statistical-mechanics-chemistry

Layer 2 — Chemistry24 concepts in this subtree

Statistical mechanics at the chemistry grain — partition functions, ensembles, and Monte Carlo methods applied to chemical systems. Distinct from L1:statistical-mechanics at the physics grain: here the emphasis is on chemical-specific…

Boltzmann distribution: N_i/N = g_i exp(-E_i/kT) / Z (equilibrium populations)
Equipartition: ⟨(1/2) k T⟩ per classical quadratic DoF; γ = 1 + 2/f
QHO partition function: Z = 1/(2 sinh(β ℏω/2)) per normal mode
ΔE=kT log(2) ⇒ N₂/N₁ = 1/2, log ratio = -log(2) (one-bit population split)
Equipartition: monatomic ⟨U⟩/NkT = 3/2, C_V/Nk = 3/2, γ = 5/3; diatomic γ = 7/5
QHO Z = 1/(2 sinh(βℏω/2)) ≡ exp/geom form; βℏω=log 4 ⇒ Z = 2/3
Canonical ensemble (NVT)
Grand canonical ensemble (μVT)
Virial equation of state
Mayer cluster expansion
Fluctuation-dissipation theorem
Monte Carlo (Metropolis algorithm)
Partition function (Boltzmann)
FEP (Zwanzig 1954)
Metropolis Monte Carlo (1953)
OZ + closures (Hansen-McDonald)
Kirkwood-Buff (1951)
Jarzynski equality (1997)
Boltzmann H-theorem (1872)
Gibbs ensemble (1902)
Kramers (1940)
Metropolis MC (1953)
MD (Alder-Wainwright 1957)
Car-Parrinello (1985)
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