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    Statistical Thermodynamics

    Thermodynamics

    (Bulk Properties)

    Quantum Mechanics

    Molecular structure,Spectroscopy

    (individual properties)

    StatisticalThermodynamics

    Wave

    function

    Partition

    function

    Theories of Reaction Rates

    bridge between microscopic properties and macroscopic reaction rate:result of many

    microscopic collisionsCollision Theory based on kinetic theory fraction of collisions that are effective in

    causing reaction

    Transition-State Theory based on stat. mech. probability that a special state (transition

    state) is occupied)

    reaction dynamics, potential energy surfaces

    Goal of Statistical Mechanics: describe macroscopic bulk Thermodynamic

    properties in terms of microscopic atomic and molecular properties.

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    Calculation ofProperties

    Statistical Mechanics describes macroscopic bulk Thermodynamic properties in terms of microscopic atomic and

    molecular properties. These microscopic properties are generally measured by spectroscopy.

    Macroscopic: U, H, A, G, S, , p, V, T, CV, Cp

    Microscopic: N particle monatomic gas

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    Calculation of macroscopic properties

    How d o w e calculate a macroscopic p roper ty, which is co nstant in t ime, from

    a microscop ic prop erty that f luc tuates in t ime?Example: Pressure, which is a macroscopic property that arises from the microscopic

    impulses of each molecule impacting the vessel's walls. The positions and velocities of

    each molecule change on 10-1010-13s time scale (the duration of a collision)!

    Alternative: Ensemble Average !

    ENSEM LES An ensemble is a collection of all microstates of a system, consistent with the

    constraints with which we characterize a system macroscopically.

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    Distribution of molecular states

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    ENSEM LES An ensemble is a collection of all

    microstates of a system, consistent with theconstraints with which we characterize a system

    macroscopically.

    For example, a collection of all possible states of

    the 1023molecules of gas in the container of volume

    V temperature T is a statistical mechanicalensemble.

    MICROCANONICAL ENSEMBLE: CONSTANT U,V,N

    CANONICAL ENSEMBLE: CONSTANT N,V,T

    Statistical Ensembles

    GRAND CANONICAL ENSEMBLE: CONSTANT ,V,T

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    Distribution of molecular states

    Let, N no. of particles is distributed in various energy lavels.

    No. of molecules: n0 n1 n2 n3 .... In Energy levels: E0 E1 E2 E3.Then, instantaneous configuration: {n0, n1, n2, n3, ...}

    i in

    N

    nnn

    NW

    !

    !

    !!!

    !

    210

    No. of ways it happens,

    Weight of the

    Configuration (W):

    Examples:

    For {5,0,0}: W = 1

    For {3,2,0}: W = 10

    (shown in fig.)

    Most Probable configuration has the highest W.

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    For system containing a large no. of units

    (macroscopic system) , one configuration will

    have vastly more associated permutations than

    any other configuration. This configuration will

    be the only one that is observed to an

    appreciable extent.

    j jWiW

    iP

    Specification of state of the system

    tossing of coin

    Describing the outcome of each experiment

    10100

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    The most probable / dominating distribution

    i ii ii nNEnE ,

    Most probable distribution

    have largest W

    For Constant E and N:

    Boltzmann Distribution:

    /kT

    i

    E

    ePi

    Pi: fraction of molecule in state i W = 181180 858 78 12870

    = N! / (N1! N2! )

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    Probability of microstates

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    Probability of microstates

    The probability of each microstate in the canonical ensemble (constant N,V, T )

    is proportional to the exponential of the energy divided by the temperature.

    In order to find the absolute probability of each microstate, we need to make

    sure that the sum of all the probabilities is one. The normalization constant

    for this is called the "canonical partition function," Q.

    The summation over microstates is performed over all energies andparticle positions.

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    Partition function

    Once the partition function is defined, the probability of each microstate can

    now be written explicitly:

    Therefore, in the canonical ensemble, a general property F is given by

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    The ensemble average

    functionpartitioncanonicalthe

    /;

    :;/1 Z

    kTi

    EeZ

    Z

    iE

    eP

    kT

    ii

    i iAiPAA:ApropertyanyofAverage

    At T = 0, Ei/kT = => Z= 1

    At very large T, Ei/kT = 0 => Z 1+ 1+. = At intermediate T (let kT >> E1, E2) => Z~ 1+ 1+ 1 +0 +. = 3

    1i iPClearly,

    Z gives the number of thermally accessible states at the temperature of

    interest.

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    The Partition Function, examples

    Vibrational:

    Zv= 1 / [1exp(- h/kT)]

    kTE

    ekTE

    ekTE

    e

    i

    kTi

    EeZ

    /2

    /1

    /0

    /

    Z

    iE

    e

    iP

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    The Partition Function, examples

    Vibrational:

    Zv= 1 / [1exp(- h/kT)]

    Translational:

    ZT= (2mkT)3/2V / h3

    Rotational:

    ZR= kT / hB, : symmetry no.= 1 for unsymm. Lin. Rotor (HCl)

    = 2 for symm. Lin. Rotor (H2, CO2)

    Electronic:ZE is no t available in closed form

    Molecular:

    Z = ZTZRZVZEZS

    kTE

    ekTE

    ekTE

    e

    i

    kTi

    EeZ

    /2

    /1

    /0

    /

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    Thermodynamic properties

    Z

    eE

    Epi

    U i

    iE

    i

    ii

    Internal Energy:

    BNVi

    iE

    BNVBNVi

    iE

    iE

    ei

    Ze

    eE

    i

    Since

    ,,,

    ,

    BNVBNVBNV T

    ZkT

    ZZ

    ZU

    ,

    2

    ,,

    lnln1

    Pressure: iiPpi

    P

    B

    B

    Nii

    irev

    Ni

    VEP

    dVPdw

    dVVEdU

    )/(

    adiabatic)e(reversibl

    )/(

    BNTBNT V

    Z

    V

    Z

    ZP

    ,,

    ln11

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    Thermodynamic properties

    BCNVTB

    B

    BNV

    BNT

    eZ

    N

    ZRT

    ZkTA

    ZkTUS

    T

    ZkTU

    V

    ZP

    i

    Ei

    ,,

    ,

    2

    ,

    ln

    ln

    ln/

    ln

    ln1