Physics 213: Lecture 4 - Particle Diffusion and Statistical Processes - Prof. Paul G. Kwia, Study notes of Physics

A part of the lecture notes for physics 213, covering topics such as particle diffusion, brownian motion, and statistical processes. It includes information on the random walk problem, mean free path, and the diffusion constant.

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Physics 213: Lecture 4, Pg 1
213 Midterm coming up
213 Midterm coming up
Monday Nov. 10, 7 pm (5:15pm)
Covers:
Lectures 1-7+ superficial 8
HW 1-4
Discussion 1-4
Labs 1-2
Review Session
Sun. Nov. 9, 3-5 PM Lincoln Hall Theater
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Download Physics 213: Lecture 4 - Particle Diffusion and Statistical Processes - Prof. Paul G. Kwia and more Study notes Physics in PDF only on Docsity!

Physics 213: Lecture 4, Pg 1

213 Midterm coming up

213 Midterm coming up

Monday Nov. 10,

7 pm (5:15pm)

Covers:

Lectures 1-7+ superficial 8HW 1-4Discussion 1-4Labs 1-

Review Session

Sun. Nov. 9, 3-5 PM Lincoln Hall Theater

Physics 213: Lecture 4, Pg 2

 

Particle Diffusion

Particle Diffusion

 

Counting and Probability

Counting and Probability

 

The meaning of equilibrium

The meaning of equilibrium

 

Two

Two

cell box and the concept of

cell box and the concept of

microstates

microstates

 

Other binomial systems: coin flip, spins

Other binomial systems: coin flip, spins

Statistical Processes Statistical Processes

Lecture 4

Reference for Lecture 4:

Elements

Ch 5

Reference for Lecture 5:

Elements

Ch 6

http://intro.chem.okstate.edu/1314F00/Laboratory/GLP.htm

Physics 213: Lecture 4, Pg 4

Random Walk Problem:

Diffusion of molecules

Random Walk Problem:

Diffusion of molecules

Picture can also apply to:

impurity atoms in an electronic device

defects in a crystalsound waves carrying heat in solid!



Gas molecules bounce aroundrandomly, colliding with othermolecules and the walls.



How far on average does a single molecule go in time t

http://intro.chem.okstate.edu/1314F00/Laboratory/GLP.htm

OKState Demo

Physics 213: Lecture 4, Pg 5

Rough, Simplified Picture of Particle Diffusion

Rough, Simplified Picture of Particle Diffusion



Assume the particles have average speed

v

As we indicated before, there will be a distribution of

speeds

.

Here,

v

represents an average.



A particle travels a distance

d

in a straight line, then scatters

off another particle and travels in a new, random

direction. l



Each step takes an average time:

ℓ v



How far does the particle get after a time t?

After a

time t

, how many steps will the particle have taken?

τ

=

t

M

:

nswer

A

Simpler question:

Mean free path

= average

distance between collisions

Physics 213: Lecture 4, Pg 7

Random Walk in 1

Random Walk in 1

D

D

(a slightly simpler case)(a slightly simpler case)



The net displacement

after

M steps

is:

=

M

1

i

i s x 0 s x

M

1

i

i

=



After many such walks with M steps, the mean displacement

is :

(by symmetry)



The mean square

displacement is:

The

mean square

grows

linearly

with

M, the number of steps



Width

of the distribution:

2

1/ 2

(1-D, assumes fixed

,

for steps)

t

x

rms

x

x

x

x

M

τ

τ

Width grows

as the square root of the number of steps



For each step s

i

(random sign)

x

x x ℓ x ℓ −

(Assume

= constant)

x

2

x

j

i

2 i

j

i

2

M ) s s ( ) s ( ) s ( ) s ( x

Physics 213: Lecture 4, Pg 8

Width

Width

and standard deviation (

and standard deviation (

s.d

s.d

10 steps, 10 steps,

n n

L L

= # steps left= # steps left

+/-

s.d

.

0

2

4

6

8

10

0.30 0.25 0.20 0.15 0.10 0.05 0.

Probability (n

L

steps left, out of N total)

n

L

Physics 213: Lecture 4, Pg 10

The diffusion constant

The diffusion constant

2

x

t

D



For a particle randomly scattering in 3 dimensions

, the mean

square displacement along the x direction is:

with the definition*:

where

= mean free path

and

v = average particle speed

The x-width (s.d.) of the

distribution expands as t

1/

.

Dt

x

x

rms

2

2

=

<

=

2

2

2

2

r

x

y

z

6

t

D

<

= <

<

  • <

=

Radial expansion:

2

1 3

D

v

3

=

=

τ

(3-dimensions with average

scattering length,

)



For a particle randomly scattering in 3 dimensions

, the mean

square displacement along

any

direction is:

(The particle has more possibilities to diffuse if we consider x, y, z.)

  • The numerical coefficients in general depend on the

distribution

of

distances and time intervals. For Phys. 213 we’ll use the form above.

Physics 213: Lecture 4, Pg 11



Consider impurity atoms diffusing from the surface of analuminum film into an interface with a semiconductor.

Exercise 1: Impurity diffusion in semiconductors

Exercise 1: Impurity diffusion in semiconductors

  1. If the Al is 10

m thick, approximately how long will

it take before many impurities have diffused through it?

  1. Approximately what is the impurity diffusion constant,
D

Al Si

Assume that each impurity makes a random step

of

m about once every 10 seconds.

x

Physics 213: Lecture 4, Pg 13

Act 1

Act 1

If we make the dimensions of the device twice as big, how

much longer will it last?

a) x ½b) x 0.71c) x 1.41d) x 2e) x 4

Physics 213: Lecture 4, Pg 14

Act 1

Act 1

1: Solution

1: Solution

If we make the dimensions of the device twice as big, how

much longer will it last?

a) x ½b) x 0.71c) x 1.41d) x 2e) x 4

The time to diffuse varies as the

square

of the thickness L: L

2

/D.

Physics 213: Lecture 4, Pg 16

Exercise 2: Isotope separation--Solution

You have the task of separating two isotopes of Uranium:

235

U and

238

U. Your lab partner suggests the following:

Put a gas containing both of them at one end of a longtube containing a gas through which they will diffuse.Which will get to the far end first?

(A)

235

U
(B)

238

U
(C)

Neither

The diffusion time t ~

2

/3D.

From equipartition:Therefore t ~ 1/D ~ 1/v ~

m

 

 

the heavier isotope takes slightly longer.

(This is the technique first used in the Manhattan Project. It was thenfound that centrifuges speed up the process.)

1 3

D

v

=

2

1

3

mv =

kT

v= 3kT/m

2

2

Physics 213: Lecture 4, Pg 17

ACT 1-2: Lifetime of batteries

Batteries can lose their charge when the separated

chemicals (ions) within them diffuse together. If youwant to preserve the life of the batteries when youaren’t using them, you should…

(A)

Refrigerate them

(B)

Slightly heat them

Physics 213: Lecture 4, Pg 19

FYI: Batteries

FYI: Batteries

Does putting batteries in the freezer or refrigerator make

them last longer?



It depends on which type of batteries and at whattemperature you normally store them.



Alkaline batteries stored at ~20˚C (room temp) dischargeat about 2%/year. However, at 38˚C (100˚F) the rateincreases to 25%/year.



NiMH and Nicad batteries, start to lose power when storedfor only a few days at room temperature. But they willretain a 90% charge for several months if you keep themin the freezer after they are fully charged.

If you do decide

to store your charged NiMH cells in the freezer orrefrigerator, make sure you keep them in tightly sealedbags so they stay dry. And you should also let themreturn to room temperature before using them.

Physics 213: Lecture 1, Pg 20

v

v = 0

End with v = 0

mgh = U

therm

½ mv

2

= U

therm

Thermal energy in block

converted to c.o.m. KE

Thermal energy

Kinetic energy

Potential energy

Have you ever seen this happen?

(when you weren’t asleep or on medication)

h = U

therm

/mg

U

therm

0

Which stage never happens?