middle line:84%
you can calculate
what the distribution

00:27:49.220 --> 00:27:52.095 align:middle line:84%
looks like in an
approximate sort of--

00:27:52.095 --> 00:27:53.720 align:middle line:84%
if you're assuming
you have a Gaussian.

00:27:53.720 --> 00:27:56.000 align:middle line:84%
So all of this has been
calculated and measured.

00:27:56.000 --> 00:28:00.020 align:middle line:84%
In fact, it's tabulated
in a number of books.

00:28:00.020 --> 00:28:02.440 align:middle line:90%
And it's in your textbook.

00:28:02.440 --> 00:28:05.410 align:middle line:84%
Rather than tables, what
your textbook does--

00:28:05.410 --> 00:28:08.500 align:middle line:84%
I took this directly from the
text-- it gives you plots.

00:28:08.500 --> 00:28:12.760 align:middle line:84%
So on the upper left here,
this is a plot of Rp.

00:28:12.760 --> 00:28:16.660 align:middle line:84%
So this is the depth in
microns that the ion travels.

00:28:16.660 --> 00:28:21.550 align:middle line:84%
It's the peak, Rp, as a function
of the energy of the implant

00:28:21.550 --> 00:28:22.940 align:middle line:90%
for the common dopants.

00:28:22.940 --> 00:28:23.860 align:middle line:90%
So here's boron.

00:28:23.860 --> 00:28:25.790 align:middle line:84%
Again, you can see
boron goes very far.

00:28:25.790 --> 00:28:30.340 align:middle line:84%
So if I'm at an energy, say, of
80 kilovolts, and I have boron,

00:28:30.340 --> 00:28:32.320 align:middle line:84%
the projected range
is a quarter micron.

00:28:32.320 --> 00:28:33.970 align:middle line:90%
That's 0.25.

00:28:33.970 --> 00:28:36.850 align:middle line:84%
For arsenic, at that same
voltage or that same energy,

00:28:36.850 --> 00:28:42.700 align:middle line:84%
rather, it's about 0.05
microns or about 500 angstroms.

00:28:42.700 --> 00:28:45.670 align:middle line:90%
So it's much, much shallower.

00:28:45.670 --> 00:28:47.320 align:middle line:84%
And so you can see
Rp has been tabbed,

00:28:47.320 --> 00:28:50.710 align:middle line:84%
has been is given by
these straight lines here.

00:28:50.710 --> 00:28:53.140 align:middle line:84%
And the standard
deviation, delta Rp,

00:28:53.140 --> 00:28:54.920 align:middle line:84%
as a function of
energy is also given.

00:28:54.920 --> 00:28:58.750 align:middle line:84%
So again, boron at 80
kilovolts in the lower right,

00:28:58.750 --> 00:29:01.700 align:middle line:84%
it has a standard
deviation of 0.08 microns.

00:29:01.700 --> 00:29:03.680 align:middle line:84%
So it's going to be much
broader than arsenic,

00:29:03.680 --> 00:29:06.850 align:middle line:84%
which has a standard deviation
of only 0.02 roughly.

00:29:06.850 --> 00:29:10.210 align:middle line:84%
So you can read these
right off the plot.

00:29:10.210 --> 00:29:12.010 align:middle line:84%
And if you make the
Gaussian assumption,

00:29:12.010 --> 00:29:14.980 align:middle line:84%
all you need are these plots
and a simple hand calculator,

00:29:14.980 --> 00:29:19.480 align:middle line:84%
and you could draw the
implant profile roughly

00:29:19.480 --> 00:29:25.650 align:middle line:84%
for any of these species
at a given energy.

00:29:25.650 --> 00:29:30.390 align:middle line:84%
Now, these also assume that
the substrate has been tilted

00:29:30.390 --> 00:29:31.050 align:middle line:90%
and rotated--

00:29:31.050 --> 00:29:32.250 align:middle line:84%
and we'll talk a
little bit about this--

00:29:32.250 --> 00:29:33.360 align:middle line:90%
to avoid channeling.

00:29:33.360 --> 00:29:36.390 align:middle line:84%
So this is assuming the
substrate is amorphous.

00:29:36.390 --> 00:29:39.770 align:middle line:90%


00:29:39.770 --> 00:29:42.300 align:middle line:84%
So let's go on to
slide 11 for a minute,

00:29:42.300 --> 00:29:44.465 align:middle line:84%
and let's just think
about what happens.

00:29:44.465 --> 00:29:45.590 align:middle line:90%
So that's the distribution.

00:29:45.590 --> 00:29:47.007 align:middle line:84%
Now, we want to
think a little bit

00:29:47.007 --> 00:29:50.000 align:middle line:84%
about what happens if I don't
scan the beam across the wafer.

00:29:50.000 --> 00:29:53.090 align:middle line:84%
I was saying, we take this
laser beam in a real implanter,

00:29:53.090 --> 00:29:55.700 align:middle line:84%
we're continuously
scanning it to randomize

00:29:55.700 --> 00:29:59.880 align:middle line:84%
and to implant the same dose
everywhere on the surface.

00:29:59.880 --> 00:30:05.220 align:middle line:84%
But if we just hold the ion beam
at one point, and just look--

00:30:05.220 --> 00:30:07.320 align:middle line:84%
let's look at the case
where the implant beam

00:30:07.320 --> 00:30:13.200 align:middle line:84%
is centered on a point in space,
x, y, and z, at the 0, 0, 0

00:30:13.200 --> 00:30:13.720 align:middle line:90%
position.

00:30:13.720 --> 00:30:16.140 align:middle line:84%
So if I draw axis
x going this way,

00:30:16.140 --> 00:30:19.200 align:middle line:84%
y going vertically, and
z going out of the board

00:30:19.200 --> 00:30:22.050 align:middle line:84%
or out of the page, at
the 0, 0, 0 position,

00:30:22.050 --> 00:30:25.020 align:middle line:84%
I imagine bringing in ion
beam and just holding it

00:30:25.020 --> 00:30:29.360 align:middle line:84%
there and then looking
at this cloud of ions

00:30:29.360 --> 00:30:34.075 align:middle line:84%
and where they end
up, where they stop.

00:30:34.075 --> 00:30:36.200 align:middle line:84%
And in fact, people have
done this on the computer.

00:30:36.200 --> 00:30:39.110 align:middle line:84%
It's not that hard to do a
simulation called a Monte Carlo.

00:30:39.110 --> 00:30:44.300 align:middle line:84%
Monte Carlo is just like
gambling, just like in--

00:30:44.300 --> 00:30:49.490 align:middle line:84%
you send in a certain
random distribution of ions.

00:30:49.490 --> 00:30:52.280 align:middle line:84%
They have known energy but
different impact angles,

00:30:52.280 --> 00:30:54.530 align:middle line:84%
and you simulate these
random trajectories

00:30:54.530 --> 00:30:55.550 align:middle line:90%
for a group of ions.

00:30:55.550 --> 00:30:58.550 align:middle line:84%
Maybe you could ion
implant 10,000 ions

00:30:58.550 --> 00:30:59.702 align:middle line:90%
at some spot in the wafer.

00:30:59.702 --> 00:31:01.160 align:middle line:84%
And you see where
they end up, what

00:31:01.160 --> 00:31:03.510 align:middle line:84%
their three-dimensional
distribution looks like.

00:31:03.510 --> 00:31:06.020 align:middle line:84%
So this particular
simulation is what

00:31:06.020 --> 00:31:09.800 align:middle line:84%
1,000 atoms of phosphorus that
were shot into a silicon wafer

00:31:09.800 --> 00:31:11.670 align:middle line:90%
at 35 kiloelectron volts.

00:31:11.670 --> 00:31:14.480 align:middle line:84%
And that's what the
cloud looks like.

00:31:14.480 --> 00:31:15.540 align:middle line:90%
That's where they end up.

00:31:15.540 --> 00:31:17.600 align:middle line:84%
And in fact, it's
kind of an elongated

00:31:17.600 --> 00:31:23.070 align:middle line:84%
ellipse in the x direction.
x is the implant direction,

00:31:23.070 --> 00:31:26.120 align:middle line:84%
and because a lot of
the high energy ions

00:31:26.120 --> 00:31:28.200 align:middle line:84%
undergo very small
angle collisions.

00:31:28.200 --> 00:31:30.470 align:middle line:84%
So they don't end up
going sideways very much.

00:31:30.470 --> 00:31:32.420 align:middle line:84%
They end up scattering
forward and then

00:31:32.420 --> 00:31:38.290 align:middle line:84%
eventually stopping when
they lose all their energy.

00:31:38.290 --> 00:31:41.427 align:middle line:90%
Let's go on to page 12.

00:31:41.427 --> 00:31:43.510 align:middle line:84%
Now, I'm showing some
two-dimensional projections.

00:31:43.510 --> 00:31:46.150 align:middle line:84%
What I showed before was a
three-dimensional picture

00:31:46.150 --> 00:31:48.850 align:middle line:84%
of this elongated
ellipse, this cloud

00:31:48.850 --> 00:31:50.590 align:middle line:90%
of where all the ions ended up.

00:31:50.590 --> 00:31:56.540 align:middle line:84%
Now, I'm projecting that
cloud onto the yz plane here.

00:31:56.540 --> 00:31:59.305 align:middle line:84%
So this is along
the beam direction

00:31:59.305 --> 00:32:00.430 align:middle line:90%
if you're looking straight.

00:32:00.430 --> 00:32:02.680 align:middle line:84%
The beam is coming
straight in here like this,

00:32:02.680 --> 00:32:04.150 align:middle line:90%
right in the center.

00:32:04.150 --> 00:32:06.370 align:middle line:84%
Along the beam
direction, it has sort

00:32:06.370 --> 00:32:08.950 align:middle line:84%
of a lateral distribution
that's kind of symmetric,

00:32:08.950 --> 00:32:09.805 align:middle line:90%
which makes sense.

00:32:09.805 --> 00:32:12.670 align:middle line:90%


00:32:12.670 --> 00:32:14.980 align:middle line:84%
If we look at the top
view, so looking top-down,

00:32:14.980 --> 00:32:18.470 align:middle line:84%
and the beam is coming in here
right at this point, y, in fact,

00:32:18.470 --> 00:32:19.270 align:middle line:90%
it looks--

00:32:19.270 --> 00:32:20.800 align:middle line:84%
you can see the
depth distribution.

00:32:20.800 --> 00:32:23.320 align:middle line:84%
It's kind of peaking right
around here at this point,

00:32:23.320 --> 00:32:27.140 align:middle line:84%
and then it's kind of tailing
off as you go in deeper.

00:32:27.140 --> 00:32:30.130 align:middle line:84%
So you can approximate
it by a Gaussian.

00:32:30.130 --> 00:32:33.430 align:middle line:84%
If we guessed, the center
is somewhere around here,

00:32:33.430 --> 00:32:34.570 align:middle line:90%
around 50 nanometers.

00:32:34.570 --> 00:32:35.560 align:middle line:90%
That's Rp.

00:32:35.560 --> 00:32:38.900 align:middle line:84%
And delta Rp is
about 20 nanometers.

00:32:38.900 --> 00:32:41.560 align:middle line:84%
So that's the
depth distribution.

00:32:41.560 --> 00:32:44.260 align:middle line:84%
The lateral distribution
is pretty Gaussian,

00:32:44.260 --> 00:32:46.330 align:middle line:84%
and it has a certain
straggle, what

00:32:46.330 --> 00:32:48.460 align:middle line:90%
we call delta Rp perpendicular.

00:32:48.460 --> 00:32:51.020 align:middle line:84%
That is in perpendicular
to the beam direction.

00:32:51.020 --> 00:32:52.870 align:middle line:84%
So we have two straddles
to really think

00:32:52.870 --> 00:32:56.500 align:middle line:84%
about or two
standard deviations.

00:32:56.500 --> 00:32:59.147 align:middle line:84%
There's the one in the beam
direction, so in depth,

00:32:59.147 --> 00:33:00.730 align:middle line:84%
and then there's the
one perpendicular

00:33:00.730 --> 00:33:03.928 align:middle line:90%
to that sort of in width.

00:33:03.928 --> 00:33:05.095 align:middle line:90%
That's the lateral straggle.

00:33:05.095 --> 00:33:09.110 align:middle line:90%


00:33:09.110 --> 00:33:11.450 align:middle line:84%
Now, I just showed that
to give you an example,

00:33:11.450 --> 00:33:14.720 align:middle line:84%
physically get a handle on
what's going on at a given spot.

00:33:14.720 --> 00:33:16.850 align:middle line:84%
But we don't usually
just hold the beam

00:33:16.850 --> 00:33:18.050 align:middle line:90%
on one spot of the wafer.

00:33:18.050 --> 00:33:19.760 align:middle line:90%
As I said, we usually--

00:33:19.760 --> 00:33:23.420 align:middle line:84%
what you do is you
randomly scan the beam

00:33:23.420 --> 00:33:26.090 align:middle line:90%
across the entire wafer.

00:33:26.090 --> 00:33:29.060 align:middle line:84%
If you want to mask
at given region,

00:33:29.060 --> 00:33:32.790 align:middle line:84%
you implant through
a mask into a window.

00:33:32.790 --> 00:33:35.310 align:middle line:84%
And the surrounding areas
on either side of the window

00:33:35.310 --> 00:33:37.590 align:middle line:90%
will be masked from the implant.

00:33:37.590 --> 00:33:39.870 align:middle line:84%
For example, just showing
here on the lower right,

00:33:39.870 --> 00:33:41.640 align:middle line:90%
I've imagined I put down a mask.

00:33:41.640 --> 00:33:43.800 align:middle line:90%
It could be photoresist.

00:33:43.800 --> 00:33:44.640 align:middle line:90%
It could be oxide.

00:33:44.640 --> 00:33:46.260 align:middle line:84%
Somehow, I've
patterned the mask,

00:33:46.260 --> 00:33:48.000 align:middle line:90%
and I've opened up a window.

00:33:48.000 --> 00:33:50.375 align:middle line:84%
Now, when I do the
ion implant, of course

00:33:50.375 --> 00:33:51.750 align:middle line:84%
I implant across
the whole wafer,

00:33:51.750 --> 00:33:55.200 align:middle line:84%
so I'm implanting across
everything here coming in.

00:33:55.200 --> 00:33:57.930 align:middle line:90%
But the ions stop in the mask.

00:33:57.930 --> 00:34:00.270 align:middle line:84%
The only ones that make
it into the substrate

00:34:00.270 --> 00:34:04.050 align:middle line:84%
in this particular example are
the ones that come through.

00:34:04.050 --> 00:34:10.290 align:middle line:84%
Only in this window area does
the substrate get implanted.

00:34:10.290 --> 00:34:11.772 align:middle line:84%
So in this course,
we're interested

00:34:11.772 --> 00:34:13.230 align:middle line:84%
not just in the
depth distribution,

00:34:13.230 --> 00:34:15.639 align:middle line:84%
but in the lateral
distribution of the profile.

00:34:15.639 --> 00:34:17.790 align:middle line:90%
So I care about this window.

00:34:17.790 --> 00:34:20.969 align:middle line:84%
I'm interested to know not
only how deep do the ions go,

00:34:20.969 --> 00:34:23.352 align:middle line:84%
but how do they
spread laterally.

00:34:23.352 --> 00:34:24.810 align:middle line:84%
If I'm making the
source and drain,

00:34:24.810 --> 00:34:27.630 align:middle line:84%
I care about how they spread
laterally into the channel.

00:34:27.630 --> 00:34:29.409 align:middle line:84%
That's an important
thing to note.

00:34:29.409 --> 00:34:33.850 align:middle line:84%
So in the lateral direction, of
course, measuring the profile

00:34:33.850 --> 00:34:34.400 align:middle line:90%
is hard.

00:34:34.400 --> 00:34:38.000 align:middle line:84%
We saw last time
two-dimensional profiles

00:34:38.000 --> 00:34:39.250 align:middle line:90%
are very difficult to measure.

00:34:39.250 --> 00:34:43.239 align:middle line:84%
But we actually
mathematically model them

00:34:43.239 --> 00:34:46.600 align:middle line:84%
by assuming that the
profile is composed

00:34:46.600 --> 00:34:50.730 align:middle line:84%
of a product of a vertical
and a lateral distribution.

00:34:50.730 --> 00:34:54.139 align:middle line:84%
So in terms of the
x and y, let's say

00:34:54.139 --> 00:34:57.890 align:middle line:84%
in this particular example
that the x is depth.

00:34:57.890 --> 00:35:00.110 align:middle line:84%
OK, going deep into the
wafer, into the crystal.

00:35:00.110 --> 00:35:02.690 align:middle line:84%
And the y is the
lateral dimension.

00:35:02.690 --> 00:35:08.120 align:middle line:84%
Then we can approximate the
concentration of xy distribution

00:35:08.120 --> 00:35:10.290 align:middle line:84%
as being some
vertical distribution,

00:35:10.290 --> 00:35:12.590 align:middle line:84%
be it Gaussian or
whatever we'll talk about,

00:35:12.590 --> 00:35:16.190 align:middle line:90%
times a lateral Gaussian.

00:35:16.190 --> 00:35:18.740 align:middle line:84%
You recognize this as
a Gaussian function,

00:35:18.740 --> 00:35:25.080 align:middle line:84%
e to the minus y squared over 2
delta r perpendicular squared.

00:35:25.080 --> 00:35:28.890 align:middle line:84%
OK, so it's a Gaussian with
a standard deviation, delta r

00:35:28.890 --> 00:35:33.520 align:middle line:84%
perpendicular, in the y
or the lateral direction.

00:35:33.520 --> 00:35:35.730 align:middle line:84%
So I've written over
here on the left what we

00:35:35.730 --> 00:35:37.080 align:middle line:90%
call a point response function.

00:35:37.080 --> 00:35:39.870 align:middle line:84%
If I just shoot the
beam in at one point,

00:35:39.870 --> 00:35:43.500 align:middle line:84%
you can see what
that looks like.

00:35:43.500 --> 00:35:47.450 align:middle line:84%
And when you go to do
this simulation that's

00:35:47.450 --> 00:35:49.970 align:middle line:84%
being done at SUPREM-IV,
what it's doing

00:35:49.970 --> 00:35:52.040 align:middle line:84%
is it's taking this
point response function

00:35:52.040 --> 00:35:55.160 align:middle line:84%
and then superimposing
that response function

00:35:55.160 --> 00:35:57.650 align:middle line:90%
across the whole window.

00:35:57.650 --> 00:36:00.365 align:middle line:84%
And then it can give
you, then, laterally what

00:36:00.365 --> 00:36:02.990 align:middle line:84%
the distribution looks like, not
only in the lateral direction,

00:36:02.990 --> 00:36:07.220 align:middle line:90%
but in the depth direction.

00:36:07.220 --> 00:36:08.940 align:middle line:84%
In fact, if you
do this properly,

00:36:08.940 --> 00:36:10.850 align:middle line:84%
and SUPREM-IV does
it for you, it

00:36:10.850 --> 00:36:13.490 align:middle line:84%
leads to some kind of
lateral distribution

00:36:13.490 --> 00:36:16.130 align:middle line:90%
under the mask edge.

00:36:16.130 --> 00:36:17.540 align:middle line:90%
So that's just to remind you--

00:36:17.540 --> 00:36:18.830 align:middle line:84%
I haven't told you
anything about the physics

00:36:18.830 --> 00:36:20.480 align:middle line:84%
of stopping-- just
to remind you how

00:36:20.480 --> 00:36:22.670 align:middle line:90%
these profiles vary in x and y.

00:36:22.670 --> 00:36:25.630 align:middle line:90%


00:36:25.630 --> 00:36:31.220 align:middle line:84%
So let's go on to slide
14 and think about what

00:36:31.220 --> 00:36:32.343 align:middle line:90%
happens at a mask edge.

00:36:32.343 --> 00:36:34.760 align:middle line:84%
And this is very important
because you're making a MOSFET,

00:36:34.760 --> 00:36:37.850 align:middle line:84%
because you're defining the
source and drain extensions

00:36:37.850 --> 00:36:40.040 align:middle line:90%
with some kind of mask.

00:36:40.040 --> 00:36:43.140 align:middle line:84%
Let's assume the mask is thick
enough to block the implant,

00:36:43.140 --> 00:36:45.080 align:middle line:90%
so the mask might be the gate.

00:36:45.080 --> 00:36:47.113 align:middle line:84%
You have the polysilicon
gate of the MOSFET,

00:36:47.113 --> 00:36:48.530 align:middle line:84%
and you want to
implant everywhere

00:36:48.530 --> 00:36:52.980 align:middle line:84%
around it so it blocks
the implant from hitting

00:36:52.980 --> 00:36:53.910 align:middle line:90%
the substrate.

00:36:53.910 --> 00:36:56.250 align:middle line:84%
So the lateral
profile under the mask

00:36:56.250 --> 00:36:57.840 align:middle line:84%
is going to be
determined by what

00:36:57.840 --> 00:37:00.060 align:middle line:84%
we call this delta
Rp perpendicular,

00:37:00.060 --> 00:37:02.610 align:middle line:90%
this lateral straggle.

00:37:02.610 --> 00:37:04.410 align:middle line:84%
And this is an
example of looking

00:37:04.410 --> 00:37:05.820 align:middle line:90%
at two different implants.

00:37:05.820 --> 00:37:11.490 align:middle line:84%
Here on the left, this is
a 35 keV implant of arsenic

00:37:11.490 --> 00:37:16.830 align:middle line:84%
and a 120 keV implant at
the edge of a poly gate.

00:37:16.830 --> 00:37:19.020 align:middle line:84%
So basically, over
here on the right,

00:37:19.020 --> 00:37:21.270 align:middle line:84%
see this, all these
different grains?

00:37:21.270 --> 00:37:22.740 align:middle line:84%
That's the
polycrystalline silicon.

00:37:22.740 --> 00:37:23.550 align:middle line:90%
That's the gate.

00:37:23.550 --> 00:37:26.397 align:middle line:84%
This is the gate oxide
underneath the gate.

00:37:26.397 --> 00:37:28.980 align:middle line:84%
And this is the region to the
left of the gate, which we often

00:37:28.980 --> 00:37:29.938 align:middle line:90%
think of as the source.

00:37:29.938 --> 00:37:33.300 align:middle line:84%
And you can see
this contour defines

00:37:33.300 --> 00:37:36.340 align:middle line:84%
sort of where the-- the edge
of where the arsenic ended up.

00:37:36.340 --> 00:37:38.220 align:middle line:84%
In fact, this is a
cross-section TEM,

00:37:38.220 --> 00:37:40.380 align:middle line:84%
and we showed something
like this last time.

00:37:40.380 --> 00:37:43.260 align:middle line:84%
This was done by Transmission
Electron Microscopy

00:37:43.260 --> 00:37:45.450 align:middle line:84%
with staining of
the junction area.

00:37:45.450 --> 00:37:49.230 align:middle line:84%
So they actually take the thin
TEM sample, they dip it in acid,

00:37:49.230 --> 00:37:51.880 align:middle line:84%
and the acid
preferentially etches

00:37:51.880 --> 00:37:54.910 align:middle line:84%
and makes very thin the regions
that are very heavily doped

00:37:54.910 --> 00:37:55.570 align:middle line:90%
with arsenic.

00:37:55.570 --> 00:37:59.410 align:middle line:84%
So this is how you can see, with
your eyes or with a microscope,

00:37:59.410 --> 00:38:02.540 align:middle line:84%
how you can see where
the junction ends up.

00:38:02.540 --> 00:38:04.850 align:middle line:84%
And you can see this
profile right here

00:38:04.850 --> 00:38:08.480 align:middle line:84%
underneath the mask
edge or under the gate,

00:38:08.480 --> 00:38:10.340 align:middle line:84%
this distance from
here to here is

00:38:10.340 --> 00:38:13.310 align:middle line:84%
dominated by this lateral
straggle of the implant,

00:38:13.310 --> 00:38:16.890 align:middle line:84%
depending on how much
annealing you do afterwards.

00:38:16.890 --> 00:38:19.220 align:middle line:84%
So as we decrease
the device geometry,

00:38:19.220 --> 00:38:22.370 align:middle line:84%
as we make this gate
length shorter and shorter,

00:38:22.370 --> 00:38:24.230 align:middle line:84%
the implant straggle
under the mask

00:38:24.230 --> 00:38:28.730 align:middle line:84%
becomes a more dominant
effect on determining

00:38:28.730 --> 00:38:30.620 align:middle line:90%
the actual channel length.

00:38:30.620 --> 00:38:33.345 align:middle line:84%
Knowing the lateral straggle is
an important feature of MOSFETs.

00:38:33.345 --> 00:38:35.720 align:middle line:84%
They not only determine the
channel length, but remember,

00:38:35.720 --> 00:38:39.367 align:middle line:84%
we gave examples that the
shape of that lateral profile

00:38:39.367 --> 00:38:41.450 align:middle line:84%
also determines some of
the short channel effects,

00:38:41.450 --> 00:38:43.280 align:middle line:84%
like VT roll-off and
things like that.

00:38:43.280 --> 00:38:46.650 align:middle line:90%


00:38:46.650 --> 00:38:47.820 align:middle line:90%
OK.

00:38:47.820 --> 00:38:52.200 align:middle line:84%
Again, covering some of
the more practical issues

00:38:52.200 --> 00:38:54.870 align:middle line:84%
before we talk about
the fundamental physics,

00:38:54.870 --> 00:38:58.080 align:middle line:84%
on slide 15, I've mentioned
a couple times this idea

00:38:58.080 --> 00:39:00.820 align:middle line:90%
of masking and implant.

00:39:00.820 --> 00:39:01.420 align:middle line:90%
OK?

00:39:01.420 --> 00:39:03.250 align:middle line:90%
So what do I mean about that?

00:39:03.250 --> 00:39:07.970 align:middle line:84%
And how would you calculate how
thick a mask you might need?

00:39:07.970 --> 00:39:10.780 align:middle line:84%
So this is an example
of masking an implant.

00:39:10.780 --> 00:39:13.270 align:middle line:84%
I'm doing an implant,
and again, the beam

00:39:13.270 --> 00:39:15.610 align:middle line:84%
is rastered over
the entire wafer,

00:39:15.610 --> 00:39:18.400 align:middle line:84%
but I only want to implant
certain regions, maybe only

00:39:18.400 --> 00:39:21.560 align:middle line:84%
the P-MOS regions
or N-MOS regions.

00:39:21.560 --> 00:39:24.760 align:middle line:84%
So I have to put
some photoresist

00:39:24.760 --> 00:39:25.780 align:middle line:90%
over a certain region.

00:39:25.780 --> 00:39:29.170 align:middle line:84%
And the question is, how thick
does that material have to be?

00:39:29.170 --> 00:39:32.980 align:middle line:84%
If it's for resist or if it's
nitride or silicon dioxide,

00:39:32.980 --> 00:39:35.330 align:middle line:90%
how thick does it have to be?

00:39:35.330 --> 00:39:39.010 align:middle line:84%
Well, it turns out that a dense
material, has a high density,

00:39:39.010 --> 00:39:41.080 align:middle line:84%
can be a lot thinner
than a light material,

00:39:41.080 --> 00:39:44.940 align:middle line:84%
because a light material allows
the beam to go in deeper.

00:39:44.940 --> 00:39:46.040 align:middle line:90%
So here's an example.

00:39:46.040 --> 00:39:48.260 align:middle line:84%
I'm showing you a plot
here, concentration

00:39:48.260 --> 00:39:51.110 align:middle line:84%
on the vertical axis
as a function of depth.

00:39:51.110 --> 00:39:53.910 align:middle line:84%
And let's say, this
is what it looks like.

00:39:53.910 --> 00:39:58.020 align:middle line:84%
This profile right here is what
the ion distribution looks like.

00:39:58.020 --> 00:40:01.220 align:middle line:84%
And this depth
right here marked x

00:40:01.220 --> 00:40:05.370 align:middle line:84%
sub m, that's the
thickness of the mask.

00:40:05.370 --> 00:40:07.070 align:middle line:84%
And you can see
what I've done here.

00:40:07.070 --> 00:40:08.750 align:middle line:84%
Actually, I've chosen
a mask that was

00:40:08.750 --> 00:40:10.760 align:middle line:90%
too thin sort of intentionally.

00:40:10.760 --> 00:40:12.530 align:middle line:84%
What happens is all
this distribution

00:40:12.530 --> 00:40:15.440 align:middle line:84%
got implanted into the mask,
and a little bit of its tail

00:40:15.440 --> 00:40:18.320 align:middle line:84%
right here, which is
hatched by this red hatch

00:40:18.320 --> 00:40:22.020 align:middle line:84%
region, a little bit this tail
actually got into the silicon.

00:40:22.020 --> 00:40:25.870 align:middle line:84%
Generally not desired, but
just to show you as an example.

00:40:25.870 --> 00:40:30.990 align:middle line:84%
So the concentration,
c star, at xm

00:40:30.990 --> 00:40:33.600 align:middle line:84%
gives you an idea of the
concentration that will now be

00:40:33.600 --> 00:40:35.490 align:middle line:90%
at the surface of the silicon.

00:40:35.490 --> 00:40:39.660 align:middle line:84%
And this whole dose is
what got into the silicon.

00:40:39.660 --> 00:40:43.530 align:middle line:84%
So for masking, what we do is
we calculate the concentration

00:40:43.530 --> 00:40:45.060 align:middle line:90%
profile in the mask material.

00:40:45.060 --> 00:40:47.180 align:middle line:84%
And the reason we
have the star here,

00:40:47.180 --> 00:40:48.930 align:middle line:84%
and I know that we use
star in this course

00:40:48.930 --> 00:40:50.347 align:middle line:84%
to mean a lot of
different things,

00:40:50.347 --> 00:40:52.530 align:middle line:84%
but this star means you're
in the mask material.

00:40:52.530 --> 00:40:54.420 align:middle line:84%
So whatever that
material is, you

00:40:54.420 --> 00:40:59.520 align:middle line:84%
have to use the projected
range, Rp star, of boron

00:40:59.520 --> 00:41:03.000 align:middle line:84%
in that material or the standard
deviation, delta Rp star,

00:41:03.000 --> 00:41:06.430 align:middle line:84%
of boron in that material
in this equation.

00:41:06.430 --> 00:41:08.550 align:middle line:84%
So this is just like
a regular Gaussian.

00:41:08.550 --> 00:41:12.180 align:middle line:84%
The only difference
I've done is I've

00:41:12.180 --> 00:41:17.260 align:middle line:84%
got this represented as
Rp star and delta Rp star.

00:41:17.260 --> 00:41:21.870 align:middle line:84%
So what I want is this
concentration, c star,

00:41:21.870 --> 00:41:26.140 align:middle line:84%
at this point to be less than
some background concentration,

00:41:26.140 --> 00:41:27.390 align:middle line:90%
whatever it might be.

00:41:27.390 --> 00:41:28.770 align:middle line:84%
Let's say, your
wafer is doped 10

00:41:28.770 --> 00:41:31.870 align:middle line:84%
to the 14th per
cubic centimeter.

00:41:31.870 --> 00:41:34.570 align:middle line:84%
You want to make sure
that the concentration

00:41:34.570 --> 00:41:38.500 align:middle line:84%
profile in the mask is such that
by the time that the profile

00:41:38.500 --> 00:41:41.440 align:middle line:84%
gets to the edge of the mask,
it's down below 10 of the 14

00:41:41.440 --> 00:41:42.860 align:middle line:90%
so you really can't see it.

00:41:42.860 --> 00:41:44.260 align:middle line:90%
That means you have a good mask.

00:41:44.260 --> 00:41:46.060 align:middle line:84%
You've designed it
to be thick enough.

00:41:46.060 --> 00:41:47.860 align:middle line:84%
If it's thinner,
then you get too much

00:41:47.860 --> 00:41:52.520 align:middle line:84%
of the material, of the species
is implanted into the wafer

00:41:52.520 --> 00:41:53.020 align:middle line:90%
itself.

00:41:53.020 --> 00:41:53.895 align:middle line:90%
It's not a good mask.

00:41:53.895 --> 00:41:57.260 align:middle line:90%


00:41:57.260 --> 00:41:59.710 align:middle line:90%
So let's look at slide 16.

00:41:59.710 --> 00:42:03.160 align:middle line:84%
And in fact, here what
we want to calculate is--

00:42:03.160 --> 00:42:05.230 align:middle line:84%
we'll calculate the
area of this red region.

00:42:05.230 --> 00:42:07.270 align:middle line:84%
That's the dose that
penetrated the mask

00:42:07.270 --> 00:42:11.900 align:middle line:84%
and made it into the silicon
or into the material below.

00:42:11.900 --> 00:42:16.720 align:middle line:84%
So we can actually calculate
the required mask thickness

00:42:16.720 --> 00:42:20.650 align:middle line:84%
from this equation that I
just showed back on slide 15.

00:42:20.650 --> 00:42:22.352 align:middle line:84%
I'm going to set
this concentration

00:42:22.352 --> 00:42:24.310 align:middle line:84%
equal to the background
concentration, whatever

00:42:24.310 --> 00:42:28.160 align:middle line:84%
it is in the wafer,
solve for that,

00:42:28.160 --> 00:42:30.430 align:middle line:84%
and that gives me the
mask thickness, xm,

00:42:30.430 --> 00:42:34.690 align:middle line:84%
in terms of Rp star
in the material

00:42:34.690 --> 00:42:38.350 align:middle line:84%
and the standard
deviation, delta Rp.

00:42:38.350 --> 00:42:41.110 align:middle line:84%
So basically, it says the
mask should be as thick

00:42:41.110 --> 00:42:45.700 align:middle line:84%
as Rp, obviously,
plus some multiple m

00:42:45.700 --> 00:42:48.580 align:middle line:90%
of the standard deviation.

00:42:48.580 --> 00:42:52.390 align:middle line:84%
Typically, m might be five
standard deviations of thickness

00:42:52.390 --> 00:42:55.560 align:middle line:90%
or something like that.

00:42:55.560 --> 00:42:58.340 align:middle line:84%
And so the dose that
penetrates the mask,

00:42:58.340 --> 00:42:59.990 align:middle line:84%
then, I can just
substitute that in.

00:42:59.990 --> 00:43:02.840 align:middle line:84%
All you need to do is integrate
this little red region.

00:43:02.840 --> 00:43:03.800 align:middle line:90%
It's given by this.

00:43:03.800 --> 00:43:06.075 align:middle line:84%
It turns out to be a
complementary error function.

00:43:06.075 --> 00:43:07.700 align:middle line:84%
So you can actually
figure out how much

00:43:07.700 --> 00:43:08.780 align:middle line:90%
you made in into silicon.

00:43:08.780 --> 00:43:12.180 align:middle line:84%
Generally, design the mask so
that it doesn't make it in.

00:43:12.180 --> 00:43:15.390 align:middle line:84%
And there's a calculation on
page 457 of your text, the hand

00:43:15.390 --> 00:43:18.645 align:middle line:84%
calculation of this type of
thing to give you an idea.

00:43:18.645 --> 00:43:20.910 align:middle line:84%
A lot of times, people
use hand calculations

00:43:20.910 --> 00:43:23.950 align:middle line:84%
or they use SUPREM-IV
to figure out, OK,

00:43:23.950 --> 00:43:27.150 align:middle line:84%
if I have a certain thickness,
I have a half micron of oxide,

00:43:27.150 --> 00:43:29.338 align:middle line:84%
how far is boron
going to go into that?

00:43:29.338 --> 00:43:31.380 align:middle line:84%
And is it thick enough
for me to mask my implant?

00:43:31.380 --> 00:43:35.210 align:middle line:90%


00:43:35.210 --> 00:43:37.922 align:middle line:84%
So that's masking in terms
of the vertical direction.

00:43:37.922 --> 00:43:39.380 align:middle line:84%
How about in the
lateral direction?

00:43:39.380 --> 00:43:41.390 align:middle line:84%
This is a little
bit more tricky,

00:43:41.390 --> 00:43:43.700 align:middle line:84%
and you just have to
think here intuitively.

00:43:43.700 --> 00:43:46.850 align:middle line:90%
This is on slide 17.

00:43:46.850 --> 00:43:50.420 align:middle line:84%
Implants are, by the way, rarely
done perfectly vertically.

00:43:50.420 --> 00:43:52.190 align:middle line:84%
If this is the
wafer, it's very rare

00:43:52.190 --> 00:43:53.930 align:middle line:84%
that the incoming
beam is at 90 degrees.

00:43:53.930 --> 00:43:56.840 align:middle line:84%
And we'll talk in a little
bit about why that is.

00:43:56.840 --> 00:43:59.300 align:middle line:84%
But it turns out
a lot of implants,

00:43:59.300 --> 00:44:01.820 align:middle line:84%
either for device design
reasons or whatever,

00:44:01.820 --> 00:44:05.013 align:middle line:90%
are done at some tilt angle.

00:44:05.013 --> 00:44:05.930 align:middle line:90%
The beam is like this.

00:44:05.930 --> 00:44:09.180 align:middle line:90%
You actually tilt the wafer.

00:44:09.180 --> 00:44:11.630 align:middle line:84%
And in fact, halo implants
are almost always done

00:44:11.630 --> 00:44:14.990 align:middle line:84%
at some kind of tilt. And
the reason you tilt it in

00:44:14.990 --> 00:44:18.063 align:middle line:84%
is because you want to, in
this case-- this is the gate,

00:44:18.063 --> 00:44:19.730 align:middle line:84%
and I'm trying to do
an implant, and I'm

00:44:19.730 --> 00:44:22.880 align:middle line:84%
trying to get the ions to sneak
a little bit underneath the gate

00:44:22.880 --> 00:44:24.890 align:middle line:84%
a certain distance,
and use the implant

00:44:24.890 --> 00:44:26.400 align:middle line:84%
to get the ions
underneath there.

00:44:26.400 --> 00:44:30.290 align:middle line:84%
So in that case, I'll have to
take this tilt into account

00:44:30.290 --> 00:44:31.850 align:middle line:84%
when I'm calculating
the profile.

00:44:31.850 --> 00:44:34.800 align:middle line:84%
And in fact, you can
get shadowing effects.

00:44:34.800 --> 00:44:38.960 align:middle line:84%
This is an example of a
50 KB phosphorus implant,

00:44:38.960 --> 00:44:42.450 align:middle line:84%
and this was tilted at a very
high angle, say, 30 degrees.

00:44:42.450 --> 00:44:45.080 align:middle line:84%
And this red region,
which represents

00:44:45.080 --> 00:44:48.420 align:middle line:84%
the gate, the polysilicon gate,
it ends up shadowing the beam.

00:44:48.420 --> 00:44:52.220 align:middle line:84%
So you end up with a little
space here where the shadow was,

00:44:52.220 --> 00:44:54.080 align:middle line:84%
so that did not
get ion implanted.

00:44:54.080 --> 00:44:57.710 align:middle line:84%
So if I want to reproduce a
symmetric profile on the source

00:44:57.710 --> 00:44:59.480 align:middle line:84%
side and the drain
side, I then need

00:44:59.480 --> 00:45:01.430 align:middle line:84%
to tilt the wafer the
other way and come in

00:45:01.430 --> 00:45:06.232 align:middle line:84%
at 30 degrees to the normal in
this direction for symmetry.

00:45:06.232 --> 00:45:07.690 align:middle line:84%
So if you're doing
tilted implants,

00:45:07.690 --> 00:45:10.420 align:middle line:84%
you have to think about how your
device is oriented with respect

00:45:10.420 --> 00:45:12.190 align:middle line:90%
to the tilt direction.

00:45:12.190 --> 00:45:17.915 align:middle line:84%
And maybe do some other implants
to symmetrize what's going on.

00:45:17.915 --> 00:45:19.540 align:middle line:84%
And again, that's a
geometrical effect.

00:45:19.540 --> 00:45:20.915 align:middle line:84%
It's relatively
easy to simulate.

00:45:20.915 --> 00:45:23.170 align:middle line:90%
This is a SUPREM-IV simulation.

00:45:23.170 --> 00:45:24.970 align:middle line:84%
You just have to
keep track of that.

00:45:24.970 --> 00:45:28.240 align:middle line:90%


00:45:28.240 --> 00:45:30.880 align:middle line:84%
OK, the next concept
I want to introduce

00:45:30.880 --> 00:45:33.700 align:middle line:84%
is thinking a little
bit about, how

00:45:33.700 --> 00:45:36.370 align:middle line:84%
does this Gaussian-- let's say,
you implant a Gaussian profile.

00:45:36.370 --> 00:45:38.590 align:middle line:90%
OK, here on slide 18.

00:45:38.590 --> 00:45:40.078 align:middle line:84%
How does that
profile evolve when

00:45:40.078 --> 00:45:42.620 align:middle line:84%
I'm going to have to heat the
wafer to get rid of the damage?

00:45:42.620 --> 00:45:43.703 align:middle line:90%
How is it going to evolve?

00:45:43.703 --> 00:45:46.780 align:middle line:84%
Well, we first do a very, very
simple back of the envelope

00:45:46.780 --> 00:45:50.560 align:middle line:90%
type of calculation.

00:45:50.560 --> 00:45:53.620 align:middle line:84%
And let's look at a Gaussian
implant distribution.

00:45:53.620 --> 00:45:54.580 align:middle line:90%
This is what I just--

00:45:54.580 --> 00:45:57.520 align:middle line:84%
the equation 1 in what we just
put down for a Gaussian implant.

00:45:57.520 --> 00:46:00.070 align:middle line:84%
It's characterized by
this Rp, projected range,

00:46:00.070 --> 00:46:02.620 align:middle line:84%
and a standard
deviation, delta Rp.

00:46:02.620 --> 00:46:06.190 align:middle line:84%
Now, if we go back to
a prior handout, 14,

00:46:06.190 --> 00:46:08.770 align:middle line:84%
when we were talking about
diffusion of Gaussians,

00:46:08.770 --> 00:46:11.170 align:middle line:84%
we actually wrote it like
this, the concentration

00:46:11.170 --> 00:46:12.880 align:middle line:90%
can be written in terms of.

00:46:12.880 --> 00:46:14.770 align:middle line:84%
And look at the
denominator here.

00:46:14.770 --> 00:46:19.460 align:middle line:84%
You got 4 dt in it as opposed
to 2 delta Rp squared.

00:46:19.460 --> 00:46:21.940 align:middle line:84%
So in fact, these are
both Gaussian functions.

00:46:21.940 --> 00:46:23.500 align:middle line:84%
They are mathematically
equivalent,

00:46:23.500 --> 00:46:25.930 align:middle line:84%
and I can make them
equal if I just

00:46:25.930 --> 00:46:28.250 align:middle line:84%
set delta Rp equal to
the square root of dt.

00:46:28.250 --> 00:46:31.320 align:middle line:90%


00:46:31.320 --> 00:46:35.150 align:middle line:84%
I can equalize
these two arguments.

00:46:35.150 --> 00:46:40.720 align:middle line:84%
So we can then write down an
equation, a very simple equation

00:46:40.720 --> 00:46:41.530 align:middle line:90%
for the impacts.

00:46:41.530 --> 00:46:43.900 align:middle line:84%
If I do an implant, and
you assume it's Gaussian,

00:46:43.900 --> 00:46:46.120 align:middle line:84%
and then I anneal
it in a case where

00:46:46.120 --> 00:46:47.710 align:middle line:84%
it's
non-concentration-dependent,

00:46:47.710 --> 00:46:50.290 align:middle line:84%
I expect the final profile
to remain Gaussian.

00:46:50.290 --> 00:46:53.592 align:middle line:84%
So a Gaussian remains a
Gaussian, preserves its shape

00:46:53.592 --> 00:46:54.550 align:middle line:90%
upon further annealing.

00:46:54.550 --> 00:46:55.967 align:middle line:84%
And in fact, I can
just write down

00:46:55.967 --> 00:46:59.380 align:middle line:84%
by inspection what
should happen to that.

00:46:59.380 --> 00:47:01.600 align:middle line:84%
If you start out with
this distribution here--

00:47:01.600 --> 00:47:04.390 align:middle line:84%
this is the ion
implant distribution--

00:47:04.390 --> 00:47:08.560 align:middle line:84%
what I replaced for the
argument in the denominator

00:47:08.560 --> 00:47:13.330 align:middle line:84%
of the exponential, instead
of having just this for 4 dt,

00:47:13.330 --> 00:47:15.620 align:middle line:84%
I've got a new
standard deviation,

00:47:15.620 --> 00:47:21.390 align:middle line:84%
which is delta Rp squared,
plus that essentially.

00:47:21.390 --> 00:47:24.270 align:middle line:84%
And again, where we see
the square root of dt,

00:47:24.270 --> 00:47:27.360 align:middle line:84%
you can also write that out
here in the pre-exponential

00:47:27.360 --> 00:47:32.740 align:middle line:90%
in terms of delta Rp and dt.

00:47:32.740 --> 00:47:35.530 align:middle line:84%
For the very simplest case, you
have to do a hand calculation.

00:47:35.530 --> 00:47:38.412 align:middle line:84%
We know how a Gaussian
implant profile will evolve.

00:47:38.412 --> 00:47:40.120 align:middle line:84%
We're going to go, of
course, beyond that

00:47:40.120 --> 00:47:42.830 align:middle line:84%
in the next few lectures,
talk in more detail.

00:47:42.830 --> 00:47:46.910 align:middle line:84%
Here's an example on slide
19 of just those equations.

00:47:46.910 --> 00:47:51.720 align:middle line:84%
So this is assumed to be
as implanted, the red,

00:47:51.720 --> 00:47:54.870 align:middle line:84%
assuming a very simple
Gaussian distribution

00:47:54.870 --> 00:47:57.300 align:middle line:84%
with a certain standard
deviation, delta Rp.

00:47:57.300 --> 00:47:59.310 align:middle line:84%
And after it's gone
through diffusion,

00:47:59.310 --> 00:48:03.030 align:middle line:90%
it's shown here in the blue.

00:48:03.030 --> 00:48:07.030 align:middle line:84%
The peak has dropped, and now
it has a new standard deviation,

00:48:07.030 --> 00:48:08.940 align:middle line:84%
which is delta Rp plus
the square root of dt.

00:48:08.940 --> 00:48:14.883 align:middle line:90%


00:48:14.883 --> 00:48:16.300 align:middle line:84%
So this gives us
an idea of how we

00:48:16.300 --> 00:48:19.660 align:middle line:84%
can evolve an implanted Gaussian
during a diffusion step.

00:48:19.660 --> 00:48:23.030 align:middle line:90%


00:48:23.030 --> 00:48:27.940 align:middle line:84%
So let's go on to slide 20
and talk about a real profile.

00:48:27.940 --> 00:48:31.390 align:middle line:84%
Real profiles are not
perfectly Gaussian.

00:48:31.390 --> 00:48:33.830 align:middle line:84%
In some cases, they're
more Gaussian than others,

00:48:33.830 --> 00:48:36.700 align:middle line:84%
but they're generally
more complex.

00:48:36.700 --> 00:48:40.510 align:middle line:84%
If we look at the
profile for a light ion,

00:48:40.510 --> 00:48:44.980 align:middle line:84%
and light means very
light compared to silicon,

00:48:44.980 --> 00:48:50.200 align:middle line:84%
say, boron, these light
ions tend to backscatter.

00:48:50.200 --> 00:48:53.230 align:middle line:84%
Imagine you have a big,
heavy bowling ball,

00:48:53.230 --> 00:48:55.432 align:middle line:84%
and you're throwing a
ping pong ball at it.

00:48:55.432 --> 00:48:56.140 align:middle line:90%
That's the boron.

00:48:56.140 --> 00:48:57.190 align:middle line:90%
It's a ping pong ball.

00:48:57.190 --> 00:48:59.732 align:middle line:84%
Well, a lot of those boron atoms
will ping right back, right?

00:48:59.732 --> 00:49:02.065 align:middle line:84%
A few of them will scatter
in forward, but a lot of them

00:49:02.065 --> 00:49:03.080 align:middle line:90%
can come right back.

00:49:03.080 --> 00:49:07.300 align:middle line:84%
And so you can see that if you
look at a boron distribution,

00:49:07.300 --> 00:49:10.747 align:middle line:84%
towards the surface,
it's actually skewed.

00:49:10.747 --> 00:49:12.580 align:middle line:84%
The concentration profile
is a little higher

00:49:12.580 --> 00:49:14.663 align:middle line:84%
towards the surface, as
if a lot of the boron ions

00:49:14.663 --> 00:49:17.050 align:middle line:84%
came in and just got
pinged right back.

00:49:17.050 --> 00:49:20.530 align:middle line:84%
So this blue distribution that
represents boron at 38 keV,

00:49:20.530 --> 00:49:23.160 align:middle line:90%
it's skewed towards the surface.

00:49:23.160 --> 00:49:24.870 align:middle line:84%
And it relates to the
fundamental physics

00:49:24.870 --> 00:49:25.680 align:middle line:90%
of the scattering.

00:49:25.680 --> 00:49:30.630 align:middle line:84%
Heavy ions like antimony, they
actually tend to scatter deeper.

00:49:30.630 --> 00:49:31.962 align:middle line:90%
They're heavier than silicon.

00:49:31.962 --> 00:49:33.420 align:middle line:84%
They can knock the
silicon forward,

00:49:33.420 --> 00:49:35.902 align:middle line:84%
and they themselves retain
a lot of forward momentum

00:49:35.902 --> 00:49:37.110 align:middle line:90%
because they're like a truck.

00:49:37.110 --> 00:49:39.555 align:middle line:84%
If the truck hits
a little Subaru,

00:49:39.555 --> 00:49:41.430 align:middle line:84%
kind of tends to go
right through the Subaru.

00:49:41.430 --> 00:49:45.870 align:middle line:84%
So the heavy ions like antimony
have this skewed-- or skew

00:49:45.870 --> 00:49:48.923 align:middle line:90%
deeper into the substrate.

00:49:48.923 --> 00:49:50.840 align:middle line:84%
The interesting thing
about these two protons,

00:49:50.840 --> 00:49:53.610 align:middle line:90%
so this is antimony at 360 keV.

00:49:53.610 --> 00:49:56.825 align:middle line:84%
So we adjusted the energy to
give them the same projected

00:49:56.825 --> 00:49:58.950 align:middle line:84%
range, so you notice they
peaked at the same point.

00:49:58.950 --> 00:50:03.690 align:middle line:84%
38 keV peaks at the same
point as 360 keV antimony,

00:50:03.690 --> 00:50:07.550 align:middle line:84%
but they have very
different skewness.

00:50:07.550 --> 00:50:10.387 align:middle line:84%
A Gaussian distribution by
definition is not skewed, right?

00:50:10.387 --> 00:50:12.470 align:middle line:84%
A Gaussian, by definition,
is perfectly symmetric.

00:50:12.470 --> 00:50:14.060 align:middle line:90%
That's what the equation says.

00:50:14.060 --> 00:50:15.980 align:middle line:84%
So if we're going
to represent this,

00:50:15.980 --> 00:50:17.780 align:middle line:84%
we need a little
more complicated

00:50:17.780 --> 00:50:19.970 align:middle line:84%
mathematical function
than a Gaussian.

00:50:19.970 --> 00:50:25.230 align:middle line:84%
And we'll talk a little bit
about that type of function.

00:50:25.230 --> 00:50:28.760 align:middle line:84%
So here's an example
just on slide 21

00:50:28.760 --> 00:50:32.670 align:middle line:84%
of some different
energy boron implants.

00:50:32.670 --> 00:50:36.680 align:middle line:84%
So I have concentration
of boron versus depth.

00:50:36.680 --> 00:50:38.600 align:middle line:90%
And here's a 50 keV implant.

00:50:38.600 --> 00:50:40.700 align:middle line:84%
Interestingly, it looks
pretty symmetrical.

00:50:40.700 --> 00:50:41.900 align:middle line:90%
It's fairly Gaussian.

00:50:41.900 --> 00:50:43.010 align:middle line:90%
100 keV.

00:50:43.010 --> 00:50:45.650 align:middle line:84%
But as I'm going to higher
and higher energies,

00:50:45.650 --> 00:50:48.320 align:middle line:84%
it's becoming less
and less symmetrical.

00:50:48.320 --> 00:50:52.730 align:middle line:84%
So just looking at this black
curve right here at 500 keV,

00:50:52.730 --> 00:50:54.980 align:middle line:84%
look how skewed that
is towards the surface.

00:50:54.980 --> 00:50:57.563 align:middle line:84%
Whereas, if I had used
the Gaussian approximation

00:50:57.563 --> 00:50:59.480 align:middle line:84%
that you can do with a
simple hand calculator,

00:50:59.480 --> 00:51:00.897 align:middle line:84%
this dashed line
is what you would

00:51:00.897 --> 00:51:02.580 align:middle line:90%
have gotten for the profile.

00:51:02.580 --> 00:51:04.542 align:middle line:84%
So the Gaussian is
somewhat accurate.

00:51:04.542 --> 00:51:06.500 align:middle line:84%
It gives you a rough idea
of where the peak is,

00:51:06.500 --> 00:51:09.680 align:middle line:84%
but it doesn't represent
this forward scattering

00:51:09.680 --> 00:51:11.180 align:middle line:90%
of the skewness.

00:51:11.180 --> 00:51:14.090 align:middle line:84%
In fact, these
black profiles are

00:51:14.090 --> 00:51:17.750 align:middle line:84%
called something called
Pearson IV distributions.

00:51:17.750 --> 00:51:19.760 align:middle line:84%
Those are the solid
lines in that plot.

00:51:19.760 --> 00:51:21.590 align:middle line:84%
And Pearson IV is one
of the most popular.

00:51:21.590 --> 00:51:23.060 align:middle line:90%
It's a statistical function.

00:51:23.060 --> 00:51:25.920 align:middle line:84%
It's one of the most
popular types of profiles

00:51:25.920 --> 00:51:29.880 align:middle line:84%
to use to accurately
represent distributions,

00:51:29.880 --> 00:51:33.390 align:middle line:84%
range distributions for
ion-implanted atoms in silicon.

00:51:33.390 --> 00:51:34.890 align:middle line:90%
They work really well.

00:51:34.890 --> 00:51:36.900 align:middle line:84%
Pearson IV works
really well as long,

00:51:36.900 --> 00:51:39.390 align:middle line:84%
as you don't have
ion channeling.

00:51:39.390 --> 00:51:42.210 align:middle line:84%
It does an excellent job of
describing the ion implant

00:51:42.210 --> 00:51:42.990 align:middle line:90%
profiles.

00:51:42.990 --> 00:51:46.350 align:middle line:84%
As the name suggests, Pearson
IV needs four variables.

00:51:46.350 --> 00:51:49.710 align:middle line:84%
It has four moments,
so to speak.

00:51:49.710 --> 00:51:52.025 align:middle line:84%
Gaussian only has two,
so naturally the Gaussian

00:51:52.025 --> 00:51:52.650 align:middle line:90%
is more simple.

00:51:52.650 --> 00:51:55.760 align:middle line:90%


00:51:55.760 --> 00:52:00.910 align:middle line:84%
In fact, on slide 22, just
reminding you or introducing you

00:52:00.910 --> 00:52:05.530 align:middle line:84%
to the idea that an arbitrary
statistical distribution

00:52:05.530 --> 00:52:08.590 align:middle line:84%
can be described by
a series of moments.

00:52:08.590 --> 00:52:10.660 align:middle line:84%
And here are the
first four moments

00:52:10.660 --> 00:52:12.840 align:middle line:90%
of an arbitrary distribution.

00:52:12.840 --> 00:52:14.590 align:middle line:84%
The first two, we've
already talked about.

00:52:14.590 --> 00:52:17.920 align:middle line:84%
The first moment is called
the projected range, Rp.

00:52:17.920 --> 00:52:22.510 align:middle line:84%
And mathematically, you can
derive it or calculate it by--

00:52:22.510 --> 00:52:24.490 align:middle line:84%
it's the first moment,
so it's the integral

00:52:24.490 --> 00:52:29.470 align:middle line:84%
over all space of x of x times
the concentration, c, of x.

00:52:29.470 --> 00:52:31.240 align:middle line:84%
So you take the
weighted integral,

00:52:31.240 --> 00:52:34.508 align:middle line:84%
and that is the
definition of Rp.

00:52:34.508 --> 00:52:36.550 align:middle line:84%
You may have seen some of
these types of concepts

00:52:36.550 --> 00:52:38.710 align:middle line:84%
in statistical or
statistics classes.

00:52:38.710 --> 00:52:41.260 align:middle line:84%
The standard deviation
is the second moment.

00:52:41.260 --> 00:52:45.160 align:middle line:84%
It's actually the integral
of x minus Rp quantity

00:52:45.160 --> 00:52:50.440 align:middle line:84%
squared times the constant
concentration, that whole thing

00:52:50.440 --> 00:52:52.420 align:middle line:90%
divided by the integrated dose.

00:52:52.420 --> 00:52:54.400 align:middle line:84%
Remember, the
integrated dose, q.

00:52:54.400 --> 00:52:58.520 align:middle line:84%
Just remember that q here
is equal to the integral

00:52:58.520 --> 00:53:00.230 align:middle line:90%
of the concentration--

00:53:00.230 --> 00:53:02.300 align:middle line:90%
overall space, dx.

00:53:02.300 --> 00:53:03.770 align:middle line:84%
So you're always
normalizing this.

00:53:03.770 --> 00:53:06.470 align:middle line:90%


00:53:06.470 --> 00:53:08.220 align:middle line:84%
So the first moment
and the second moment,

00:53:08.220 --> 00:53:11.380 align:middle line:84%
they're used, of course, in
the Gaussian distribution.

00:53:11.380 --> 00:53:15.060 align:middle line:84%
The third and fourth moments
are used in the Pearson IV.

00:53:15.060 --> 00:53:16.350 align:middle line:90%
One is called the skewness.

00:53:16.350 --> 00:53:19.800 align:middle line:84%
Again, that's x minus Rp
cubed, the weighted integral

00:53:19.800 --> 00:53:23.910 align:middle line:84%
of that, divided by q
times delta Rp cubed.

00:53:23.910 --> 00:53:27.210 align:middle line:84%
And the kurtosis is defined
in terms of the fourth--

00:53:27.210 --> 00:53:30.330 align:middle line:84%
the x minus Rp to
the fourth power.

00:53:30.330 --> 00:53:33.930 align:middle line:84%
And this skewness and kurtosis,
as they've been defined here,

00:53:33.930 --> 00:53:36.900 align:middle line:84%
they're actually gamma and
beta are dimensionless,

00:53:36.900 --> 00:53:40.650 align:middle line:84%
because you notice we're
dividing by delta Rp cubed here

00:53:40.650 --> 00:53:42.150 align:middle line:90%
and delta Rp to the fourth.

00:53:42.150 --> 00:53:46.140 align:middle line:90%


00:53:46.140 --> 00:53:47.850 align:middle line:84%
Just so you know, if
you run SUPREM-IV,

00:53:47.850 --> 00:53:49.180 align:middle line:90%
you won't have to do it.

00:53:49.180 --> 00:53:50.910 align:middle line:84%
But if you were stuck
on a desert island,

00:53:50.910 --> 00:53:54.180 align:middle line:84%
and all you had was an HP
calculator, you could actually--

00:53:54.180 --> 00:53:55.650 align:middle line:84%
and your life
depended on it-- you

00:53:55.650 --> 00:53:58.920 align:middle line:84%
could actually calculate
the Pearson IV distribution

00:53:58.920 --> 00:54:03.000 align:middle line:84%
from the simple
differential equation.

00:54:03.000 --> 00:54:04.680 align:middle line:90%
It's the solution f.

00:54:04.680 --> 00:54:07.960 align:middle line:84%
The Pearson IV is a solution f
to this differential equation.

00:54:07.960 --> 00:54:09.660 align:middle line:84%
So the differential
equation says

00:54:09.660 --> 00:54:16.890 align:middle line:84%
df by dxn, where xn is this
variable here, x minus Rp,

00:54:16.890 --> 00:54:19.020 align:middle line:84%
is equal to this
function over here,

00:54:19.020 --> 00:54:22.080 align:middle line:84%
is equal to xn minus a
quantity times f divided

00:54:22.080 --> 00:54:25.770 align:middle line:90%
by this polynomial.

00:54:25.770 --> 00:54:28.490 align:middle line:84%
So it turns out this
differential equation

00:54:28.490 --> 00:54:33.770 align:middle line:84%
can be resolved relatively
simply using a numerical method

00:54:33.770 --> 00:54:37.430 align:middle line:84%
if you know these moments,
so if these numbers, a,

00:54:37.430 --> 00:54:39.530 align:middle line:90%
b0, b1, and b2.

00:54:39.530 --> 00:54:42.980 align:middle line:84%
And each one of these
variables, like a, a

00:54:42.980 --> 00:54:47.780 align:middle line:84%
is defined in terms of the
skewness, the kurtosis,

00:54:47.780 --> 00:54:51.650 align:middle line:84%
and of course, delta Rp,
the standard deviation.

00:54:51.650 --> 00:54:54.030 align:middle line:90%
b is related, as shown here.

00:54:54.030 --> 00:54:56.180 align:middle line:84%
So all these
constants are defined

00:54:56.180 --> 00:55:00.100 align:middle line:84%
in terms of the moments
of the Pearson IV.

00:55:00.100 --> 00:55:03.970 align:middle line:84%
It turns out that if
the skewness, gamma,

00:55:03.970 --> 00:55:06.730 align:middle line:84%
for most dopants in
silicon, you can actually

00:55:06.730 --> 00:55:09.400 align:middle line:84%
estimate the kurtosis,
beta, from the simple little

00:55:09.400 --> 00:55:10.490 align:middle line:90%
analytical formula.

00:55:10.490 --> 00:55:12.650 align:middle line:84%
So in fact, they're
related this way.

00:55:12.650 --> 00:55:14.440 align:middle line:84%
So really, for most
dopants, there's

00:55:14.440 --> 00:55:19.690 align:middle line:84%
only three independent moments,
Rp, delta Rp, and beta--

00:55:19.690 --> 00:55:24.780 align:middle line:84%
and gamma, because you can
calculate beta from gamma.

00:55:24.780 --> 00:55:26.310 align:middle line:84%
If you just look
at this equation

00:55:26.310 --> 00:55:28.810 align:middle line:84%
just for a moment-- you don't
to solve it-- but just looking

00:55:28.810 --> 00:55:31.620 align:middle line:84%
at it, what are some
properties of this function?

00:55:31.620 --> 00:55:34.030 align:middle line:84%
Well, the peak, where
does the peak occur?

00:55:34.030 --> 00:55:36.810 align:middle line:84%
Well, the peak occurs wherever
a function is set equal to 0.

00:55:36.810 --> 00:55:40.410 align:middle line:84%
So the peak occurs where
this-- or the derivative

00:55:40.410 --> 00:55:43.200 align:middle line:90%
of the function is 0.

00:55:43.200 --> 00:55:49.860 align:middle line:84%
So it actually occurs at xn
minus a, which is Rp plus a.

00:55:49.860 --> 00:55:52.260 align:middle line:84%
So it doesn't occur
directly at Rp.

00:55:52.260 --> 00:55:54.660 align:middle line:84%
Unlike the Gaussian,
the peak of this

00:55:54.660 --> 00:55:58.500 align:middle line:84%
occurs just slightly to the
left or the right of Rp.

00:55:58.500 --> 00:56:04.680 align:middle line:84%
So when the skewness,
gamma, is 0--

00:56:04.680 --> 00:56:08.670 align:middle line:84%
so when gamma is 0, f
simplifies to a Gaussian.

00:56:08.670 --> 00:56:11.533 align:middle line:84%
So if I just take
this and a goes to 0,

00:56:11.533 --> 00:56:13.200 align:middle line:84%
then I'm going to get
a simple Gaussian.

00:56:13.200 --> 00:56:14.250 align:middle line:90%
There's no skewness.

00:56:14.250 --> 00:56:17.190 align:middle line:84%
If the skewness is negative,
so gamma is negative,

00:56:17.190 --> 00:56:21.520 align:middle line:84%
like in the case of boron,
a is going to be positive.

00:56:21.520 --> 00:56:24.900 align:middle line:84%
So if gamma is negative,
a positive quantity,

00:56:24.900 --> 00:56:28.050 align:middle line:84%
and the peak of the distribution
occurs deeper than Rp.

00:56:28.050 --> 00:56:30.750 align:middle line:84%
So for boron, if you're
careful about calculating it

00:56:30.750 --> 00:56:34.110 align:middle line:84%
in Pearson IV, the peak will
just be slightly deeper than Rp.

00:56:34.110 --> 00:56:35.640 align:middle line:90%
It'll be Rp plus a.

00:56:35.640 --> 00:56:37.980 align:middle line:84%
When the skewness is
positive, like for arsenic,

00:56:37.980 --> 00:56:39.780 align:middle line:84%
a heavy atom like
arsenic or antimony,

00:56:39.780 --> 00:56:43.800 align:middle line:84%
the peak is going to be
slightly shallower than Rp.

00:56:43.800 --> 00:56:47.790 align:middle line:84%
So again, slightly more
sophisticated than a Gaussian

00:56:47.790 --> 00:56:49.830 align:middle line:90%
is the Pearson IV.

00:56:49.830 --> 00:56:53.980 align:middle line:84%
And that's how it's actually
calculated by the computer.

00:56:53.980 --> 00:56:56.160 align:middle line:84%
So these four moments that
we've been talking about,

00:56:56.160 --> 00:56:58.050 align:middle line:90%
they've actually been tabulated.

00:56:58.050 --> 00:57:00.900 align:middle line:84%
I took this particular
table I copied out

00:57:00.900 --> 00:57:06.000 align:middle line:84%
of a 1980 book edited by
Gibbons on ion implantation.

00:57:06.000 --> 00:57:09.480 align:middle line:84%
And it's just showing
as a function of energy

00:57:09.480 --> 00:57:13.620 align:middle line:84%
and a couple different energies,
20 50, 100, and 200 keV.

00:57:13.620 --> 00:57:17.670 align:middle line:84%
For three common dopants, it's
showing Rp, sigma p-- now,

00:57:17.670 --> 00:57:19.200 align:middle line:90%
sigma p is the same as delta Rp.

00:57:19.200 --> 00:57:21.240 align:middle line:90%
It's just a different notation--

00:57:21.240 --> 00:57:26.460 align:middle line:84%
the skewness, gamma, and
sigma p perpendicular,

00:57:26.460 --> 00:57:29.160 align:middle line:90%
or delta Rp perpendicular.

00:57:29.160 --> 00:57:32.430 align:middle line:84%
So just looking at boron, again,
its skewness is negative, right?

00:57:32.430 --> 00:57:34.750 align:middle line:84%
All of these gamma
numbers are negative.

00:57:34.750 --> 00:57:37.630 align:middle line:84%
That's why it's skewed
towards the surface.

00:57:37.630 --> 00:57:40.200 align:middle line:84%
And so you can look up
in tables like this,

00:57:40.200 --> 00:57:41.700 align:middle line:84%
and if you have
your calculator, you

00:57:41.700 --> 00:57:44.190 align:middle line:84%
can do the Pearson
IV equation, and you

00:57:44.190 --> 00:57:48.345 align:middle line:84%
can calculate what the
profile should look like.

00:57:48.345 --> 00:57:51.560 align:middle line:90%


00:57:51.560 --> 00:57:53.660 align:middle line:84%
OK, so that gives
you some idea of how

00:57:53.660 --> 00:57:56.180 align:middle line:90%
engineers use these numbers.

00:57:56.180 --> 00:57:59.810 align:middle line:84%
Now, let's go on to
slide 25, and let's talk

00:57:59.810 --> 00:58:02.283 align:middle line:90%
about implants in real silicon.

00:58:02.283 --> 00:58:03.700 align:middle line:84%
Well, to be a
little more careful,

00:58:03.700 --> 00:58:05.410 align:middle line:84%
real silicon is
single crystal, right?

00:58:05.410 --> 00:58:08.050 align:middle line:84%
We know it has the
diamond cubic structure,

00:58:08.050 --> 00:58:11.410 align:middle line:84%
and it has a regularity
to its structure.

00:58:11.410 --> 00:58:14.672 align:middle line:84%
And in fact, I'm hoping not
to make anybody car sick here.

00:58:14.672 --> 00:58:16.630 align:middle line:84%
But be careful, don't
shake your head too fast.

00:58:16.630 --> 00:58:21.220 align:middle line:84%
But this is a picture
of looking down

00:58:21.220 --> 00:58:24.940 align:middle line:84%
the 1,1,0 direction, the axial
channels in crystalline silicon.

00:58:24.940 --> 00:58:26.600 align:middle line:90%
What do you see in this picture?

00:58:26.600 --> 00:58:31.090 align:middle line:84%
What you see, well, you see a
very regular pattern of atoms,

00:58:31.090 --> 00:58:35.410 align:middle line:84%
and you see big openings,
wide open spaces where there

00:58:35.410 --> 00:58:39.010 align:middle line:84%
aren't-- where the atoms at the
surface block the atoms below.

00:58:39.010 --> 00:58:42.740 align:middle line:84%
So you can imagine being an
ion going down this crystal.

00:58:42.740 --> 00:58:46.270 align:middle line:84%
And if you're aligned, if
your energy or your momentum

00:58:46.270 --> 00:58:48.730 align:middle line:84%
is aligned just in
the right direction,

00:58:48.730 --> 00:58:52.390 align:middle line:84%
you can channel right down
some of those channels.

00:58:52.390 --> 00:58:54.220 align:middle line:84%
And you can imagine
going down there

00:58:54.220 --> 00:58:57.160 align:middle line:84%
without losing much
energy, without banging

00:58:57.160 --> 00:59:01.100 align:middle line:84%
into a lot of the silicon atoms
because of this regular crystal

00:59:01.100 --> 00:59:01.600 align:middle line:90%
structure.

00:59:01.600 --> 00:59:04.190 align:middle line:84%
And in fact, this is a
two-dimensional representation,

00:59:04.190 --> 00:59:06.470 align:middle line:84%
a cartoon up here of
what I'm talking about.

00:59:06.470 --> 00:59:08.700 align:middle line:84%
Imagine these red
atoms are silicon.

00:59:08.700 --> 00:59:11.810 align:middle line:84%
They're all lined up in a
row, and my incoming ion

00:59:11.810 --> 00:59:14.150 align:middle line:84%
comes in just pointing
down that channel.

00:59:14.150 --> 00:59:16.940 align:middle line:84%
It can just barely skim
the edges of the channel,

00:59:16.940 --> 00:59:19.730 align:middle line:84%
have very few small
angle collisions,

00:59:19.730 --> 00:59:23.640 align:middle line:84%
and be steered a long
way before it stops.

00:59:23.640 --> 00:59:26.250 align:middle line:84%
That's very, very different than
going into a random material

00:59:26.250 --> 00:59:29.400 align:middle line:84%
where there are silicon
atoms all over this page.

00:59:29.400 --> 00:59:32.220 align:middle line:84%
So ion channeling, because the
material is single crystal,

00:59:32.220 --> 00:59:34.890 align:middle line:84%
is really going to complicate
all those equations

00:59:34.890 --> 00:59:37.727 align:middle line:84%
I just talked about, the
Gaussian, Pearson IV.

00:59:37.727 --> 00:59:39.810 align:middle line:84%
They're all assuming that
the atoms of the crystal

00:59:39.810 --> 00:59:41.460 align:middle line:90%
were randomly oriented.

00:59:41.460 --> 00:59:44.040 align:middle line:84%
They didn't say anything
about going down a channel.

00:59:44.040 --> 00:59:46.560 align:middle line:84%
The physics of
channeling is quite a bit

00:59:46.560 --> 00:59:50.500 align:middle line:84%
different from what we've
just been talking about.

00:59:50.500 --> 00:59:52.980 align:middle line:90%
So channeling is good and bad.

00:59:52.980 --> 00:59:56.190 align:middle line:84%
Mostly, it's bad
because it can produce

00:59:56.190 --> 00:59:58.360 align:middle line:90%
some really unexpected results.

00:59:58.360 --> 01:00:02.250 align:middle line:84%
As you can imagine, if
this is your crystal,

01:00:02.250 --> 01:00:04.780 align:middle line:84%
and you're looking down
the 1,0,0 channel axis--

01:00:04.780 --> 01:00:06.750 align:middle line:84%
so these are all
the open spaces.

01:00:06.750 --> 01:00:09.810 align:middle line:84%
If you happen to be aligned,
the beam, right to that axis,

01:00:09.810 --> 01:00:12.270 align:middle line:84%
you can get profiles that
go a lot deeper than you

01:00:12.270 --> 01:00:14.230 align:middle line:90%
would have expected.

01:00:14.230 --> 01:00:17.490 align:middle line:84%
So this is an example of
implanting phosphorus at 40 keV

01:00:17.490 --> 01:00:19.060 align:middle line:90%
into silicon.

01:00:19.060 --> 01:00:22.210 align:middle line:84%
And here's the
concentration of phosphorus

01:00:22.210 --> 01:00:24.160 align:middle line:90%
as a function of depth.

01:00:24.160 --> 01:00:25.840 align:middle line:84%
And in fact, looking
at different doses,

01:00:25.840 --> 01:00:28.930 align:middle line:84%
the very low dose here is
about 1 times 10 to the 13th.

01:00:28.930 --> 01:00:32.678 align:middle line:84%
Look how deep the phosphorus
went, all the way down to--

01:00:32.678 --> 01:00:33.220 align:middle line:90%
I don't know.

01:00:33.220 --> 01:00:34.460 align:middle line:90%
It's got the shoulder here.

01:00:34.460 --> 01:00:37.810 align:middle line:84%
Goes down to about
0.6 or 0.8 microns.

01:00:37.810 --> 01:00:40.120 align:middle line:84%
As we go higher in
dose, notice this.

01:00:40.120 --> 01:00:42.730 align:middle line:84%
The very highest dose
7 times 10 to the 14th,

01:00:42.730 --> 01:00:46.130 align:middle line:84%
you don't see that
channeling tail.

01:00:46.130 --> 01:00:47.150 align:middle line:90%
Why would that be?

01:00:47.150 --> 01:00:50.150 align:middle line:84%
Does anybody have any idea
why this very high dose

01:00:50.150 --> 01:00:53.930 align:middle line:84%
implant didn't go in real
deeply, whereas the low dose

01:00:53.930 --> 01:00:54.470 align:middle line:90%
one did?

01:00:54.470 --> 01:01:02.820 align:middle line:90%


01:01:02.820 --> 01:01:03.960 align:middle line:90%
[INAUDIBLE]

01:01:03.960 --> 01:01:10.890 align:middle line:90%


01:01:10.890 --> 01:01:11.400 align:middle line:90%
OK.

01:01:11.400 --> 01:01:13.240 align:middle line:84%
So you have a high
dose is coming in.

01:01:13.240 --> 01:01:15.930 align:middle line:84%
So what is that dose going to do
to that beautiful crystal, all

01:01:15.930 --> 01:01:17.130 align:middle line:90%
those beautiful channels?

01:01:17.130 --> 01:01:18.760 align:middle line:90%
Smash them up.

01:01:18.760 --> 01:01:20.370 align:middle line:84%
Basically, just
imagine taking that,

01:01:20.370 --> 01:01:22.620 align:middle line:84%
just throwing a bunch of
baseballs at that thing.

01:01:22.620 --> 01:01:25.080 align:middle line:84%
And pretty soon after you've
thrown enough baseballs,

01:01:25.080 --> 01:01:26.700 align:middle line:84%
that perfectly
nice-looking channel,

01:01:26.700 --> 01:01:28.200 align:middle line:84%
there's a whole
bunch of atoms in it

01:01:28.200 --> 01:01:30.450 align:middle line:84%
because you completely
randomized the crystal.

01:01:30.450 --> 01:01:32.940 align:middle line:90%
And that's called amorphization.

01:01:32.940 --> 01:01:36.150 align:middle line:84%
So when you put in enough dose,
you throw enough baseballs

01:01:36.150 --> 01:01:37.990 align:middle line:84%
at this thing that
you randomly-- now,

01:01:37.990 --> 01:01:39.990 align:middle line:84%
instead of having a
beautiful crystal structure,

01:01:39.990 --> 01:01:41.730 align:middle line:84%
the silicon is
completely amorphous.

01:01:41.730 --> 01:01:43.860 align:middle line:90%
There is no structure left.

01:01:43.860 --> 01:01:46.950 align:middle line:84%
Then you are going in,
and now this implant

01:01:46.950 --> 01:01:48.540 align:middle line:84%
was essentially
done, most of it,

01:01:48.540 --> 01:01:50.332 align:middle line:84%
into a material that
didn't look like this.

01:01:50.332 --> 01:01:52.080 align:middle line:84%
It just looks like
an amorphous mess.

01:01:52.080 --> 01:01:54.540 align:middle line:84%
And that's why you don't
get this channeling tail.

01:01:54.540 --> 01:01:56.610 align:middle line:84%
This implant was
such a low dose,

01:01:56.610 --> 01:01:59.040 align:middle line:84%
it barely did damage
the crystal at all.

01:01:59.040 --> 01:02:01.600 align:middle line:84%
The crystal maintained
its nice structure,

01:02:01.600 --> 01:02:07.870 align:middle line:84%
and so the ions were able to
channel in and go very deeply.

01:02:07.870 --> 01:02:10.020 align:middle line:84%
So this is bad
because it turns out

01:02:10.020 --> 01:02:12.240 align:middle line:84%
it's very hard to control
what this tail looks like.

01:02:12.240 --> 01:02:15.010 align:middle line:84%
And a lot of times, you don't
want such a deep profile.

01:02:15.010 --> 01:02:16.950 align:middle line:84%
So in fact, in this
case, channeling

01:02:16.950 --> 01:02:18.705 align:middle line:84%
is viewed as something
one wants to avoid.

01:02:18.705 --> 01:02:21.570 align:middle line:90%


01:02:21.570 --> 01:02:24.780 align:middle line:84%
Actually on page 28,
here's another example,

01:02:24.780 --> 01:02:27.390 align:middle line:90%
just as we just saw, of boron.

01:02:27.390 --> 01:02:30.150 align:middle line:84%
Boron is a famous ion for
doing a lot of channeling.

01:02:30.150 --> 01:02:32.760 align:middle line:84%
It tends to be
steered very easily.

01:02:32.760 --> 01:02:38.130 align:middle line:84%
One problem with ion channeling
is that the profile shapes

01:02:38.130 --> 01:02:41.190 align:middle line:84%
don't scale with those because,
again, a low dose doesn't

01:02:41.190 --> 01:02:42.750 align:middle line:90%
damage the profile much.

01:02:42.750 --> 01:02:47.710 align:middle line:84%
A high dose here, like
2E15, does a lot of damage.

01:02:47.710 --> 01:02:51.270 align:middle line:84%
And so this green
profile is not simply

01:02:51.270 --> 01:02:54.900 align:middle line:84%
equal to the 2E13
profile, bumped up

01:02:54.900 --> 01:02:56.763 align:middle line:90%
by 2 orders of magnitude.

01:02:56.763 --> 01:02:58.180 align:middle line:84%
That's what you
think it would be.

01:02:58.180 --> 01:03:00.240 align:middle line:84%
But in fact, it's
got a different shape

01:03:00.240 --> 01:03:01.843 align:middle line:84%
because as you were
doing the implant,

01:03:01.843 --> 01:03:03.510 align:middle line:84%
you're doing a certain
amount of damage,

01:03:03.510 --> 01:03:05.820 align:middle line:84%
and you're changing
the appearance

01:03:05.820 --> 01:03:07.920 align:middle line:90%
of the crystal and channels.

01:03:07.920 --> 01:03:10.130 align:middle line:84%
So there's all kinds
of issues when you're

01:03:10.130 --> 01:03:14.230 align:middle line:90%
trying to model ion channeling.

01:03:14.230 --> 01:03:16.535 align:middle line:84%
Page 28 actually has a
little bit more information

01:03:16.535 --> 01:03:17.410 align:middle line:90%
about ion channeling.

01:03:17.410 --> 01:03:19.120 align:middle line:84%
There is something
in ion channeling

01:03:19.120 --> 01:03:20.770 align:middle line:90%
called the critical angle.

01:03:20.770 --> 01:03:22.670 align:middle line:90%
What is the critical angle, psi?

01:03:22.670 --> 01:03:24.730 align:middle line:90%
Well, it's the maximum angle.

01:03:24.730 --> 01:03:28.330 align:middle line:84%
It's the largest angle of the
incoming beam with respect

01:03:28.330 --> 01:03:32.050 align:middle line:84%
to the axis of the channel
before the steering

01:03:32.050 --> 01:03:34.220 align:middle line:90%
action of the row is lost.

01:03:34.220 --> 01:03:37.060 align:middle line:84%
So at this angle, you
can just barely come in

01:03:37.060 --> 01:03:40.130 align:middle line:84%
and be steered and go in
and out and in and out.

01:03:40.130 --> 01:03:42.130 align:middle line:84%
And if you have a slightly
higher angle, what's

01:03:42.130 --> 01:03:44.213 align:middle line:84%
going to happen is you're
going to get knocked out

01:03:44.213 --> 01:03:45.127 align:middle line:90%
of the channel.

01:03:45.127 --> 01:03:46.960 align:middle line:84%
So that critical angle
is important to know.

01:03:46.960 --> 01:03:49.750 align:middle line:84%
It tells you how well does
the beam have to be aligned

01:03:49.750 --> 01:03:54.570 align:middle line:84%
to the channel to be sure that
you get this channeling effect.

01:03:54.570 --> 01:03:57.240 align:middle line:84%
And psi, see here what's
called the critical angle,

01:03:57.240 --> 01:04:00.620 align:middle line:84%
in fact the reference above
has a little bit of information

01:04:00.620 --> 01:04:01.860 align:middle line:90%
on how to calculate it.

01:04:01.860 --> 01:04:05.270 align:middle line:84%
And these are some examples
of critical angles.

01:04:05.270 --> 01:04:09.350 align:middle line:84%
Say, along the 1,1,0 direction
for boron is 3 degrees.

01:04:09.350 --> 01:04:11.840 align:middle line:90%
Arsenic is about 4.4.

01:04:11.840 --> 01:04:14.840 align:middle line:84%
So it gives you an idea,
if this is my crystal

01:04:14.840 --> 01:04:17.170 align:middle line:84%
and I'm coming in,
well, if I'm within 3

01:04:17.170 --> 01:04:19.520 align:middle line:84%
or 4 degrees of
that axis, I'm going

01:04:19.520 --> 01:04:21.890 align:middle line:90%
to get a lot of channeling.

01:04:21.890 --> 01:04:25.190 align:middle line:84%
If I tilt the crystal, so I'm
outside 3 or 4 degrees-- say,

01:04:25.190 --> 01:04:27.290 align:middle line:90%
I'm at 7 degree tilt--

01:04:27.290 --> 01:04:29.810 align:middle line:84%
most of the ions will come
in, and they won't actually

01:04:29.810 --> 01:04:31.130 align:middle line:90%
be aligned with the channel.

01:04:31.130 --> 01:04:33.420 align:middle line:84%
So you won't get
much channeling.

01:04:33.420 --> 01:04:35.457 align:middle line:84%
So it kind of gives
you an idea of how much

01:04:35.457 --> 01:04:37.290 align:middle line:84%
accuracy, when you're
shooting your ions in,

01:04:37.290 --> 01:04:41.138 align:middle line:84%
do you have to have
to enable channeling.

01:04:41.138 --> 01:04:45.570 align:middle line:90%


01:04:45.570 --> 01:04:47.250 align:middle line:84%
As we see here on
slide 20, people

01:04:47.250 --> 01:04:50.400 align:middle line:84%
do something called controlled
misalignment of the crystal

01:04:50.400 --> 01:04:53.730 align:middle line:84%
when they put the wafers
in the ion implanter.

01:04:53.730 --> 01:04:56.160 align:middle line:84%
And they don't put
them in like this.

01:04:56.160 --> 01:04:58.410 align:middle line:84%
They try not to put them in
so you're looking straight

01:04:58.410 --> 01:04:59.730 align:middle line:90%
down the 1,0,0 axis.

01:04:59.730 --> 01:05:01.507 align:middle line:84%
What they do is,
they take the wafer

01:05:01.507 --> 01:05:03.090 align:middle line:84%
and they put it on
the plate, and they

01:05:03.090 --> 01:05:05.298 align:middle line:84%
tilt the plate a little bit
with respect to the beam.

01:05:05.298 --> 01:05:08.130 align:middle line:84%
In fact, typical tilts
are about 7 degrees.

01:05:08.130 --> 01:05:10.150 align:middle line:84%
And they actually
also rotate it.

01:05:10.150 --> 01:05:12.500 align:middle line:84%
So if I've just taken
this crystal here,

01:05:12.500 --> 01:05:15.630 align:middle line:84%
and in the computer, they tilted
the crystal and rotate it.

01:05:15.630 --> 01:05:18.690 align:middle line:84%
And look, lo and behold, a
perfectly crystalline material

01:05:18.690 --> 01:05:22.190 align:middle line:84%
all of a sudden looks
somewhat random to the eye.

01:05:22.190 --> 01:05:25.395 align:middle line:84%
And so it looks somewhat
random to the incoming beam.

01:05:25.395 --> 01:05:26.270 align:middle line:90%
You see the channels.

01:05:26.270 --> 01:05:27.728 align:middle line:84%
A lot of them have
now been blocked

01:05:27.728 --> 01:05:29.180 align:middle line:90%
by the tilting and rotation.

01:05:29.180 --> 01:05:30.830 align:middle line:84%
And when it looks
random, that's good.

01:05:30.830 --> 01:05:34.432 align:middle line:84%
That means you're not going
to have a lot of channeling.

01:05:34.432 --> 01:05:36.140 align:middle line:84%
You can never get rid
of it all together.

01:05:36.140 --> 01:05:37.820 align:middle line:90%
You can minimize it.

01:05:37.820 --> 01:05:39.780 align:middle line:84%
Because the problem
is, as I come in here,

01:05:39.780 --> 01:05:42.050 align:middle line:84%
it looks pretty random, but
then I might get knocked.

01:05:42.050 --> 01:05:45.890 align:middle line:84%
Maybe I get knocked by 7 degrees
and rotated some of the ions,

01:05:45.890 --> 01:05:49.940 align:middle line:84%
and they get knocked
back into a channel.

01:05:49.940 --> 01:05:52.700 align:middle line:84%
So you can scatter
incident ions back

01:05:52.700 --> 01:05:55.290 align:middle line:84%
into channeling directions in
their first few collisions.

01:05:55.290 --> 01:05:58.250 align:middle line:84%
So you can't get rid of it,
but you can minimize it.

01:05:58.250 --> 01:06:01.280 align:middle line:84%
And ions that are not
channeled early in the process,

01:06:01.280 --> 01:06:04.250 align:middle line:84%
as they get closer to their end
of range, as they lose energy,

01:06:04.250 --> 01:06:05.540 align:middle line:90%
the critical angle increases.

01:06:05.540 --> 01:06:06.832 align:middle line:90%
In fact, I didn't mention that.

01:06:06.832 --> 01:06:09.920 align:middle line:84%
If I go back one
page to slide 28,

01:06:09.920 --> 01:06:11.720 align:middle line:84%
this was [? Linhart's ?]
expression

01:06:11.720 --> 01:06:13.130 align:middle line:90%
for the critical angle.

01:06:13.130 --> 01:06:16.940 align:middle line:84%
It depends on some
constant, e1, divided by e.

01:06:16.940 --> 01:06:19.490 align:middle line:90%
So this psi goes up.

01:06:19.490 --> 01:06:23.040 align:middle line:84%
As I get slower and slower,
then the critical angle goes up,

01:06:23.040 --> 01:06:24.830 align:middle line:84%
so the probability
of channeling is

01:06:24.830 --> 01:06:29.570 align:middle line:84%
going to be bigger at
the tail of a profile.

01:06:29.570 --> 01:06:32.840 align:middle line:84%
In fact, you see
that on slide 30.

01:06:32.840 --> 01:06:34.520 align:middle line:84%
That's very evident
when we actually

01:06:34.520 --> 01:06:38.060 align:middle line:84%
look at a profile that
was ion implanted,

01:06:38.060 --> 01:06:43.340 align:middle line:84%
where we tried to eliminate
channeling by tilting

01:06:43.340 --> 01:06:48.810 align:middle line:84%
the profile, tilting the wafer
by 7 degrees off the 1,1,1 axis.

01:06:48.810 --> 01:06:51.110 align:middle line:84%
So this is concentration
versus depth,

01:06:51.110 --> 01:06:55.618 align:middle line:84%
and there's a couple of
different profiles here.

01:06:55.618 --> 01:06:57.410 align:middle line:84%
In fact, what people
were trying to do was,

01:06:57.410 --> 01:06:59.600 align:middle line:84%
they were also trying
to cover the wafer

01:06:59.600 --> 01:07:01.130 align:middle line:90%
with an amorphous material.

01:07:01.130 --> 01:07:03.980 align:middle line:84%
People thought, oh,
well, if I-- why don't I

01:07:03.980 --> 01:07:05.810 align:middle line:84%
put a layer of
something amorphous?

01:07:05.810 --> 01:07:07.310 align:middle line:84%
That will prevent
channeling, right?

01:07:07.310 --> 01:07:09.920 align:middle line:84%
Because I'm covering up
the crystal with these

01:07:09.920 --> 01:07:11.600 align:middle line:90%
amorphous material.

01:07:11.600 --> 01:07:14.060 align:middle line:84%
But in fact, it doesn't
really avoid channeling.

01:07:14.060 --> 01:07:17.000 align:middle line:84%
Putting on a little bit of
nitride doesn't really help.

01:07:17.000 --> 01:07:20.480 align:middle line:84%
You still get this so-called
exponential channeling tail.

01:07:20.480 --> 01:07:24.530 align:middle line:84%
You see, all four profiles
have this exponential tail.

01:07:24.530 --> 01:07:25.610 align:middle line:90%
That's due to channeling.

01:07:25.610 --> 01:07:28.010 align:middle line:84%
As the ions get to
their end of range,

01:07:28.010 --> 01:07:30.897 align:middle line:84%
these ions down here have
lost a lot of their energy.

01:07:30.897 --> 01:07:33.480 align:middle line:84%
When they get to this point, the
critical angle for channeling

01:07:33.480 --> 01:07:35.355 align:middle line:84%
goes up because it's
much more likely they

01:07:35.355 --> 01:07:36.480 align:middle line:90%
get steered into a channel.

01:07:36.480 --> 01:07:38.170 align:middle line:84%
And oops, they go
a little further.

01:07:38.170 --> 01:07:43.230 align:middle line:84%
So this tail is called
residual channeling.

01:07:43.230 --> 01:07:47.400 align:middle line:84%
Even an amorphous overlayer
will not eliminate it,

01:07:47.400 --> 01:07:49.470 align:middle line:84%
and tilting the sample
will not eliminate.

01:07:49.470 --> 01:07:52.050 align:middle line:84%
So this tail does
need to be modeled

01:07:52.050 --> 01:07:55.110 align:middle line:84%
if you want to get a very
accurate simulation of what

01:07:55.110 --> 01:07:56.610 align:middle line:90%
your profile really looks like.

01:07:56.610 --> 01:08:01.480 align:middle line:90%


01:08:01.480 --> 01:08:04.260 align:middle line:84%
So let me just summarize
a little bit about--

01:08:04.260 --> 01:08:06.660 align:middle line:84%
so far, I haven't talked about
the physics of scattering

01:08:06.660 --> 01:08:08.160 align:middle line:90%
or of stopping or whatever.

01:08:08.160 --> 01:08:11.700 align:middle line:84%
But we've just talked about
how one analytically might

01:08:11.700 --> 01:08:15.100 align:middle line:90%
treat ion implant profiles.

01:08:15.100 --> 01:08:18.240 align:middle line:84%
We have a Gaussian distribution,
which has two coefficients.

01:08:18.240 --> 01:08:19.290 align:middle line:90%
It does an OK job.

01:08:19.290 --> 01:08:20.850 align:middle line:84%
It's not very good,
but it's good.

01:08:20.850 --> 01:08:21.600 align:middle line:90%
It's OK.

01:08:21.600 --> 01:08:23.819 align:middle line:84%
Pearson IV has
four coefficients.

01:08:23.819 --> 01:08:25.859 align:middle line:84%
It's very good for
amorphous, but it

01:08:25.859 --> 01:08:27.990 align:middle line:90%
doesn't include channeling.

01:08:27.990 --> 01:08:30.939 align:middle line:84%
If I take Pearson IV, and
I add an exponential tail,

01:08:30.939 --> 01:08:34.590 align:middle line:84%
so now I need six coefficients,
I can include channeling.

01:08:34.590 --> 01:08:37.660 align:middle line:90%
And it works in some cases.

01:08:37.660 --> 01:08:40.410 align:middle line:84%
There's something called a dual
Pearson, which we'll talk about.

01:08:40.410 --> 01:08:43.109 align:middle line:84%
That's two Pearson
profiles superimposed,

01:08:43.109 --> 01:08:44.859 align:middle line:90%
has nine coefficients.

01:08:44.859 --> 01:08:46.810 align:middle line:84%
So look, as I'm going
from top to bottom,

01:08:46.810 --> 01:08:49.170 align:middle line:84%
I'm adding more and
more free parameters.

01:08:49.170 --> 01:08:50.939 align:middle line:84%
Of course, you can
model anything.

01:08:50.939 --> 01:08:53.550 align:middle line:84%
You can model an elephant
with enough free parameters.

01:08:53.550 --> 01:08:55.830 align:middle line:84%
Legendre polynomials
have 19 coefficients.

01:08:55.830 --> 01:08:57.840 align:middle line:84%
That's getting
kind of ridiculous.

01:08:57.840 --> 01:09:00.930 align:middle line:84%
But there are tables of a
lot of these coefficients

01:09:00.930 --> 01:09:04.710 align:middle line:84%
that are built into
textbooks or into SUPREM-IV.

01:09:04.710 --> 01:09:07.319 align:middle line:84%
And they have a lot
of these coefficients

01:09:07.319 --> 01:09:11.920 align:middle line:84%
as a function of mass, energy,
dose, tilt angle, all that.

01:09:11.920 --> 01:09:14.180 align:middle line:84%
These analytic
calculations are very fast.

01:09:14.180 --> 01:09:15.319 align:middle line:90%
They're very efficient.

01:09:15.319 --> 01:09:17.109 align:middle line:84%
But you have to be
very careful when

01:09:17.109 --> 01:09:20.620 align:middle line:84%
you're using them because the
coefficients for dual Pearson

01:09:20.620 --> 01:09:24.189 align:middle line:84%
or coefficients for this
Legendre polynomials,

01:09:24.189 --> 01:09:26.590 align:middle line:84%
whatever it is, a
lot of times people

01:09:26.590 --> 01:09:28.510 align:middle line:84%
are just fitting
experimental data, which

01:09:28.510 --> 01:09:30.050 align:middle line:90%
may have artifacts of its own.

01:09:30.050 --> 01:09:32.920 align:middle line:84%
Remember, when we
talked about SIMS,

01:09:32.920 --> 01:09:34.850 align:middle line:84%
we talked about a
knock-on process.

01:09:34.850 --> 01:09:38.439 align:middle line:84%
So SIMS itself will
tend to produce tails,

01:09:38.439 --> 01:09:42.399 align:middle line:84%
just from the secondary
ion mass spectrometers,

01:09:42.399 --> 01:09:44.359 align:middle line:84%
from the analytical
technique I used.

01:09:44.359 --> 01:09:45.880 align:middle line:84%
So you have to be
sure that somebody

01:09:45.880 --> 01:09:51.700 align:middle line:84%
wasn't actually modeling
an experimental artifact.

01:09:51.700 --> 01:09:53.439 align:middle line:84%
Anything based on
tables, you have

01:09:53.439 --> 01:09:57.130 align:middle line:84%
to take with a grain of salt
and just be a little careful.

01:09:57.130 --> 01:09:58.780 align:middle line:90%
Check it out.

01:09:58.780 --> 01:10:03.520 align:middle line:84%
Slide 32 actually just
shows you some SUPREM-IV,

01:10:03.520 --> 01:10:08.020 align:middle line:84%
four different models of
varying complexity for modeling

01:10:08.020 --> 01:10:10.000 align:middle line:90%
a particular implant.

01:10:10.000 --> 01:10:11.960 align:middle line:84%
These are
concentration contours.

01:10:11.960 --> 01:10:14.540 align:middle line:84%
Each color or each
grayscale represents

01:10:14.540 --> 01:10:18.560 align:middle line:84%
a different concentration
of the dopant.

01:10:18.560 --> 01:10:21.980 align:middle line:84%
This is a polysilicon mask
edge, so none of the dopant

01:10:21.980 --> 01:10:25.520 align:middle line:84%
can make it into
the mask over here.

01:10:25.520 --> 01:10:27.950 align:middle line:84%
And it only is implanted
on the right-hand side.

01:10:27.950 --> 01:10:31.400 align:middle line:90%


01:10:31.400 --> 01:10:34.040 align:middle line:84%
So it's particularly tricky
to get the right profile.

01:10:34.040 --> 01:10:35.840 align:middle line:84%
So this particular
model, upper left,

01:10:35.840 --> 01:10:38.490 align:middle line:84%
is assuming you're going
into amorphous silicon,

01:10:38.490 --> 01:10:41.340 align:middle line:90%
so it has a very simple shape.

01:10:41.340 --> 01:10:44.010 align:middle line:84%
This is assuming the dual
Pearson type of model,

01:10:44.010 --> 01:10:46.250 align:middle line:84%
so it's going to
have some skewness.

01:10:46.250 --> 01:10:48.770 align:middle line:84%
This particular profile
is dual Pearson,

01:10:48.770 --> 01:10:50.840 align:middle line:84%
where there are extra
coefficients that

01:10:50.840 --> 01:10:53.550 align:middle line:84%
take into account tilt of
the wafer and rotation.

01:10:53.550 --> 01:10:56.450 align:middle line:84%
You can see it looks
quite different from that.

01:10:56.450 --> 01:10:58.850 align:middle line:84%
All three of these here
in the upper left corner,

01:10:58.850 --> 01:11:00.530 align:middle line:84%
these three are what
we call analytic.

01:11:00.530 --> 01:11:04.370 align:middle line:84%
They're based on these equations
that we've been talking about.

01:11:04.370 --> 01:11:06.260 align:middle line:84%
Monte Carlo model
is quite different,

01:11:06.260 --> 01:11:07.760 align:middle line:84%
and we'll talk about
that next time.

01:11:07.760 --> 01:11:09.830 align:middle line:84%
Monte Carlo, literally
in the computer,

01:11:09.830 --> 01:11:12.238 align:middle line:84%
you shoot ions into the
crystal, and you follow

01:11:12.238 --> 01:11:13.280 align:middle line:90%
the scattering processes.

01:11:13.280 --> 01:11:15.470 align:middle line:84%
And you will see where
all those ions end up.

01:11:15.470 --> 01:11:16.430 align:middle line:90%
A computer can do that.

01:11:16.430 --> 01:11:20.180 align:middle line:84%
It can sit there all day, and it
can calculate the trajectories

01:11:20.180 --> 01:11:23.820 align:middle line:84%
for 10,000 ions and then plot
their statistical distribution.

01:11:23.820 --> 01:11:25.920 align:middle line:84%
So Monte Carlo tends
to be quite accurate

01:11:25.920 --> 01:11:27.170 align:middle line:90%
if you have enough physics in.

01:11:27.170 --> 01:11:28.628 align:middle line:84%
Unfortunately, it
takes a long time

01:11:28.628 --> 01:11:31.170 align:middle line:84%
because the computer has to go
in there and follow every ion,

01:11:31.170 --> 01:11:34.470 align:middle line:90%
see where it ended up.

01:11:34.470 --> 01:11:38.970 align:middle line:84%
Here's an example, actually,
a few words about Monte Carlo.

01:11:38.970 --> 01:11:41.310 align:middle line:84%
What you do is, you
integrate the equation

01:11:41.310 --> 01:11:45.900 align:middle line:84%
of motion for a representative
ion from the point

01:11:45.900 --> 01:11:47.940 align:middle line:84%
when it hits the
surface of the silicon

01:11:47.940 --> 01:11:51.990 align:middle line:84%
until the point where it comes
to a rest, where it stops.

01:11:51.990 --> 01:11:53.640 align:middle line:90%
And you repeat this process.

01:11:53.640 --> 01:11:56.820 align:middle line:84%
You follow the ions for
as many times as you can,

01:11:56.820 --> 01:12:01.810 align:middle line:84%
using random starting
impact parameters.

01:12:01.810 --> 01:12:04.990 align:middle line:84%
And there is this so-called
law of large numbers

01:12:04.990 --> 01:12:09.670 align:middle line:84%
that says, the error, the
scatter in what you're

01:12:09.670 --> 01:12:13.630 align:middle line:84%
going to see, goes like 1
over the square root of n.

01:12:13.630 --> 01:12:17.860 align:middle line:84%
So if you want three decades
of a profile to be accurate,

01:12:17.860 --> 01:12:19.510 align:middle line:90%
then you need--

01:12:19.510 --> 01:12:23.080 align:middle line:84%
with less than 10% error--
you need 10 to the 5th ions.

01:12:23.080 --> 01:12:27.400 align:middle line:84%
So 10,000 ions, or 100,000 ions,
rather, is about the minimum

01:12:27.400 --> 01:12:29.607 align:middle line:84%
that you need to get
a nice smooth profile.

01:12:29.607 --> 01:12:30.940 align:middle line:90%
So that's going to take a while.

01:12:30.940 --> 01:12:32.967 align:middle line:84%
You can try on some
of your homework,

01:12:32.967 --> 01:12:35.050 align:middle line:84%
so you may end up trying
a Monte Carlo simulation.

01:12:35.050 --> 01:12:35.440 align:middle line:90%
You could see.

01:12:35.440 --> 01:12:36.940 align:middle line:84%
It could take half
an hour, it could

01:12:36.940 --> 01:12:38.650 align:middle line:84%
take overnight
simulating one implant,

01:12:38.650 --> 01:12:41.830 align:middle line:84%
depending on how many
ions you need to follow.

01:12:41.830 --> 01:12:44.650 align:middle line:84%
This is an example of some
Monte Carlo simulations

01:12:44.650 --> 01:12:48.100 align:middle line:84%
that were published
back in 1997 for--

01:12:48.100 --> 01:12:51.670 align:middle line:84%
here, they're doing
relatively low-energy boron.

01:12:51.670 --> 01:12:54.310 align:middle line:84%
And get that here,
0.5 keV, 1 keV.

01:12:54.310 --> 01:12:57.700 align:middle line:84%
And you can see the statistical
nature of these profiles.

01:12:57.700 --> 01:13:01.540 align:middle line:84%
The simulations are
these little boxed sort

01:13:01.540 --> 01:13:03.910 align:middle line:84%
of digitized looking things
because they're actually

01:13:03.910 --> 01:13:06.910 align:middle line:84%
following individual ions
and trying to build up

01:13:06.910 --> 01:13:08.720 align:middle line:90%
a distribution based on that.

01:13:08.720 --> 01:13:11.823 align:middle line:84%
So the nice thing is you
can get reasonable accuracy.

01:13:11.823 --> 01:13:13.240 align:middle line:84%
The bad thing is
it could take you

01:13:13.240 --> 01:13:15.850 align:middle line:84%
days if you're trying to
fit a profile, literally

01:13:15.850 --> 01:13:19.300 align:middle line:90%
days to do that.

01:13:19.300 --> 01:13:20.820 align:middle line:84%
And before we
finish up, I wanted

01:13:20.820 --> 01:13:23.280 align:middle line:84%
to mention there's one other
type of calculation that's

01:13:23.280 --> 01:13:28.710 align:middle line:84%
not very popular but was
developed a while back

01:13:28.710 --> 01:13:31.680 align:middle line:84%
and actually is kind of a
compromise between Monte Carlo

01:13:31.680 --> 01:13:32.550 align:middle line:90%
and analytic.

01:13:32.550 --> 01:13:35.100 align:middle line:84%
It's something called the
Boltzmann Transport Equation,

01:13:35.100 --> 01:13:38.070 align:middle line:90%
or the BTE, developed by Giles.

01:13:38.070 --> 01:13:41.730 align:middle line:84%
And he was able to write down
a Boltzmann transport equation

01:13:41.730 --> 01:13:45.990 align:middle line:84%
and then model an
ion distribution.

01:13:45.990 --> 01:13:47.880 align:middle line:84%
Instead of following
individual ions,

01:13:47.880 --> 01:13:50.220 align:middle line:84%
he was following the
distribution, the momentum

01:13:50.220 --> 01:13:53.170 align:middle line:84%
and the energy
distribution of these ions.

01:13:53.170 --> 01:13:55.980 align:middle line:84%
So there's economy of
scale in doing that.

01:13:55.980 --> 01:13:58.890 align:middle line:84%
And he actually followed the
distribution as it changed

01:13:58.890 --> 01:14:01.650 align:middle line:84%
and as it evolves
in the computer.

01:14:01.650 --> 01:14:03.660 align:middle line:84%
I won't go into the
detail, but basically

01:14:03.660 --> 01:14:07.380 align:middle line:84%
by following distributions
instead of following ions,

01:14:07.380 --> 01:14:09.480 align:middle line:84%
it's much faster
than Monte Carlo.

01:14:09.480 --> 01:14:11.250 align:middle line:84%
But it can have
as good accuracy.

01:14:11.250 --> 01:14:13.510 align:middle line:84%
Unfortunately, it never
became very popular,

01:14:13.510 --> 01:14:15.630 align:middle line:84%
so I don't think
it's in SUPREM-IV.

01:14:15.630 --> 01:14:17.880 align:middle line:84%
There may be some versions
of simulators out there out

01:14:17.880 --> 01:14:20.250 align:middle line:84%
in the world, though, you
may come upon that have

01:14:20.250 --> 01:14:22.040 align:middle line:90%
BTE method for ion implant.

01:14:22.040 --> 01:14:23.800 align:middle line:84%
I think it's actually
a very good method.

01:14:23.800 --> 01:14:25.990 align:middle line:84%
It's just too bad it didn't
catch on in a big way.

01:14:25.990 --> 01:14:29.450 align:middle line:90%


01:14:29.450 --> 01:14:32.920 align:middle line:84%
So on slide 35,
let me summarize.

01:14:32.920 --> 01:14:35.230 align:middle line:84%
We saw the ion implant
is the preferred process

01:14:35.230 --> 01:14:36.290 align:middle line:90%
for introducing dopants.

01:14:36.290 --> 01:14:37.360 align:middle line:90%
It has excellent control.

01:14:37.360 --> 01:14:40.750 align:middle line:84%
It's very reproducible
and uniform.

01:14:40.750 --> 01:14:44.560 align:middle line:84%
The key parameters, energy of
the incoming beam, the dose,

01:14:44.560 --> 01:14:46.990 align:middle line:84%
the tilt of the wafer
with respect to the beam,

01:14:46.990 --> 01:14:49.750 align:middle line:84%
the rotation of the
axis of the wafer,

01:14:49.750 --> 01:14:52.842 align:middle line:84%
whether there are any masking
materials on the wafer.

01:14:52.842 --> 01:14:55.300 align:middle line:84%
Controlling the temperature of
the wafer during the implant

01:14:55.300 --> 01:14:58.608 align:middle line:84%
is actually somewhat
important because it'll

01:14:58.608 --> 01:15:00.400 align:middle line:84%
control the damage to
a certain extent that

01:15:00.400 --> 01:15:01.780 align:middle line:90%
gets done to the crystal.

01:15:01.780 --> 01:15:04.133 align:middle line:84%
The dose rate, the beam
current, how quickly

01:15:04.133 --> 01:15:05.050 align:middle line:90%
are you putting it in.

01:15:05.050 --> 01:15:06.730 align:middle line:84%
Actually, the dose
rate determines

01:15:06.730 --> 01:15:09.860 align:middle line:84%
how much you heat the wafer
up, and that's important.

01:15:09.860 --> 01:15:13.000 align:middle line:84%
So in practice, there are
a number of key parameters.

01:15:13.000 --> 01:15:16.300 align:middle line:84%
There are tables for the first
three moments, Rp, delta Rp,

01:15:16.300 --> 01:15:22.080 align:middle line:84%
and skewness, that you can
get out of the literature.

01:15:22.080 --> 01:15:25.640 align:middle line:84%
The most popular analytic
equation to use or formulation

01:15:25.640 --> 01:15:28.250 align:middle line:84%
is the Pearson IV
for nonchanneling.

01:15:28.250 --> 01:15:31.340 align:middle line:84%
If you want to model channeling,
you need more parameters

01:15:31.340 --> 01:15:32.750 align:middle line:90%
than four.

01:15:32.750 --> 01:15:37.580 align:middle line:84%
Usually, people use dual
Pearson and lookup tables.

01:15:37.580 --> 01:15:41.453 align:middle line:84%
Monte Carlo is slow, but it's
probably the most accurate

01:15:41.453 --> 01:15:42.620 align:middle line:90%
or one of the most accurate.

01:15:42.620 --> 01:15:46.430 align:middle line:84%
The BTE is another approach
you may find in the literature.

01:15:46.430 --> 01:15:48.800 align:middle line:84%
It's an alternative
to Monte Carlo,

01:15:48.800 --> 01:15:53.150 align:middle line:84%
but it's faster, but
not that widely used.

01:15:53.150 --> 01:15:54.685 align:middle line:84%
What I didn't get
to cover today,

01:15:54.685 --> 01:15:56.060 align:middle line:84%
we'll spend the
lecture next time

01:15:56.060 --> 01:15:58.340 align:middle line:84%
on the detailed physics
of these billiard ball

01:15:58.340 --> 01:16:00.530 align:middle line:84%
collisions, the
physics and modeling

01:16:00.530 --> 01:16:03.350 align:middle line:84%
of this nuclear stopping,
these collisions

01:16:03.350 --> 01:16:04.910 align:middle line:90%
and this electronic drag force.

01:16:04.910 --> 01:16:07.370 align:middle line:84%
So we can actually
see in more detail

01:16:07.370 --> 01:16:09.110 align:middle line:90%
how the physics of the implant.

01:16:09.110 --> 01:16:12.170 align:middle line:84%
Today, I just mostly talked
about practical aspects.

01:16:12.170 --> 01:16:14.870 align:middle line:84%
OK, if you came in late,
a couple reminders.

01:16:14.870 --> 01:16:17.090 align:middle line:90%
Pick up this handout number 20.

01:16:17.090 --> 01:16:19.100 align:middle line:84%
This describes your
final term projects.

01:16:19.100 --> 01:16:22.040 align:middle line:84%
And next time, I'm going
to bring a sign-up sheet.

01:16:22.040 --> 01:16:25.610 align:middle line:84%
You can sign up for the topic
you want to use or study,

01:16:25.610 --> 01:16:27.080 align:middle line:84%
and most importantly,
whether you

01:16:27.080 --> 01:16:32.000 align:middle line:84%
want to do an oral report
or a written report.

01:16:32.000 --> 01:16:34.660 align:middle line:84%
And next time, I'll
have the homework.

01:16:34.660 --> 01:16:37.000 align:middle line:90%