MSEG 803 Equilibria in Material Systems 7: Statistical Interpretation of S Prof. Juejun (JJ) Hu

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Presentation transcript:

MSEG 803 Equilibria in Material Systems 7: Statistical Interpretation of S Prof. Juejun (JJ) Hu

Thermal interactions: heat transfer Thermal interactions (heat transfer/diabatic interactions): the energy levels remain unchanged The relative number of systems in the ensemble which are distributed over the fixed energy levels is modified mental copies of macroscopically identical systems E  3 22  

Mechanical interactions: work Mechanical interactions (work/adiabatic interactions): the energy levels are modified due to change of external parameters (some state functions, e.g. volume, magnetic field, etc.) 300 E  3 22   mental copies of macroscopically identical systems

General interactions Ensemble average of system energy: First law of TD: Quasi-static work: Mean generalized force: Heat: population distribution change Work: energy level change

Example: particle in a box Energy levels: Heat transfer: population distribution over levels changes, i.e. the “box” is held unchanged and only the quantum numbers n x, n y, and n z change Mechanical work: dimension change of the “box” leading to modification of the energy levels where n x and n y are integers (quantum numbers)

Example: ideal gas DOS: U, T, V U + dU, T + dT, V U + dU, T + dT, V + dV Heat transfer Mechanical work

Equilibrium condition in isolated systems DOS of a composite isolated system consisting of sub-systems: x i : external parameters y i : internal constraints (usually extensive variables of sub-systems) Example: ideal gas in a cylinder with a partition  Internal constraint y: mole number in the sub-systems  Accessible states only include those satisfy the constraint, i.e. all gas molecules have to reside on the left side of the partition N, V i

Equilibrium condition in isolated systems Removal of constraint(s) leads to increased (or possibly unchanged) number of accessible states and re-distribution of some extensive parameter(s) Probability of the system remaining in the constrained states: Example: ideal gas in a cylinder with a partition  Accessible states now include all states where gas molecules are free to distribute in the entire cylinder N, V i Remove constraint N, V f > V i

Equilibrium condition in isolated systems Probability of parameter y taking the value between y and y + dy If some constraints of an isolated system are removed, the parameters of the system tend to re-adjust themselves in such a way that  approaches maximum: N 1, V 1 N 2, V 2

Fluctuations Random deviations from statistical mean values Exceedingly small in macroscopic systems Fluctuations can be significant in nanoscale systems A transistor (MOSFET) with a gate length of 50 nm contains only ~ 100 electrons on average in the channel. Fluctuation of one single electron can lead to 40% change of channel conductance! From Transport in Nanostructures by D. Ferry and S. Goodnick

Statistical interpretation of entropy The function S has the following property: the values assumed by the extensive parameters in the absence of an internal constraint are those that maximize S over the manifold of constrained equilibrium states. Entropy: An isolated system tends to evolve towards a macroscopic state which is statistically most probable (i.e. a macroscopic state corresponding to the maximum number of microscopic accessible states)

Thermal equilibrium Two sub-systems separated by a rigid, diathermal wall Apply the maximum principle of  A A B B Isolated composite system QQ

Partition of energy f: degrees of freedom (DOF) of a system The average energy per degree of freedom is ~ 0.5kT Equipartition theorem of classical mechanics: the mean value of each independent quadratic term in energy (DOF) is E 0 : ground state energy

Dependence of DOS on external parameters  as a function of volume  as a function of extensive parameter x of the system q p E E + dE where y is the conjugate intensive variable of the system

The 3 rd law of thermodynamics At absolute zero (T = 0 K), the system is “frozen” into its quantum mechanical ground state where  is the degeneracy of the ground state The Third Law of Thermodynamics by Katharine A. Cartwright (2010) watercolor on paper 26" x 20”

Connections between TD and statistical mechanics Thermodynamics First law of TD: Second law of TD: in isolated systems Third law of TD: i.e. when Statistical mechanics First law of TD: Second law of TD: in isolated systems Third law of TD: System is frozen in its ground state when T = 0 i.e.