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2: Statistical Mechanics

  • Page ID
    540240
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    • 2.1: Microcanonical and Canonical Ensembles
      Statistical thermodynamics (statistical mechanics) is our connection between the microscopic behavior and properties of matter and macroscopic thermodynamic behavior. In this section we introduce the concept of an ensemble and two specific examples of ensembles. Ensembles are used to develop the statistical connections between microscopic and macroscopic behavior. As examples we will look at entropy and the probability of a system having a particular energy (the canonical distribution).
    • 2.2: Statistical Thermodynamic Functions
      This section derives expressions for internal energy (U), entropy (S), Helmholtz free energy (A), pressure (P), enthalpy (H) and Gibbs free energy (G) in terms of the canonical partition function. Calculation of numerical values using these expressions is discussed elsewhere.
    • 2.3: Microconanonical (q molecular) Versus Canonical (Q) Partition Functions
    • 2.4: From Quantum States to Partition Functions
    • 2.5: Derivation of Ideal Gas Law
    • 2.6: The Gaussian Distribution of One Component of the Molecular Velocity
      This section derives the velocity distribution in one dimension from the statistical mechanical distribution of translational energies (Boltzmann distribution). The calculation of average velocity in the x-direction shows a zero average due to symmetry, while the average speed is non-zero. The one dimensional velocity distribution is a symmetric Gaussian centered on a velocity of zero. This contrasts with the three dimensional molecular speed distribution which is asymmetric.
    • 2.7: The Maxwell-Boltzmann Distribution of Molecular Speeds in 3 Dimensions
      This page describes the relation of the Boltzmann distribution to molecular velocity in gases. The derivation of the Maxwell-Boltzmann speed distribution from the Boltzmann distribution is explained. How temperature influences molecular speeds, resulting in a broader distribution as energy increases is discussed. The derivation of average speeds, including \(\langle v \rangle\), most probable speed, and \(v_{rms}\), is discussed, highlighting the effect of mass on speed.
    • 2.8: Intermolecular Interactions Correction to the Translational Partition Function
      In ideal gases the only contribution to the energy of the molecules is the kinetic energy of the molecules. But in gases where the molecules interact (attract or repel each other), the energy also depends on the relative position of the molecules. The section discusses how this can be incorporated into the translational partition function.
    • 2.9: Ortho and Para Hydrogen
      This page explores hydrogen's ortho and para forms, highlighting their impact on rotational states and thermodynamics, and detailing the temperature-dependent ortho-para ratio and its behavior during cooling. It notes the slow interconversion rates without catalysts and examines oxygen molecules' contribution to the rotational partition function, emphasizing statistical thermodynamics principles.
    • 2.10: The Equipartition Principle
      This page discusses the equipartition theorem, which states that each quadratic degree of freedom contributes \(½k_BT\) to average energy. In polyatomic gases, various motions contribute at high temperatures, while lower temperatures diminish vibrational contributions, leading to a failure of the theorem. The failure can be explained using quantum mechanical energy levels and statistical mechanics.
    • 2.11: Molar Heat Capacities
      This section discusses the estimation of heat capacities based on the equipartion principle combined with the concept of active modes from statistical mechanics. We will make comparisons between the computed heat capacities and experimentally measured heat capacities.


    This page titled 2: Statistical Mechanics is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Jonathan Gutow.

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