WEBVTT

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[RUSTLING]

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[CLICKING]

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JUEJUN HU: OK, so let's start.

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So starting in
this lecture, we're

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going to talk about a
different topic here.

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We are going to discuss about
electrical and transport

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properties in
amorphous materials.

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The reading materials,
they cover ionic transport.

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There's relatively little
coverage on, essentially,

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electronic structures and
electronic transport behavior.

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You basically just have to more
or less rely on the slides,

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or go to ChatGPT and search
for relevant materials.

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OK.

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So to start with,
this slide summarizes

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some of the very basics
of electrical conduction.

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So electrical conduction
happens when you apply

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electric field in a material.

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The charged particles
start to move around.

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You can have charged particles
two different opposite charges.

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You can have positively-charged
ions, negatively-charged ions,

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or electrons.

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They will move along different
directions in electric field,

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but both of them will contribute
to positive electrical

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conductivity.

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So we can see that
from the equation here.

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This is something you
probably have already

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learned from general physics.

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Basically, if you look at
the electrical conductivity

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expression here, n will
be the concentration

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of the charged carriers,
Z is the charge

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number, e is the
elementary charge,

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and mu is basically
the mobility.

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Now, one thing to keep in
mind is that regardless

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of the sign of the
charge, whether it's

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a positive charge
or negative charge,

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you always get a
positive contribution

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to the electrical conductivity.

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Which makes sense.

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Essentially, what
happens is if you apply

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electric fields, the positive-
and negative-charged particles,

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they will move in
opposite directions,

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but the current direction always
aligns with the electric field

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direction.

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So this is something
to keep in mind when

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you do the summation to get the
total electrical conductivity

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in solid material.

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The other thing I also want
to mention about this equation

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here is about this letter here.

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So for this equation
here, v is the velocity.

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It's basically a product of
mobility times electric field.

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Unfortunately, v looks exactly
the same as the Greek letter nu.

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There's no way to tell the
difference on PowerPoint.

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So that's why any letter
v that's in the bold form,

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this is representing a vector.

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This is the velocity.

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OK?

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Nu is without the bold.

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On the board, I'm going to
write v with a vector sign.

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OK?

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Basically, this is our velocity.

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This is nu.

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This is v. This is our velocity.

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OK?

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OK.

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So the other thing I also
want to highlight here,

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this is also something--

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I assume you probably have
seen the Einstein relation

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in kinetics class, yes?

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Yeah.

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Essentially, it links two kinds
of different kinetic parameters,

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right?

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One is diffusion coefficient
D, the other is mobility.

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And the two are
naturally linked together

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because they both
describe how these charged

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particles will actually
move under the action

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of external forces.

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In the case of D, it's moving
due to a concentration gradient.

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So essentially, due to a
chemical potential gradient.

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In the case of mu, it's
moving under the action

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of electric field.

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So both should be related to
how mobile the particle is

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and the other external force.

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That's why they are
naturally linked together.

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And so if you plug everything
into the equation here,

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this is what you end up getting.

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If you want to get the total
electrical conductivity

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in a material, you just
sum up the contribution

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from each individual
charged species.

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And as I said, because this
term here, Z, is squared.

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And that's why,
regardless of whether you

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have a positive-charge or
negative-charge species,

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you always get a
positive contribution

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to the electrical conductivity.

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OK?

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Because the Z here is squared.

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Make sense?

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OK?

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All right.

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So what we will do next is
let's take a look at now--

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essentially, play
divide and conquer.

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Let's look at the contribution
to electrical conductivity

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from both ionic species
and the electronic species.

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Starting with ionic
species, you also probably

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have learned about
the ionic conduction

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mechanism in crystalline
materials in kinetics class.

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There are two kinds
of mechanisms.

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You can have a
vacancy mechanism,

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where essentially,
the ions swap position

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with neighboring
vacancy, and as a result,

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this will lead to
an electric current,

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or the ions can be staying
in interstitial sites,

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and they can
essentially move around

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from one interstitial
moving to a neighboring one,

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and therefore
conduct electricity.

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So in amorphous materials,
it becomes a little harder

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to precisely define a lattice
site, as well as the vacancy

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site, because we
do have this kind

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of regular crystalline
lattice structure.

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So instead, the language
we want to use here

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is that there are actually
preferred locations or preferred

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sites.

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This size gives,
essentially, a low energy

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when ions are actually
populating it.

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So then, the electrical
conduction process becomes,

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essentially, an
ion-hopping process

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between these low-energy sites.

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And this low-energy site,
obviously, is not periodic.

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If you look at this
plot I'm showing you

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on the left-hand side here,
what I'm showing, essentially,

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in yellow color, this
labels the low-energy sites

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where the lithium
ion, in this case,

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preferentially sits
in the silicate glass.

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So you can see that as we
increase the lithium ion

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concentration, the density of
this kind of low-energy site

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actually increases in
the glass material.

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But even for this very high
lithium ion concentration,

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you notice that these
sites, still they

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are separated from each other.

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They are not
completely connected.

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So then if you want to
have the lithium ion

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move from one end
of the material

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to the other end of material
during electrical conduction

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process, inevitably,
it involves the process

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of the lithium ion hopping
from one low-energy site

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to another low-energy site.

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And in that process, they have
to go through, essentially,

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barriers in between them.

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So you can think of the
ionic conduction process

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also as a thermally-activated
process, where the ions will

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have to essentially
overcome the energy

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barrier between these
low-energy sites

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in order to conduct the current.

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OK.

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So what we will
do next is that we

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will try to essentially
develop a model

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to capture what is the ionic
conductivity in solid materials,

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by looking at this picture here.

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What we are assuming
is we're basically

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looking at two neighboring
low-energy sites.

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There is some energy
barrier in between, that E,

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this is our energy barrier.

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And the ion will have to
overcome the energy barrier

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in order to transport
the electric current.

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Now, one thing I do
want to mention here

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is that because of
the statistical nature

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of glass structure,
when we are referring

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to this parameters of
the low-energy sites,

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such as depths of the well, or
the energy barrier separating

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two neighboring sites,
all those numbers

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should be considered
as an ensemble

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average across solid material.

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They are not-- unlike
crystalline material,

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they are not well-defined.

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OK, so now let's
consider how we actually

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derive the ionic conductivity
in this picture here.

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We will start out essentially
with a random walk theory.

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If you consider an ion
will be moving around

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between neighboring
lesser sites,

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the average distance
it will move,

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r, correlates with the
distance for every hop.

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So d will be the separation
between neighboring

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low-energy sites.

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So it's essentially the distance
where for one atomic hop.

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OK?

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And M is the total
number of atomic hops.

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So from the random walk theory,
the total distance within scales

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quadratically with
the number of hops,

00:08:46.510 --> 00:08:49.110 align:middle line:84%
or square root of
number of hops.

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OK?

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Now, the other equation
that you probably also

00:08:57.390 --> 00:09:00.670 align:middle line:84%
have seen in your kinetic class
is that the average diffusion

00:09:00.670 --> 00:09:03.470 align:middle line:84%
distance, this is
correlated with the-- this

00:09:03.470 --> 00:09:05.370 align:middle line:84%
is given by this
expression here,

00:09:05.370 --> 00:09:09.390 align:middle line:84%
where tau is the time
of the diffusion,

00:09:09.390 --> 00:09:11.750 align:middle line:84%
and D is our
diffusion coefficient.

00:09:11.750 --> 00:09:16.150 align:middle line:90%


00:09:16.150 --> 00:09:17.830 align:middle line:84%
So this is basically
the definition

00:09:17.830 --> 00:09:19.590 align:middle line:90%
of the diffusion length.

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For 1-D, the coefficient is 2,
for 3-D, the coefficient is 6,

00:09:22.950 --> 00:09:26.190 align:middle line:84%
because you have to diffuse
along three different

00:09:26.190 --> 00:09:27.230 align:middle line:90%
directions.

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So now, if you combine
this equation here,

00:09:29.870 --> 00:09:32.850 align:middle line:84%
these two equations
here, for example,

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if you take the simple 1-D
case, so you have two equations,

00:09:38.870 --> 00:09:44.730 align:middle line:84%
basically r equals
to d square root M,

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we know that r also equals to
square root 2 tau D for the 1-D

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case, right?

00:09:54.050 --> 00:09:57.250 align:middle line:84%
So then you can
then, essentially,

00:09:57.250 --> 00:10:02.450 align:middle line:84%
from that you can
then calculate D.

00:10:02.450 --> 00:10:07.410 align:middle line:84%
This would equal to, you
do a square on both sides,

00:10:07.410 --> 00:10:14.810 align:middle line:84%
becomes 1/2 M divided by
tau, and then d squared.

00:10:14.810 --> 00:10:16.530 align:middle line:90%
Right?

00:10:16.530 --> 00:10:21.410 align:middle line:84%
Now, M is the number
of hops, and tau

00:10:21.410 --> 00:10:24.130 align:middle line:90%
is the duration, all the time.

00:10:24.130 --> 00:10:27.450 align:middle line:84%
So M divided by tau essentially
gives you the frequency

00:10:27.450 --> 00:10:29.730 align:middle line:90%
of this kind of atomic hops.

00:10:29.730 --> 00:10:33.730 align:middle line:84%
So that's where we're now
introducing our Greek letter

00:10:33.730 --> 00:10:36.970 align:middle line:90%
nu d squared.

00:10:36.970 --> 00:10:42.590 align:middle line:84%
So nu will be the frequency
of this successive ionic hops

00:10:42.590 --> 00:10:44.730 align:middle line:84%
between the neighboring
low-energy sites.

00:10:44.730 --> 00:10:48.070 align:middle line:90%


00:10:48.070 --> 00:10:50.450 align:middle line:84%
OK, so if you look at
this equation here,

00:10:50.450 --> 00:10:55.110 align:middle line:84%
we are essentially simplifying
the diffusion coefficient

00:10:55.110 --> 00:10:58.750 align:middle line:84%
into this hopping
frequency, nu, here.

00:10:58.750 --> 00:11:02.110 align:middle line:84%
So all we need to do in order
to derive ionic conductivity,

00:11:02.110 --> 00:11:05.242 align:middle line:84%
if you look at the expression
here, if you know D,

00:11:05.242 --> 00:11:06.950 align:middle line:84%
you can then use it
to actually calculate

00:11:06.950 --> 00:11:08.870 align:middle line:90%
the ionic conductivity.

00:11:08.870 --> 00:11:09.410 align:middle line:90%
OK?

00:11:09.410 --> 00:11:12.190 align:middle line:84%
So what we need to
do is then to predict

00:11:12.190 --> 00:11:15.430 align:middle line:84%
what is the frequency
of successive hops

00:11:15.430 --> 00:11:17.510 align:middle line:84%
between the neighboring
low-energy sites.

00:11:17.510 --> 00:11:19.420 align:middle line:90%
OK.

00:11:19.420 --> 00:11:22.990 align:middle line:84%
Now, this is actually
quite straightforward

00:11:22.990 --> 00:11:25.710 align:middle line:84%
because this is essentially a
process where it's thermally

00:11:25.710 --> 00:11:27.470 align:middle line:90%
activated.

00:11:27.470 --> 00:11:29.110 align:middle line:90%
Essentially, you have an ion.

00:11:29.110 --> 00:11:31.550 align:middle line:84%
It's constantly vibrating
at this low-energy site

00:11:31.550 --> 00:11:34.750 align:middle line:84%
with a vibrational
frequency of nu 0.

00:11:34.750 --> 00:11:37.510 align:middle line:84%
Now, every time it
vibrates, you attempt

00:11:37.510 --> 00:11:41.290 align:middle line:84%
to overcome the energy barrier
and hop to a neighboring site.

00:11:41.290 --> 00:11:44.290 align:middle line:84%
Now, this kind of attempt
is not always successful.

00:11:44.290 --> 00:11:47.850 align:middle line:84%
So the probability of having
enough energy for the ion

00:11:47.850 --> 00:11:51.290 align:middle line:84%
to overcome the energy barrier
will be given by the Boltzmann

00:11:51.290 --> 00:11:52.810 align:middle line:90%
factor here.

00:11:52.810 --> 00:11:55.770 align:middle line:84%
So according to
this Arrhenius law,

00:11:55.770 --> 00:11:58.650 align:middle line:84%
basically it says that the
frequency of successful hops

00:11:58.650 --> 00:12:01.690 align:middle line:84%
is going to be given
by attempt frequency

00:12:01.690 --> 00:13:30.060 align:middle line:84%
or the vibrational frequency
times the [AUDIO OUT]

00:13:30.060 --> 01:13:44.000 align:middle line:90%