双语化学辞典Chem Lexicon
理论 · 量子化学与理论 · 统计力学 Quantum & theoretical chemistry · Statistical mechanics

统计热力学Statistical mechanics

拼音Pinyin tǒng jì rè lì xué 别名Also 统计力学;统计物理;statistical thermodynamics; statistical physics

定义Definition

统计热力学是用概率统计方法,从大量微观粒子的力学性质(能级、相互作用)出发推导宏观热力学性质(温度、压强、熵、自由能、热容)的学科。它是连接微观分子世界与宏观热力学的桥梁。

Statistical mechanics uses probability and statistics to derive macroscopic thermodynamic properties, temperature, pressure, entropy, free energy and heat capacity, from the mechanical properties of vast numbers of microscopic particles, their energy levels and interactions. It is the bridge between the molecular world and macroscopic thermodynamics.

基本思想Basic ideas

宏观状态对应大量微观状态,体系的平衡态是微观状态数 W 最多的状态,熵 S = k·ln W。吉布斯系综方法考虑大量处于相同宏观条件下的体系副本:微正则系综(N、V、E 固定)、正则系综(N、V、T 固定)和巨正则系综(μ、V、T 固定)。经典粒子服从玻尔兹曼统计,量子粒子中费米子服从费米-狄拉克统计(电子),玻色子服从玻色-爱因斯坦统计(光子、⁴He)。

A macrostate corresponds to vast numbers of microstates, and equilibrium is the macrostate with the most microstates W, with entropy S = k·ln W. Gibbs's ensemble method considers many copies of a system under the same macroscopic conditions: microcanonical (fixed N, V, E), canonical (fixed N, V, T) and grand canonical (fixed μ, V, T). Classical particles follow Boltzmann statistics, while quantum fermions such as electrons follow Fermi–Dirac statistics and bosons such as photons and ⁴He follow Bose–Einstein statistics.

由来Origin

19 世纪中叶克劳修斯和麦克斯韦发展了气体分子运动论。玻尔兹曼在 1870 年代建立统计解释,遭到马赫、奥斯特瓦尔德等人的强烈反对,他在 1906 年自杀,两年后佩兰的布朗运动实验证实了原子的存在。1902 年吉布斯出版《统计力学基本原理》,系统建立了系综理论。1924–1926 年玻色、爱因斯坦、费米和狄拉克建立了量子统计。

Clausius and Maxwell developed the kinetic theory of gases in the mid-nineteenth century. Boltzmann built the statistical interpretation in the 1870s against fierce opposition from Mach, Ostwald and others; he took his own life in 1906, two years before Perrin's Brownian-motion experiments confirmed the existence of atoms. Gibbs's Elementary Principles in Statistical Mechanics (1902) set out ensemble theory systematically, and Bose, Einstein, Fermi and Dirac founded quantum statistics in 1924–26.

化学应用Applications in chemistry

统计热力学用于从光谱数据计算气体的熵、热容和平衡常数;解释固体热容的爱因斯坦模型和德拜模型;推导理想溶液和正规溶液理论、朗缪尔吸附等温式;高分子链构象统计(弗洛里);过渡态理论和反应速率;以及分子模拟(分子动力学和蒙特卡罗方法)的理论基础。

Statistical mechanics computes gas entropies, heat capacities and equilibrium constants from spectroscopic data; explains the Einstein and Debye models of solid heat capacity; derives ideal- and regular-solution theory and the Langmuir isotherm; underlies Flory's statistics of polymer chain conformations, transition-state theory and reaction rates; and provides the theoretical basis of molecular simulation by molecular dynamics and Monte Carlo methods.

反应Reactions

S = k·ln WA = −kT·ln Qp = kT(∂lnQ/∂V)_T

微观状态数与配分函数连接宏观量。

Microstate counts and partition functions connect to macroscopic quantities.

单原子理想气体:C_V = (3/2)RAtom: C_V = (3/2)R

由平动配分函数导出

Derived from the translational partition function

年表Timeline

  • 1860

    麦克斯韦速率分布

    Maxwell's speed distribution

  • 1877

    玻尔兹曼熵公式 S = k ln W

    Boltzmann's entropy formula S = k ln W

  • 1902

    吉布斯系综理论

    Gibbs's ensemble theory

  • 1907

    爱因斯坦固体热容理论

    Einstein's theory of solid heat capacity

  • 1926

    费米-狄拉克统计

    Fermi–Dirac statistics

相关公式Formulas

玻尔兹曼分布 Boltzmann distribution→
\[\frac{N_i}{N} = \frac{g_i\,e^{-\varepsilon_i/k_\mathrm{B}T}}{q},\qquad \frac{N_j}{N_i} = \frac{g_j}{g_i}\,e^{-(\varepsilon_j - \varepsilon_i)/k_\mathrm{B}T}\]
例题Worked example

振动能级间隔 1000 cm⁻¹ 时,298 K 下 N₁/N₀ = e^(−1000/207) = 0.008:几乎所有分子处于振动基态。

For a 1000 cm⁻¹ vibration, N₁/N₀ = e^(−4.83) = 0.008 at 298 K: nearly all molecules are in v = 0.

分子配分函数 Molecular partition function→
\[q = \sum_i g_i\,e^{-\varepsilon_i/k_\mathrm{B}T},\qquad q = q_\text{trans}\,q_\text{rot}\,q_\text{vib}\,q_\text{el}\]
由配分函数求热力学函数 Thermodynamic functions from the partition function→
\[U - U_0 = k_\mathrm{B}T^2\left(\frac{\partial\ln Q}{\partial T}\right)_V,\quad A - A_0 = -k_\mathrm{B}T\ln Q,\quad S = \frac{U - U_0}{T} + k_\mathrm{B}\ln Q\]
由配分函数计算平衡常数 Equilibrium constants from partition functions→
\[K = \prod_\mathrm{J}\left(\frac{q_{\mathrm{J},m}^\circ}{N_A}\right)^{\nu_\mathrm{J}}e^{-\Delta_rE_0/RT}\]
例题Worked example

同位素交换 H₂ + D₂ ⇌ 2HD:高温极限 K → 4(对称数比),实际 298 K 约 3.3(零点能差)。

H₂ + D₂ ⇌ 2HD: K → 4 at high T (symmetry numbers), ≈ 3.3 at 298 K (ZPE).