Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But...

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Slide 1 Chapter 3 Particle-in-Box (PIB) Models

Transcript of Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But...

Page 1: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 1

Chapter 3

Particle-in-Box (PIB) Models

Page 2: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 2

Carrots are Orange.

Tomatoes are Red.

But Why?

Page 3: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 3

Outline

• The Classical Particle in a Box (PIB)

• The Quantum Mechanical PIB

• PIB and the Color of Vegetables

• PIB Properties

• Multidimensional Systems: The 2D PIB and 3D PIB

• Other PIB Models

• The Free Electron Molecular Orbital (FEMO) Model

• Statistical Thermodynamics: Translational contributions to the thermodynamic properties of gases.

Page 4: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 4

The Classical Particle in a Box

x

P(x

)

0 a0

a

E = ½mv2 = p2/2m = any value, including 0

i.e. the energy is not quantized and there is no minimum.

P(x) = Const. = C 0 £ x £ a

P(x) = 0 x < 0, x > a

Page 5: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 5

P(x) = Const. = C 0 £ x £ a

P(x) = 0 x < 0, x > a

Normalization

<x>

<x2>

0

00( ) 1 0 0

a a

aP x dx dx Cdx dx C x Ca

1( )P x C

a

2 2

00

1 1 1( )

2 2 2

aa x a a

x xP x dx x dxa a a

3 3 22 2 2

00

1 1 1( )

3 3 3

aa x a a

x x P x dx x dxa a a

Note:22 2

22 2 03 2 12x

a a ax x

Page 6: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 6

Outline

• The Classical Particle in a Box (PIB)

• The Quantum Mechanical PIB

• PIB and the Color of Vegetables

• PIB Properties

• Multidimensional Systems: The 2D PIB and 3D PIB

• Other PIB Models

• The Free Electron Molecular Orbital (FEMO) Model

• Statistical Thermodynamics: Translational contributions to the thermodynamic properties of gases.

Page 7: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 7

Quantum Mechanical Particle-in-Box

x

V(x

)

0 a0

V(x) = 0 0 x a

V(x) x < 0 , x > a

Outside the box: x<0, x>a

P(x) = *(x)(x) = 0

(x) = 0

Inside the box: 0 x a

Schrödinger Equation

2 2

2( )

2

dV x E

m dx

2 2

22

dE

m dx

or

2

2 2

2d mE

dx

Page 8: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 8

Solving the Equation

Assume

So far, there is no restriction on and, hence none onthe energy, E (other than that it cannot be negative)

2

2 2

2d mE

dx

cos( ) sin( )d

A x B xdx

sin( ) cos( )A x B x

22 2

2sin( ) cos( )

dA x B x

dx

22

2

d

dx

22

2mE

2 2

2E

m

Page 9: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 9

Applying Boundary Conditions (BC’s)

Nature hates discontinuous behavior;

i.e. It’s not really possible to stop on a dime

Because the wavefunction, , is 0 outside the box, x<0 and x>a,it must also be 0 inside the box at x=0 and x=a

BC-1: (0) = 0 = Asin(0) + Bcos(0) = B

Therefore, (x) = Asin(x)

BC-2: (a) = 0 = Asin(a) sin(n) = 0

Therefore: a = n n = 1, 2, 3, ...

Why isn’t n = 0 acceptable?

or: n = 1, 2, 3, ...n

a

sin( ) cos( )A x B x

Page 10: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 10

Wavefunctions and Energy Levels

Note that, unlike the classical particle in a box:

(a) the allowed energies are quantized

(b) E = 0 is NOT permissible (i.e. the particle can’t stand still)

n = 1, 2, 3, ...n

a

n = 1, 2, 3, ...sin( ) sinn

nA x A x

a

2 22 2 1

2 2 2

n hE

m a m

n = 1, 2, 3, ...2 2

28n

n hE

ma

2 2 2

2 2

1

2 4

n h

a m

Page 11: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 11

Energy Quantization results from application of the Boundary Conditions

2 2

28n

n hE

ma

2

1 21

8

hE

ma

2

2 24

8

hE

ma

2

3 29

8

hE

ma

2

4 216

8

hE

ma

2

5 225

8

hE

ma

Page 12: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 12

2

2

1 8ma

1hE

2

2

2 8ma

4hE

2

2

3 8ma

9hE

a

xsinAψ 1

a

x2sinAψ 2

0 a 20 a

Wavefunctions

a

x3sinAψ 3

Page 13: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 13

Note that: (a) The Probability, 2 is very different from the classical result.

(b) The number of “nodes” increases with increasing quantum number.

The increasing number of nodes reflects the higher kineticenergy with higher quantum number.

Page 14: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 14

The Correspondence Principle

The predictions of Quantum Mechanics cannot violate the resultsof classical mechanics on macroscopically sized systems.

Consider an electron in a 1 Angstrom box.Calculate (a) the Zero Point Energy (i.e. minimum energy) (b) the minimum speed of the electron me = 9.1x10-31 kg

a = 1x10-10 mh = 6.63x10-34 J-s

Thus, the minimum speed of an electron confined to an atomis quite high.

234218

1 2 31 10 2

6.63 106.04 10

8 8(9.1 10 )(1 10 )

x J shE x J

ma x kg x m

2 18 2 21 1

1 1 31

2 2(6.04 10 /

2 9.1 10

mv E x kg m sE v

m x kg

6 71 3.6 10 / ( 1.7 10 / )v x m s x mi hr

Page 15: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 15

Consider a 1 gram particle in a 10 cm box.Calculate (a) the Zero Point Energy (i.e. minimum energy) (b) the minimum speed of the particle m = 1x10-3 kg

a = 0.10 mh = 6.63x10-34 J-s

Thus, the minimum energy and speed of a macroscopic particleare completely negligible.

Let's perform the same calculation on a macroscopic system.

234263

1 2 3 2

6.63 105.50 10

8 8(1 10 )(0.1 )

x J shE x J

ma x kg m

2 63 2 2301 1

1 1 3

2 2(5.50 10 /3.3 10 /

2 10

mv E x kg m sE v x m s

m x kg

Page 16: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 16

Probability Distribution of a Macroscopic Particle

Consider a 1 gram particle in a 10 cm box moving at 1 cm/s.

Calculate the quantum number, n, which represents the numberof maxima in the probability, 2.

m = 1x10-3 kga = 0.10 mv = 0.01 m/sh = 6.63x10-34 J-s

Thus, the probability distribution is uniform throughout the box,as predicted by classical mechanics.

22 3 81 11 10 0.01 / 5.0 10

2 2E mv x kg m s x J

23 82 2 22

22 2 34

8 1 10 0.1 (5.0 10 )8

8 6.63 10

x kg m x Jn h ma EE n

ma h x J s

2 54 279.1 10 3 10n x n x

Page 17: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 17

Outline

• The Classical Particle in a Box (PIB)

• The Quantum Mechanical PIB

• PIB and the Color of Vegetables

• PIB Properties

• Multidimensional Systems: The 2D PIB and 3D PIB

• Other PIB Models

• The Free Electron Molecular Orbital (FEMO) Model

• Statistical Thermodynamics: Translational contributions to the thermodynamic properties of gases.

Page 18: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 18

Some Useful Integrals

2 1 1sin sin 2

2 4x dx x x

sin ( ) sin ( )sin sin

2 2

x xx x dx

21sin cos sin

2x x dx x

22

2

sin 2 cos 2sin

4 4 8

x x xxx x dx

3 22 2

3 2

cos 21sin sin 2

6 4 8 4

x xx xx x dx x

Page 19: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 19

PIB Properties

Normalization of the Wavefunctions

)s i n ()(s i n xxd xx 24

1

2

120 x asinn

nA x

a

2

2 2 2

0 0 01 sin sin

a a a

n

n ndx A x dx A x dx

a a

2 2

0

1 1 1 1 1sin 2 sin 2 0 sin 0

2 4 2 4 4

an

A x x A a aa

212

aA

1/22 2

Aa a

Page 20: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 20

Probability of finding the particle in aparticular portion of the box

This is significantly lower than the classical probability, 0.25.

)s i n ()(s i n xxd xx 24

1

2

12

Calculate the probability of finding a particle with n=1 in the region of the box between 0 and a/4

1 sinx

Aa

/ 4

2 2

0

1 1 1 1 1sin 2 sin 2 0 sin 0

2 4 2 4 4 / 4 4( / )

aa a

A x x Aa a a

/ 42 2

00 / 4 sin /

aP x a A x dx a

2 1 10 / 4 0.091

8 4 4 2

a aP x a

a

Page 21: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 21

Orthogonality of the Wavefunctions

)(

])s i n [(

)(

])s i n [()s i n ()s i n (

22

xxd xxx

aa

a

aa

a 33

0Thus, 1 and 2 are orthogonal

Two wavefunctions are orthogonal if: * 0i jd i j

We will show that the two lowest wavefunctions of the PIB

are orthogonal: 1 2

2sin sin

x xA A

a a

22 10 0 0

2 2sin sin sin sin

a a ax xdx A A dx A x x dx

a a a a

2 2

2 10

sin ( ) sin ( )0 0

2 2

a a adx A A

22 10

sin sin 30

2 2

adx A

Page 22: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 22

Thus, the PIB wavefunctions are orthogonal.

If they have also been normalized, thenthe wavefunctions are orthonormal:

Using the same method as above, it can be shown that:

* 0i jd For all i j

*i j ijd

or

i j ij

Page 23: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 23

Positional Averages

We will calculate the averages for 1 and present the generalresult for n

<x>

1

2sin sin

xA A x A

a a a

sin sin 0 sin 2 sin 2 0a a a aa a

cos cos 1 cos 2 cos 2 1a a a aa a

*1 1 1 10 0

sin sina a x x

x x x dx A xA dxa a

2 2

0sin

aA x x dx

a

Page 24: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 24

This makes sense because 2 is symmetric about thecenter of the box.

2

22

8

)2c o s (

4

)2s in (

4)(s in

xxxx

d xxx 2 2

0sin

ax A x x dx

2

2 2

sin 2 cos 2 cos 020 0

4 4 8 8

a a aax

a

2

2 2

2 1 1

4 8 8

ax

a

2

ax

General Case:2

ax

Page 25: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 25

<x2 >

23

2322

4

22

8

1

46

)c o s ()s in()(s in

xxx

xxd xxx

2 2 * 2 2

1 1 1 10 0sin sin

a a x xx x x dx A x A dx

a a

2 2 2

0sin

aA x x dx

a

3 22

3 2

cos 22 1sin 2 0 0 0

6 4 8 4

a aa ax a

a

3 2 22 2 2

2 2 2

2 1 10.28

6 3 2 3 24

a a a ax a a

a

a

Page 26: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 26

Note that the general QM value reduces to the classical resultin the limit of large n, as required by the Correspondence Principle.

2 2 22

1 10.28

3 2x a a

compared to the classical result2

2 20.332

ax a

General Case: 2 22 2

1 1

3 2x a

n

Page 27: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 27

Momentum Averages

Preliminary

ˆ dp

i dx 2

2 22

dp

dx ^

1

2sin sinA x A x A

a a a

1 sin cosd d

A x A xdx dx

2

212

cos sind d

A x A xdx dx

sin sin 0 sin 2 sin 2 0a a a aa a

cos cos 1 cos 2 cos 2 1a a a aa a

Page 28: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 28

)(s i n)c o s ()s i n ( xd xxx 2

2

1

<p> = 0

On reflection, this is not surprising.The particle has equal probabilities of moving in the + or - x-direction,and the momenta cancel each other.

(General case is the same)

<p> ˆ dp

i dx

* 11 1 10 0

sinˆ sin

a a

xdA

d ap p dx A x dx

i dx i dx a

2

0 0sin cos sin cos

a aA x A x dx A x x dx

i i

2 2 2 21 1sin sin 0 0 0

2 2p A a A

i i

Page 29: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 29

)s i n ()(s i n xxd xx 24

1

2

12

<p2>2

2 22

dp

dx ^

^ 2

22 2 * 2 21

1 1 1 2 20 0

sinsin

a a

xd A

d ap p dx A x dx

dx dx a

2 2 2 2 2 2

0 0sin sin sin

a aA x A x dx A x dx

2 2 2 2 2 21 1 2sin 2 0 sin 0)

2 4 4 2

a ap A a

a

2 22 2 2

2p

a

General Case:2 2 2

22

np

a

Page 30: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 30

Standard Deviations and the Uncertainty Principle

Heisenberg Uncertainty Principle:2x p

0.502

ax a

2 20.28x a

0p

2 22

2p

a

2 22 20.28 0.50 0.17x x x a a a

22 2 0 3.14p p p pa a

0.17 3.14 0.53x p aa

Page 31: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 31

Outline

• The Classical Particle in a Box (PIB)

• The Quantum Mechanical PIB

• PIB and the Color of Vegetables

• PIB Properties

• Multidimensional Systems: The 2D PIB and 3D PIB

• Other PIB Models

• The Free Electron Molecular Orbital (FEMO) Model

• Statistical Thermodynamics: Translational contributions to the thermodynamic properties of gases.

Page 32: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 32

Other PIB Models

PIB with one non-infinite wall

x

V(x

)

0 a0

V(x) = 0 0 x a

V(x) x < 0

Vo

V(x) = Vo x > a

We will first consider the casewhere E < V0.

Region I

I

Region II

II

Boundary Conditions

The wavefunction must satisfy two conditionsat the boundaries (x=0, x=a, x)

1) must be continuous at all boundaries.

2) d/dx must be continuous at the boundaries unless V at the boundary.

Page 33: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 33

x

V(x

)

0 a0

V(x) = 0 0 x a

V(x) x < 0

Vo

V(x) = Vo x > a

We will first consider the casewhere E < V0.

Region I

I

Region II

II

Region I

Ic o n s t

)c o s ()s i n ( xBxAI

canassume

22

20

2I

I

dE

m dx

2

2 2

2II I

d mEconst

dx

sin cosI A x B x

cos sinIdA x B x

dx

2

2 22

sin cosIdA x B x

dx

22

2I

I

d

dx

Page 34: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 34

x

V(x

)

0 a0

V(x) = 0 0 x a

V(x) x < 0

Vo

V(x) = Vo x > a

We will first consider the casewhere E < V0.

Region I

I

Region II

II

Region I

Relation between and E

22

2I I

mE

22

2mE

2

2 2

2II

d mE

dx

22

2I

I

d

dx

sin cosI A x B x

2

2mE

Page 35: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 35

x

V(x

)

0 a0

V(x) = 0 0 x a

V(x) x < 0

Vo

V(x) = Vo x > a

We will first consider the casewhere E < V0.

Region I

I

Region II

II

Region II

I Ic o n s t

22

022II

II II

dV E

m dx

2

02 2

2IIII

d mE V

dx

2

02 2

2IIII II

d mV E const

dx

canassume

x xII Ce De

x xIIdC e D e

dx

22 2

2x xIId

C e D edx

22

2II

II

d

dx

Page 36: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 36

x

V(x

)

0 a0

V(x) = 0 0 x a

V(x) x < 0

Vo

V(x) = Vo x > a

We will first consider the casewhere E < V0.

Region I

I

Region II

II

Region II

Relation between and E

2

02 2

2IIII

d mV E

dx

x xII Ce De

22

2II

II

d

dx

202

2II II

mV E

202

2mV E

02

2mV E

Page 37: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 37

x

V(x

)

0 a0

V(x) = 0 0 x a

V(x) x < 0

Vo

V(x) = Vo x > a

We will first consider the casewhere E < V0.

Region I

I

Region II

II

BC: x = 0

Boundary Conditions

sin cosI A x B x 2

2mE

(0) 0 sin 0 cos 0I A B B 0B

)s i n ( xAI Therefore: sinI A x

Page 38: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 38

x

V(x

)

0 a0

V(x) = 0 0 x a

V(x) x < 0

Vo

V(x) = Vo x > a

We will first consider the casewhere E < V0.

Region I

I

Region II

II

BC: x = Boundary Conditions

x xII Ce De 02

2mV E

0II Ce De Ce 0C

Therefore: xII De

Page 39: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 39

x

V(x

)

0 a0

V(x) = 0 0 x a

V(x) x < 0

Vo

V(x) = Vo x > a

We will first consider the casewhere E < V0.

Region I

I

Region II

II

BC’s: x = a

Boundary Conditions

sinI A x 2

2mE

xII De 02

2mV E

cosIdA x

dx

xIIdD e

dx

or

( ) ( )I IIa a

sin aA a De

or

I II

a a

d d

dx dx

cos aA a D e

Page 40: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 40

x

V(x

)

0 a0

V(x) = 0 0 x a

V(x) x < 0

Vo

V(x) = Vo x > a

We will first consider the casewhere E < V0.

Region I

I

Region II

II

These equations can be solved analytically to obtain the allowedvalues of the energy, E. However, it’s fairly messy.

I’ll just show you some results obtained by numerical solutionof the Schrödinger Equation.

BC’s: x = a

Boundary Conditions

sinI A x 2

2mE

xII De 02

2mV E

sin aA a De cos aA a D e

Page 41: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 41

0.05 0.30 0.55 0.80 1.05 1.30 1.55 1.80

vals.1

0.0

0.2

0.4

0.6

0.8

1.0

x V

x0.05 0.30 0.55 0.80 1.05 1.30 1.55 1.80

vals.1

0.0

0.2

0.4

0.6

0.8

1.0

x 2 V

2

x

x0.05 0.30 0.55 0.80 1.05 1.30 1.55 1.80

vals.1

-1.0

-0.5

0.0

0.5

1.0

x V

2

x0.05 0.30 0.55 0.80 1.05 1.30 1.55 1.80

vals.1

0.0

0.2

0.4

0.6

0.8

1.0

x 2 V

x0.05 0.30 0.55 0.80 1.05 1.30 1.55 1.80

vals.1

-1.0

-0.5

0.0

0.5

1.0

x V

2

x0.05 0.30 0.55 0.80 1.05 1.30 1.55 1.80

vals.1

0.0

0.2

0.4

0.6

0.8

1.0

x 2 V

This is an arbitrary value of V0

2

0 230

8

hV

ma

2

1 20.9

8

hE

ma

2

2 23.4

8

hE

ma

2

3 27.6

8

hE

ma

Page 42: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 42

x

0.05 0.30 0.55 0.80 1.05 1.30 1.55 1.80

vals.1

-1.1

-0.6

-0.1

0.4

0.9

x V

x

2

0.05 0.30 0.55 0.80 1.05 1.30 1.55 1.80

vals.1

0.0

0.2

0.4

0.6

0.8

1.0

x 2 V

What happened??

Why is the wavefunction so different?

The condition for the earlier solution, E < V0,is no longer valid.

2

0 230

8

hV

ma

2

6 238.2

8

hE

ma

Page 43: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 43

0 a0

Vo

Region I

I

Region II

II

V(x) = 0 0 x a

V(x) x < 0

V(x) = Vo x > a

Region I Region II

E > Vo

2

0 230

8

hV

ma

2

6 238.2

8

hE

ma

22

20

2I

I

dE

m dx

2

2 2

2II I

d mEconst

dx

sin cosI A x B x

22

022II

II II

dV E

m dx

2

02 2

2IIII II

d mE V const

dx

IIconst

sin cosII C x D x

Page 44: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 44

PIB with central barrier: Tunneling

Preliminary: Potential Energy Barriers in Classical Mechanics

V0 = mgh = 1430 J

Bowling Ball

m = 16 lb = 7.3 kgv = 30 mph = 13.4 m/s

h = 20 mKE = ½mv2 = 650 J

Will the bowling ball make it over the hill? Of course not!!

In classical mechanics, a particle cannot get to a position inwhich the potential energy is greater than the particle’s total energy.

Page 45: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 45

x

V(x

)

00

x1

Vo

x2

a

I II III

V(x) x < 0

V(x) = 0 0 x x1

V(x) x > a

V(x) = V0 x1 x x2

V(x) = 0 x2 x a

I’ll just show the Boundary Conditions and graphs of the results.

BC: x=0 BC’s: x=x1 BC’s: x=x2 BC: x=a

(0) 0I ( ) 0III a 1 1( ) ( )I IIx x

1 1

I II

x x

d d

dx dx

2 2( ) ( )II IIIx x

2 2

II III

x x

d d

dx dx

Page 46: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 46

x-0.1 0.1 0.3 0.5 0.7 0.9 1.1

0.0

0.2

0.4

0.6

0.8

1.0

x V

2

x-0.1 0.1 0.3 0.5 0.7 0.9 1.1

vals.1

0.0

0.2

0.4

0.6

0.8

1.0

x 2 V

Note that there is a significant probability of finding the particleinside the barrier, even though V0 > E.

This means that the particle can get from one side of the barrierto the other by tunneling through the barrier.

2

0 220

8

hV

ma

2

1 27.2

8

hE

ma

Page 47: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 47

We have just demonstrated the quantum mechanicalphenomenon called tunneling, in which a particle canbe in a region of space where the potential energy ishigher than the total energy of the particle.

This is not simply an abstract phenomenon, but is known tooccur in many areas of Chemistry and Physics, including:

• Ammonia inversion (the ammonia clock)

• Kinetic rate constants

• Charge carriers in semiconductor devices

• Nuclear radioactive decay

• Scanning Tunneling Microscopy (STM)

Page 48: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 48

Outline

• The Classical Particle in a Box (PIB)

• The Quantum Mechanical PIB

• PIB and the Color of Vegetables

• PIB Properties

• Multidimensional Systems: The 2D PIB and 3D PIB

• Other PIB Models

• The Free Electron Molecular Orbital (FEMO) Model

• Statistical Thermodynamics: Translational contributions to the thermodynamic properties of gases.

Page 49: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 49

Carrots are Orange.

Tomatoes are Red.

But why??

Page 50: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 50

Free Electron Molecular Orbital (FEMO) Model

So, does the solution to the quantum mechanical “particle in a box”serve any role other than to torture P. Chem. students???

Yes!!

To a good approximation, the electrons in conjugatedpolyalkenes are free to move within the confines of the orbital system.

H2CHC

HC

HC

HC CH2

a

Notes: Estimation of the box length, a, will be discussed later.

Each carbon in this conjugated system contributes 1 electron. Thus, there are 6 electrons in the -systemof 1,3,5-hexatriene (above)

Page 51: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 51

Bonding in Ethylene

C C

+ +

- -

C C

+

+-

-

C C

C C

Bonding () Orbital

Anti-bonding (*) Orbital

Maximum electrondensity between C’s

PIB (12)

C CMaximum electrondensity between C’s

Electron densitynode between C’s

PIB (22)

C C

Electron densitynode between C’s

Page 52: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 52

* Transition in Ethylene using FEMO

2

2

1 8ma1h

E

2

2

2 8ma4h

E

h = 6.63x10-34 J•s

m = 9.11x10-31 kg

a = ???

C CR = 0.134 nm

R½R ½R

a = 2R

It is common (although not universal) to assumethat the electrons are free to move approximately½ bond length beyond each outermost carbon.

= 0.268 nm

2 2 2

2 1 2 2 2

4 1 3

8 8 8

h h hE E E

ma ma ma

Page 53: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 53

Calculation of max

= 7.9x10-8 m 80 nm

(exp) = 190 nm

The difficulty with applying FEMO to ethylene is that the resultis extremely sensitive to the assumed box length, a.

234218

2 31 9 2

3 6.63 1032.52 10

8 8(9.11 10 )(0.268 10 )

x J shE x J

ma x kg x m

Units:

22

2 2 2

2 2

kg mJ sJ s s J

kg m kg m

34 8

18

(6.63 10 / )

2.52 10

)(3.00 10phot

hc hc x J m sE E

E x J

s x

Page 54: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 54

Application of FEMO to 1,3-Butadiene

H2CHC

HC CH2

R½R ½RR R

It is common to use R = 0.14 nm (the C-C bond length inbenzene,where the bond order is 1.5) as the average bond length in conjugated polyenes.

2

2

1 8ma1h

E

2

2

2 8ma4h

E

2

2

3 8ma9h

E

L = 3•R + 2•(½R) = 4•R

L = 4•0.14 nm = 0.56 nm

2 2 2

3 2 2 2 2

9 4 5

8 8 8

h h hE E E

ma ma ma

Page 55: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 55

Calculation of max

= 2.07x10-7 m 207 nm

(exp) = 217 nm

2 34 219

2 31 9 2

5 5(6.63 10 )9.62 10

8 8(9.11 10 )(0.56 10 )

h x J sE x J

ma x kg x m

34 8

19

(6.63 10 / )

9.62 10

)(3.00 10phot

hc hc x J m sE E

E x J

s x

Page 56: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 56

Application of FEMO to 1,3,5-Hexatriene

a = 5•R + 2•(½R) = 6•R

a = 6•0.14 nm = 0.84 nm

H2CHC

HC

HC

HC CH2

R½R ½RR RR R

2

2

1 8ma1h

E

2

2

2 8ma4h

E

2

2

3 8ma9h

E

2

2

4 8ma16h

E

E = 5.98x10-19 J

= 332 nm

(exp) = 258 nm

Problem worked out in detail inChapter 3 HW

2 2 2

4 3 2 2 2

16 9 7

8 8 8

h h hE E E

ma ma ma

Page 57: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 57

The Box Length

a = 5•R + 2•(½R) = 6•R

H2CHC

HC

HC

HC CH2

R½R ½RR RR R

Hexatriene

General: a = nb•R + 2•(½R) =(nb+1)•R R = 1.40 Å = 0.14 nm

Page 58: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 58

Outline

• The Classical Particle in a Box (PIB)

• The Quantum Mechanical PIB

• PIB and the Color of Vegetables

• PIB Properties

• Multidimensional Systems: The 2D PIB and 3D PIB

• Other PIB Models

• The Free Electron Molecular Orbital (FEMO) Model

• Statistical Thermodynamics: Translational contributions to the thermodynamic properties of gases.

Page 59: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 59

PIB and the Color of Vegetables

Introduction

The FEMO model predicts that the * absorption wavelength, ,increases with the number of double bonds, #DB

Compound #DB (FEMO)

Ethylene 1 80 nm

Butadiene 2 207

Hexatriene 3 333

roughly

N = # of electron pairsThis is because:

2 2

22

1 1N N nbE

a nbnb

and:1

nbE

Page 60: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 60

Blue Yellow Red

(nm)400 500 600 700

% T

ran

smis

sio

n

Blue Yellow Red

(nm)400 500 600 700

% T

ran

smis

sio

n

If a substance absorbslight in the blue region ofthe visible spectrum, thecolor of the transmitted(or reflected) light will be red.

If a substance absorbslight in the red region ofthe visible spectrum, thecolor of the transmitted(or reflected) light will be blue.

Light Absorption and Color

Page 61: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 61

Conjugated Systems and the Color of Substances

Ethylene 1 190 nm UV

1,3-Butadiene 2 217 UV

1,3,5-Hexatriene 3 258 UV

-Carotene 11 450 Vis.

Lycopene 13 500 Vis.

White light contains all wavelengths of visibleradiation ( = 400 - 700 nm)

If a substance absorbs certain wavelengths,then the remaining light is reflected, givingthe appearance of the complementary color.

e.g. a substance absorbing violet light appears to be yellow in color.

Carrots

Tomatoes

No. of Conj.Molecule Doub. Bonds max Region

Page 62: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 62

Structure of Ground State Butadiene

R(C-C) = 1.53 Å

H2C

CH

HC

CH21.32 Å

1.32 Å1.47 Å

Calculation: HF/6-31G(d) – 1 minute

As well known, there is a degree of electron delocalization betweenthe conjugated double bonds, giving some double bond characterto the central bond.

Page 63: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 63

0 20 40 60 80 100 120 140 160 180

0

5

10

15

20

25

Re

lativ

e E

ner

gy [

kJ/m

ol]

Dihedral Angle [Degrees]

Calculation: HF/6-31G(d) – 37 optimizations – 25 minutes

Potential Energy Surface (PES) of Ground State Butadiene

Minimum at~40o

Page 64: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 64

0 20 40 60 80 100 120 140 160 180

0

5

10

15

20

25R

ela

tive

En

ergy

[kJ

/mol

]

Dihedral Angle [Degrees]

Energy Difference Between Trans and “Cis”-Butadiene

E(cal) = Ecis – Etrans = 12.7 kJ/mol

Experiment

At room temperature (298 K), butadiene is a mixture with approximately97% of the molecules in the trans conformation (and 3% “cis”).

We could get very close to experiment by using a higherlevel of theory.

(exp)Ecis RT

trans

Ne

N

(exp) ln cis

trans

NE RT

N

3 0.03

(exp) (8.31 10 / )(298 )ln 8.6 /0.97

E x kJ mol K K kJ mol

Page 65: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 65

Structure of Excited State Butadiene

H2C

CH

HC

CH21.32 Å

1.32 Å1.47 Å

Ground State: S0

H2C

CH

HC

CH21.41 Å

1.41 Å1.39 Å

Excited State: S1

Page 66: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 66

Structure of Excited State Butadiene

H2C

CH

HC

CH21.32 Å

1.32 Å1.47 Å

Ground State: S0

H2C

CH

HC

CH21.41 Å

1.41 Å1.39 Å

Excited State: S1

HOMO

LUMO

* Transition

Page 67: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 67

Comparison of FEMO and QM Wavefunctions

a

xsinAψ 1

a

x2sinAψ 2

0 L

a

x3sinAψ 3

HOMO

LUMO

Page 68: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 68

Outline

• The Classical Particle in a Box (PIB)

• The Quantum Mechanical PIB

• PIB and the Color of Vegetables

• PIB Properties

• Multidimensional Systems: The 2D PIB and 3D PIB

• Other PIB Models

• The Free Electron Molecular Orbital (FEMO) Model

• Statistical Thermodynamics: Translational contributions to the thermodynamic properties of gases.

Page 69: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 69

Multidimensional Systems: The 2D PIB

The Potential Energy

0 a0

b

x

y

V(x,y) = 0 0 x a and 0 y b

V(x,y) x < 0 or x > a or y < 0 or y > b

Outside of the boxi.e. x < 0 or x > a or y < 0 or y > b

(x,y) = 0

The 2D Hamiltonian:2 2 2

2 2( , )

2H V x y

m x y

The 2D Schr. Eqn.:2 2 2

2 2( , ) ( , ) ( , ) ( , )

2x y V x y x y E x y

m x y

Page 70: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 70

Solution: Separation of Variables

Inside the box:

2 2 2 2

2 22 2 x yH H Hm x m y

V(x,y) = 0 0 x a and 0 y b

The 2D Schr. Eqn.:2 2 2

2 2( , ) ( , ) ( , ) ( , )

2x y V x y x y E x y

m x y

Note: On following slides, I will show how this two dimensionaldifferential equation can be solved by the method of Separation of Variables.

You are NOT responsible for the details of the soution, but only the assumptions and results.

Page 71: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 71

Solution: Separation of Variables

Hx Hy

Inside the box:2 2 2 2

2 22 2 x yH H Hm x m y

( , ) ( , ) ( , )x yH x y H x y E x y

Assume: ( , ) ( ) ( )x y X x Y y

( ) ( ) ( ) ( ) ( ) ( )x yH X x Y y H X x Y y EX x Y y

( ) ( ) ( ) ( ) ( ) ( )x yY y H X x X x H Y y EX x Y y

1 1( ) ( )

( ) ( )x yH X x H Y y EX x Y y

Page 72: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 72

Solution: Separation of Variables

If: f(x) + g(y) = C

then: f(x) = C1 and g(y) = C2

C1 + C2 = C

f(x) g(y) C

=

Ex

=Ey

E = Ex + Ey

Inside the box:2 2 2 2

2 22 2 x yH H Hm x m y

1 1( ) ( )

( ) ( )x yH X x H Y y EX x Y y

2 2 2 2

2 2

1 1

2 2

d X d YE

m X dx m Y dy

Page 73: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 73

=

Ex

=

Ey

2 2 2 2

2 2

1 1

2 2

d X d YE

m X dx m Y dy

2 2

2

1

2 x

d XE

m X dx

Range0 x a

2 2

22 x

d XE X

m dx

2 2

21,2,3,...

8x

x x

n hE n

ma

2( ) sin x

x x

n xX x A A

a a

2 2

2

1

2 y

d YE

m Y dy

Range0 y b

2 2

22 y

d YE Y

m dy

2 2

21,2,3,...

8y

y y

n hE n

mb

2( ) sin y

y y

n yY y A A

b b

E = Ex + Ey( , ) ( ) ( )x y X x Y y

Page 74: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 74

Two Dimensional PIB: Summary

Inside the box:2 2 2 2

2 22 2 x yH H Hm x m y

Assume: ( , ) ( ) ( )x y X x Y y

Range0 x a

2 2

22 x

d XE X

m dx

Range0 y b

2 2

22 y

d YE Y

m dy

2 2

21,2,3,...

8x

x x

n hE n

ma

2( ) sin x

x x

n xX x A A

a a

2 2

21,2,3,...

8y

y y

n hE n

mb

2( ) sin y

y y

n yY y A A

b b

E = Ex + Ey( , ) ( ) ( )x y X x Y y

Page 75: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 75

nx = 1, 2, 3,...ny = 1, 2, 3,...

Range0 x a0 y b

2nx = 1 ny = 1

2

2nx = 2 ny = 1

2

2

nx = 2 ny = 2

2

The Wavefunctions

2 2( , ) ( ) ( ) sin sin yx

x y x y

n yn xx y X x Y y A A A A

a b a b

4( , ) sin sin yx

n yn xx y

ab a b

Page 76: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 76

The Energies: Wavefunction Degeneracy

nx = 1, 2, 3,...ny = 1, 2, 3,...

Square Box

a = b

2

2

8m ah

E

nx ny

1 12

51 2 2 1

g = 1

82 2

g = 1

101 3 3 1

g = 2

132 3 3 2

g = 2

g = 2

22 2 2 2 22

2 2 2 28 8 8yx x x

x y

nn h n h nhE E E

ma mb m a b

2

2 228 x y

hE n n

ma

Page 77: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 77

Application: * Absorption in Benzene

1 1

nx ny

2

5

8

10

13

2 1 1 2

2 2

1 3 3 1

2 3 3 2

E [h

2/8

ma2

]

The six electrons in benzene can be approximated asparticles in a square box.

One can estimate the wavelength of the lowest energy* from the 2D-PIB model (See HW problem)

nx ny

1 12

5

8

10

13

2 1 1 2

2 2

1 3 3 1

2 3 3 2

E [h

2/8

ma2

]

Page 78: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 78

ab

c

V(x,y,z) = 0 0 x a0 y b0 z c

V(x,y,z) Outside thebox

Three Dimensional PIB

2 2 2 2

2 2 2( , , ) ( , , ) ( , , ) ( , , )

2x y z V x y z x y z E x y z

m x y z

2 2 2 2

2 2 2( , , ) ( , , )

2x y z E x y z

m x y z

Page 79: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 79

2 2 2 2

2 2 22 x y zH H H Em x y z

Assume: ( , , ) ( ) ( ) ( )x y z X x Y y Z z

2 2

22 x

XE X

m x

2 2

21,2,3,...

8

( ) sin

2

xx x

xx

x

n hE n

man x

X x Aa

Aa

2 2

22 y

YE Y

m y

2 2

21,2,3,...

8

( ) sin

2

yy y

yy

y

n hE n

mbn y

Y y Ab

Ab

2 2

22 z

ZE Z

m z

2 2

21,2,3,...

8

( ) sin

2

zz z

zz

z

n hE n

mcn z

Z z Ac

Ac

Page 80: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 80

nx = 1, 2, 3, ...ny = 1, 2, 3, ...nz = 1, 2, 3, ...

Cubical Box

a = b = c

Note: You should be able to determine the energy levels and degeneracies for a cubical box and for various ratios of a:b:c

8( , , ) ( ) ( ) ( ) sin sin sinyx z

n yn x n zx y z X x Y y Z z

abc a b c

22 2 2 2 2 2 2 22

2 2 2 2 2 28 8 8 8yx x z x z

x y z

nn h n h n h n nhE E E E

ma mb mc m a b c

2

2 2 228 x y z

hE n n n

ma

Page 81: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 81

Outline

• The Classical Particle in a Box (PIB)

• The Quantum Mechanical PIB

• PIB and the Color of Vegetables

• PIB Properties

• Multidimensional Systems: The 2D PIB and 3D PIB

• Other PIB Models

• The Free Electron Molecular Orbital (FEMO) Model

• Statistical Thermodynamics: Translational contributions to the thermodynamic properties of gases.

Page 82: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 82

Introduction to Statistical Thermodynamics

But this is a Quantum Mechanics course.

Why discuss thermodynamics??

Statistical Thermodynamics is the application of Statistical Mechanicsto predict thermodynamic properties of molecules.

1. The Statistical Thermodynamic formulas used to predict the properties come from the Quantum Mechanical energies for systems such as the PIB, Rigid Rotor (Chap. 4) and Harmonic Oscillator (Chap. 5).

2. Various properties of the molecules, including moments of inertia, vibrational frequencies, and electronic energy levels are required to calculate the thermodynamic properties

Often, these properties are not available experimentally,and must be obtained from QM calculations.

Page 83: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 83

Some Applications of QM/Stat. Thermo.

Molecular Heat Capacities [CV(T) and CP(T)]

Molecular Enthalpies of Formation [Hf]

Reaction Enthalpy Changes [Hrxn]

Reaction Entropy Changes [Srxn]

Reaction Gibbs Energy Changes [Grxn] and Equilibrium Constants [Keq]

Kinetics: Activation Enthalpies [H‡] and Entropies [S‡]

Kinetics: Rate Constants

Bond Dissociation Enthalpies [aka Bond Strengths]

Page 84: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 84

Frequencies -- 1661.9057 .............. ------------------- - Thermochemistry - ------------------- Temperature 298.150 Kelvin. Pressure 1.00000 Atm. Thermochemistry will use frequencies scaled by 0.9540. Atom 1 has atomic number 8 and mass 15.99491 Atom 2 has atomic number 8 and mass 15.99491 Molecular mass: 31.98983 amu. Principal axes and moments of inertia in atomic units: 1 2 3 EIGENVALUES -- 0.00000 41.27885 41.27885 X 0.00000 0.90352 0.42854 Y 0.00000 -0.42854 0.90352 Z 1.00000 0.00000 0.00000 THIS MOLECULE IS A PROLATE SYMMETRIC TOP. ROTATIONAL SYMMETRY NUMBER 2. ROTATIONAL TEMPERATURE (KELVIN) 2.09825 ROTATIONAL CONSTANT (GHZ) 43.720719 Zero-point vibrational energy 9483.1 (Joules/Mol) 2.26653 (Kcal/Mol) VIBRATIONAL TEMPERATURES: 2281.11 (KELVIN)Zero-point correction= 0.003612 (Hartree/Particle) Thermal correction to Energy= 0.005976 Thermal correction to Enthalpy= 0.006920 Thermal correction to Gibbs Free Energy= -0.016348 Sum of electronic and zero-point Energies= -150.022558 Sum of electronic and thermal Energies= -150.020195 Sum of electronic and thermal Enthalpies= -150.019250 Sum of electronic and thermal Free Energies= -150.042518

E (Thermal) CV S KCAL/MOL CAL/MOL-K CAL/MOL-K TOTAL 3.750 5.023 48.972 ELECTRONIC 0.000 0.000 2.183 TRANSLATIONAL 0.889 2.981 36.321 ROTATIONAL 0.592 1.987 10.459 VIBRATIONAL 2.269 0.055 0.008 Q LOG10(Q) LN(Q) TOTAL BOT 0.330741D+08 7.519488 17.314260 TOTAL V=0 0.151654D+10 9.180853 21.139696 VIB (BOT) 0.218193D-01 -1.661159 -3.824960 VIB (V=0) 0.100048D+01 0.000207 0.000476 ELECTRONIC 0.300000D+01 0.477121 1.098612 TRANSLATIONAL 0.711178D+07 6.851978 15.777263 ROTATIONAL 0.710472D+02 1.851547 4.263345

Output from G-98 geom. opt. and frequency calculation on O2 (at 298 K)

QCISD/6-311G(d)

Page 85: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 85

Mini-Outline for Stat. Thermo. Development

• The Boltzmann Distribution

• The Partition Function (Q)

• Thermodynamic properties in terms of Q

• Partition function for non-interacting molecules

• The molecular partition function (q)

• The total partition function for a system of molecules (Q)

• The translational partition function

• Translational contributions to thermodynamic properties

Page 86: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 86

The Boltzmann Distribution

E0

E1

E2

Normalization

Q

e kT

Ei

( )iE

kTip E e

23

23

1.3806 10 /

1.38 10 /

A

Rk x J K

N

x J K

( )iE

kTip E Ae

( ) 1iE

kTi

i i

p E A e

1

iE

kT

i

A e

( )

i i

i

E E

kt kt

i E

kt

i

e ep E

Qe

Therefore:

Boltzmann Distribution

Page 87: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 87

The Partition Function

Q is called the "Partition Function". Thermodynamic properties,including, U, Cv, H, S, A, G, can be calculated from Q.

Alternative Form

One can sum over energy "levels" rather than individual energystates.

gj is the degeneracy of the j’th energy level, Ej

( )

iE

kt

i

ep E

Q

iE

kT

i

Q e

where

( )

iE

ktj

j

g ep E

Q

( )

jE

kTj

j level

Q g e

where

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Slide 88

Thermodynamic Properties from Q: Internal Energy (U)

Derivative at constantV,N because energydepends on volumeand No. of Molecules

iE

kT

i

Q e

( )

iE

kTi

ii i

i

E eU E E p E

Q

, ,

,

ln( ) 1 1

iE

kT

i

V N V N

V N

eQ Q

T Q T Q T

2

,

1 1i

i

EEkT

i kT

i i

V N

Eee

Q T Q kT

2

,

lniE

kT

i i ii iV N

Q eU E kT E E p E

T Q

NOTE: On an exam, you will be provided with any required SM formulafor a thermodynamic property (e.g. the above expression for U)

Page 89: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 89

Thermodynamic Properties from Q: Other Properties

The math involved in relating other thermodynamic propertiesto Q is a bit more involved.

It can be found in standard P. Chem. texts; e.g. Physical Chemistry,by R. A. Alberty and R. J. Silbey, Chap. 17

I'll just give the results.

Constant Volume Heat Capacity:,

VV N

UC

T

Pressure:ln

T

QP kT

V

Entropy: lnU

S k QT

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Slide 90

Thermodynamic Properties from Q: Other Properties

Note: If Q f(V), then H = U

Note: If Q f(V), then G = A

Enthalpy: 2

, ,

ln ln

lnV N T N

Q QH kT kT

T V

Constant Pressure Heat Capacity:,

PP N

HC

T

Helmholtz Energy: lnA U TS kT Q

Gibbs Energy:,

lnln

ln T N

QG H TS kT Q kT

V

NOTE: On an exam, you will be provided with any required SM formulafor a thermodynamic property.

Page 91: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 91

Partition Function for Non-interacting Molecules (aka IDG)

Case A: Distinguishable Molecules

The microstate of molecule 'a' is given by j, of molecule 'b' by k…

, , , ...i a j b k c lE

, , , , , ,...

, , ,... , , ,...

...a j b k c l a j b k c liE

kT kT kT kT kT

i j k l j k l

Q e e e e e

, , ,

...a j b k c l

kT kT kT

j k l

Q e e e

,

... , .a j

kTa b c a

j

Q q q q where q e etc

If the molecules are the same, a b cq q q q

Therefore, for N molecules we have: NQ q

a, b, c, ... designates the moleculei, j, k, ... designates the molecule's set of energies (e.g. trans., rot., vib., ...)

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Slide 92

Partition Function for Non-interacting Molecules (aka IDG)

Case B: Indistinguishable Molecules

In actuality, one cannot distinguish between different molecules in a gas.

Let's say that there is one state in which the quantum numbers formolecule 'a' are m1,n1… and for molecule 'b' are m2,n2…

This state is the same as one in which the quantum numbers formolecule 'a' are m2,n2… and for molecule 'b' are m1,n1…

However, the two sets of quantum numbers above would give twoterms in the above equation for Q. i.e. we've overcounted thenumber of terms.

It can be shown that the overcounting can be eliminated by dividingQ by N! (the number of ways of permuting N particles). Therefore,

Indistinguishable Molecules:!

NqQ

N

Distinguishable Molecules: NqQ NQ q

Page 93: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 93

The Molecular Partition Function (q)

To a good approximation, the Hamiltonian for a molecule canbe written as the sum of translational, rotational, vibrational andelectronic Hamiltonians:

Therefore, the molecule's total energy (i) is the sum of individualenergies:

tran rot vib electH H H H H

tran rot vib electi j k l m

The partition function is:tran rot vib elect tran rot vib electj k l m ji k l m

kT kT kT kT kT kT

i j k l m j k l m

q e e e e e e

.

tran rot vib electj k l m

kt kt kt kt

j k l m

q e e e e

, .

tranj

tran rot vib elect tran kt

j

q q q q q where q e etc

Page 94: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 94

The Total Partition Function (Q)

It can be shown that the term,1/N! belongs to Qtran

!

NqQ

N tran rot vib electq q q q q

!

Ntran rot vib electq q q qQ

N

!

NtranN N Nrot vib elect

qQ q q q

N tran rot vib electQ Q Q Q

!

Ntran

tran

Nrot rot

Nvib vib

Nelect elect

qQ

N

Q q

Q q

Q q

Page 95: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 95

Thermodynamic Properties of Molecules

The expressions for the thermodynamic properties all involve lnQ; e.g.

tran rot vib electQ Q Q Q Q

2 2

,,

lnlntran rot vib elect

V NV N

Q Q Q QQU kT kT

T T

2 2 2 2

, , , ,

ln ln ln lntran rot vib elect

V N V N V N V N

Q Q Q QU kT kT kT kT

T T T T

tran rot vib electU U U U U

where 2

,

ln, .

trantran

V N

QU kT etc

T

Similarly

etc.

tran rot vib electV V V V VC C C C C

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Slide 96

The Translational Partition Function for an Ideal Gas

Consider that the molecules of a gas are confined in a cubical boxof length 'a' on each side.*

*One gets the same result if the box is not assumed to be cubical, with a bit more algebra.

The energy levels are given by: 2

2 2 2, , 28x y zn n n x y z

hE n n n

ma

The molecular translational partition function is:

2

2 2 222 22

28

21 1 1 1 1 1

,8

trani

x y zyx z

x y z x y z

hE n n n nn ntran makT

i n n n n n n

hq e e e e e

ma kT

22 2 2

3

1 1 1 1

yx z

x y z

nn ntran n

n n n n

q e e e e

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Slide 97

One can show that the summand (term in summation) is an extremelyslowly varying function of n.

For example, for O2 [M = 32x10-3 kg/mol] in a 10 cm (0.1 m) box at 298 K:

n Δ[Expon]

1 8x10-20

106 5x10-14

1012 5x10-8

This leads to an important simplification in the expression for qtran.

2

3 2

21 8

tran n

n

hq e

ma kT

220

22.5 10

8

hx

ma kT 2 21 2 1Expon n n n

The extremely slowly changing exponentresults from the fact that:

is the change in energy betweensuccessive quantum levels.

1 or kTkT

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Slide 98

1 2 3 4 5 6 7 8

ni

f(ni)

Relation between sum and integral for slowly varying functions

If f(ni) is a slowly varying function of ni, then one may replacethe sum by the integral:

22

11

( ) ( )n

n

i ni n

f n f n dn

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Slide 99

2/1

0 42

12

dxe x

V is the volume of the box

Note: The translation partition function is the only one which depends upon the system’s volume.

2 2

3 23

201 8

tran n n

n

hq e e dn

ma kT

3/23 3/21/2 3/22

32 22

2

2 2

4 48

tran ma kT mkTq a

h hhma kT

3/2

2

2tran mkTq V

h

Page 100: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 100

This is the translational partitition functionfor a single molecule.

A note on the calculation of V (in SI Units)

One is normally given the temperature and pressure, from whichone can calculate V from the IDG law.

One should use the pressure in Pa [1 atm. = 1.013x105 Pa],in which case V is given in m3 [SI Units]

3/2

2

2tran mkTq V

h

R = 8.31 J/mol-K = 8.31 Pa-m3/mol-KnRT

VP

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Slide 101

Calculate qtran for one mole of O2 at 298 K and 1 atm.NA = 6.02x1023 mol-1

h = 6.63x10-34 J-sk = 1.38x10-23 J/KR = 8.31 Pa-m3/mol-KM = 32 g/mol1 J = 1 kg-m2/s2

1 atm. = 1.013x105 Pa

3/2

2

2tran mkTq V

h

326

23 1

32 10 /5.32 10

6.02 10A

M x kg molm x kg

N x mol

3

5

(1 )(8.31 / )(298 )

1.013 10

nRT mol Pa m mol K KV

P x Pa

2 32.45 10V x m

3/226 23

2 3234

2(3.14)(5.32 10 )(1.38 10 / )(298 )2.45 10

6.63 10

tran x kg x J K Kq x m

x J s

3/221 2 2 3 303.13 10 2.45 10 4.28 10tranq x m x m x

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Slide 102

------------------- - Thermochemistry - ------------------- Temperature 298.150 Kelvin. Pressure 1.00000 Atm.  Q LOG10(Q) LN(Q) TOTAL BOT 0.330741D+08 7.519488 17.314260 TOTAL V=0 0.151654D+10 9.180853 21.139696 VIB (BOT) 0.218193D-01 -1.661159 -3.824960 VIB (V=0) 0.100048D+01 0.000207 0.000476 ELECTRONIC 0.300000D+01 0.477121 1.098612 TRANSLATIONAL 0.711178D+07 6.851978 15.777263 ROTATIONAL 0.710472D+02 1.851547 4.263345

G-98 Output

3/226 23

2 3 30234

2(3.14)(5.32 10 )(1.38 10 / )(298 )2.45 10 4.28 10

6.63 10

tran x kg x J K Kq x m x

x J s

Units:

3/23/2

3 3 32 2 2 2 2 2

( / )

/ ( )tran kg J K K kg kg

q m m mJ s J s kg m s s

3/22 3 1 ( )m m Unitless

Their output is actuallyqtran / NA

306

23

4.28 107.13 10

6.02 10

tran

A

q xx

N x

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Slide 103

Partition Function for a system with N (=nNA) molecules

This is the translational partitition functionfor a single molecule.

3/2

2

2tran mkTq V

h

Stirling’s Approximation

NN eNN !

!

Ntran

tranq

QN

NN tran

NtranN

e q eq

N N

3/2

2

2N

Ntrantran

mkTV e

q e hQ

N N

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Slide 104

This is an extremely large number.

However, as we’ll see shortly, ln(Q) is multiplied by the very smallnumber (k) in the thermodynamics formulas.

Calculate ln(Qtran) for one mole of O2 at 298 K and 1 atm.

qtran = 4.28x1030

3/2

2

2N

Ntrantran

mkTV e

q e hQ

N N

ln ln lnNtran tran

tranA

q e q eQ nN

N N

30

23 1 25

23 1

(4.28 10 )(2.72)1 6.02 10 ln 1.01 10

1 6.02 10

xmol x mol x

mol x mol

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Slide 105

Translational Contributions to the Thermodynamic Properties of Ideal Gases

Preliminary

3/2

2

2N

Ntrantran

mkTV e

q e hQ

N N

23 3ln ln 2 / ln ) ln ln

2 2tranQ N mk h N T N V N N N

Page 106: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 106

The Ideal Gas Equation

Notes: (1) Because none of the other partition functions (rotational, vibrational, or electronic) depend on V, they do not contribute to the pressure.

(2) We end up with the IDG equation because we assumed that the molecules don’t interact when we assumed that the total energy is the sum of individual molecules’ energies.

23 3ln ln 2 / ln ) ln ln

2 2tranQ N mk h N T N V N N N

ln trantran

T

QP P kT

V

(because R = kNA)AnNN nRTP kT kT

V V V

PV nRT

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Slide 107

Internal Energy

This demonstrates the Principle of Equipartition of TranslationalInternal Energy (1/2RT per translation)

It arose from the assumption that the change in the exponentis very small and the sum can be replaced by an integral.

This is always true for translational motions of gases.

23 3ln ln 2 / ln ) ln ln

2 2tranQ N mk h N T N V N N N

2

,

ln trantran

V N

QU kT

T

2 3

2

NkT

T

3

2 AnN kT

3

2tranU nRT or

Molar Internal Energy

3

2

trantran U

U RTn

Page 108: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 108

Enthalpy

Note: As noted earlier, if Q is independent of V, then H = U.

This is the case for all partition functions except Qtran

23 3ln ln 2 / ln ) ln ln

2 2tranQ N mk h N T N V N N N

2

, ,

ln ln

ln

tran trantran

V N T N

Q QH kT kT

T V

,

ln

ln

trantran

T N

QU kT

V

3

2tranH nRT kTN

3

2 AnRT kTnN 3

2nRT nRT

5

2tranH nRT or

Molar Enthalpy

5

2

trantran H

H RTn

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Slide 109

Heat Capacities

Experimental Heat Capacities at 298.15 K

Compd. CP (exp)

Ar 20.79 J/mol-K

O2 29.36

SO3 50.67

3

2tranU RT

5

2tranH RT

,

312.47 /

2

tran trantran VV

V N

C UC R J mol K

n T

,

520.79 /

2

tran trantran PP

P N

C HC R J mol K

n T

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Slide 110

E (Thermal) CV S KCAL/MOL CAL/MOL-K CAL/MOL-K TOTAL 3.750 5.023 48.972 ELECTRONIC 0.000 0.000 2.183 TRANSLATIONAL 0.889 2.981 36.321 ROTATIONAL 0.592 1.987 10.459 VIBRATIONAL 2.269 0.055 0.008 Q LOG10(Q) LN(Q) TOTAL BOT 0.330741D+08 7.519488 17.314260 TOTAL V=0 0.151654D+10 9.180853 21.139696 VIB (BOT) 0.218193D-01 -1.661159 -3.824960 VIB (V=0) 0.100048D+01 0.000207 0.000476 ELECTRONIC 0.300000D+01 0.477121 1.098612 TRANSLATIONAL 0.711178D+07 6.851978 15.777263 ROTATIONAL 0.710472D+02 1.851547 4.263345

Output from G-98 geom. opt. and frequency calculation on O2 (at 298 K)QCISD/6-311G(d)

Utran(mol) = 3/2RT = 3.72 kJ/mol = 0.889 kcal/mol

CVtran(mol) = 3/2R = 12.47 J/mol-K = 2.98 cal/mol-K

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Slide 111

ln(Qtran) = 1.01x1025 mol-1

Earlier, we showed that for one mole of O2 at 298 K and 1 atm.,

O2: Smol(exp) = 205.14 J/mol-K at 298.15 K

Entropy3/2

2

2N

Ntrantran

mkTV e

q e hQ

N N

lntran

tran tran US k Q

T

23 25 1

38.31 /

21.38 10 / 1.01 10tranJ mol K T

S x J K x molT

139.38 12.47 151.85 /tranS J mol K

Page 112: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 112

E (Thermal) CV S KCAL/MOL CAL/MOL-K CAL/MOL-K TOTAL 3.750 5.023 48.972 ELECTRONIC 0.000 0.000 2.183 TRANSLATIONAL 0.889 2.981 36.321 ROTATIONAL 0.592 1.987 10.459 VIBRATIONAL 2.269 0.055 0.008 Q LOG10(Q) LN(Q) TOTAL BOT 0.330741D+08 7.519488 17.314260 TOTAL V=0 0.151654D+10 9.180853 21.139696 VIB (BOT) 0.218193D-01 -1.661159 -3.824960 VIB (V=0) 0.100048D+01 0.000207 0.000476 ELECTRONIC 0.300000D+01 0.477121 1.098612 TRANSLATIONAL 0.711178D+07 6.851978 15.777263 ROTATIONAL 0.710472D+02 1.851547 4.263345

Output from G-98 geom. opt. and frequency calculation on O2 (at 298 K)QCISD/6-311G(d)

G-98: Smoltran = 36.321 cal/mol-K = 151.97 J/mol-K

Difference is round-off error and less Sig. Figs. in our calculation.

Our Calculation (above): Smoltran = 151.85 J/mol-K

Page 113: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 113

Helmholtz Energy ln(Qtran) = 1.01x1025 mol-1

For O2 at 298 K(one mol):

Gibbs Energy

For O2 at 298 K(one mol):

Note: As noted before, if Q is independent of V, then G = A.

This is the case for all partition functions except Qtran

lntran tran tran tranA U TS kT Q

23 25 11.38 10 / 298 1.01 10tranA x J K K x mol

44.154 10 / 41.54 /tranA x J mol kJ mol

,

lnln

ln

trantran tran tran tran

T N

QG H TS kT Q kT

V

ln trankT Q NkT A nRT

4

4

4.154 10 / (8.31 / )(298 )

3.906 10 / 39.06 /

tranG x J mol J mol K K

x J mol kJ mol

Page 114: Slide 1 Chapter 3 Particle-in-Box (PIB) Models. Slide 2 Carrots are Orange. Tomatoes are Red. But Why?

Slide 114

Frequencies -- 1661.9057 .............. ------------------- - Thermochemistry - ------------------- Temperature 298.150 Kelvin. Pressure 1.00000 Atm. Thermochemistry will use frequencies scaled by 0.9540. Atom 1 has atomic number 8 and mass 15.99491 Atom 2 has atomic number 8 and mass 15.99491 Molecular mass: 31.98983 amu. Principal axes and moments of inertia in atomic units: 1 2 3 EIGENVALUES -- 0.00000 41.27885 41.27885 X 0.00000 0.90352 0.42854 Y 0.00000 -0.42854 0.90352 Z 1.00000 0.00000 0.00000 THIS MOLECULE IS A PROLATE SYMMETRIC TOP. ROTATIONAL SYMMETRY NUMBER 2. ROTATIONAL TEMPERATURE (KELVIN) 2.09825 ROTATIONAL CONSTANT (GHZ) 43.720719 Zero-point vibrational energy 9483.1 (Joules/Mol) 2.26653 (Kcal/Mol) VIBRATIONAL TEMPERATURES: 2281.11 (KELVIN)Zero-point correction= 0.003612 (Hartree/Particle) Thermal correction to Energy= 0.005976 Thermal correction to Enthalpy= 0.006920 Thermal correction to Gibbs Free Energy= -0.016348 Sum of electronic and zero-point Energies= -150.022558 Sum of electronic and thermal Energies= -150.020195 Sum of electronic and thermal Enthalpies= -150.019250 Sum of electronic and thermal Free Energies= -150.042518

Output from G-98 geom. opt. and frequency calculation on O2 (at 298 K)

QCISD/6-311G(d)

These are thermal contributionsto U, H and G.

They represent the sum of thetranslational, rotational, vibrationaland (in some cases) electroniccontributions.

They are given in atomic units (au).1 au = 2625.5 kJ/mol

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Slide 115

Translational Contributions to O2 Entropy

0 1000 2000 3000 4000 5000100

150

200

250

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Temperature [K]

Obviously, there are significant additional contributions(future chapters)

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Translational Contributions to O2 Enthalpy

Obviously, there are significant additional contributions(future chapters)

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Slide 117

Translational Contributions to O2 Heat Capacity

Obviously, there are significant additional contributions(future chapters)

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Temperature [K]