Statistical Thermodynamics · Chemistry
Principles of statistical thermodynamics of non-interacting systems: microstates, ensembles, partition functions and averages in Boltzmann statistics. Quantum statistics: Bose-Einstein and Fermi-Dirac statistics. Ising model as an example of an interacting system.
Fantastic introduction to statistical mechanics, with a needed focus on the application to materials chemistry.
I have learned so much math along the way
Partition functions, microcanonical, canonical, and grand canonical ensemble
Statistical mechanical ensembles (microcanonical, canonical, grand canonical) and the derivation of relevant thermodynamic quantities from these ensembles; canonical ensemble setup for a classical ideal gas; grand canonical setups for non-interacting ideal particles, such as bosons and fermions; basis for the virial equation for non-ideal gases and calculation of B2 parameters for different theoretical approximations; distribution functions for liquids and the derivation of thermodynamic properties from scattering intensity of a liquid; Ising model
How partition functions affect the system and how quantum mechanics play a huge role on defining the molecular dynamics.
viewing chemistry/physics from a statistical perspective: ensemble theory, imperfect gases (virial expansion), liquid state theory, and mean field theory
Basic thermodynamics, focus on combinatoric problems in entropy, Boltzmann statistics, quantum statistics, approximation methods for interacting particles
I developed an interest in Statistical Mechanics by taking this course. Prof. Caccuito's teaching has helped me in understanding the concepts better.
A statistical approach to understand thermodynamics. Microcanonical ensemble, canonical ensemble and grand canonical ensemble. Quantum statistics for Fermions and Bosons. Interacting systems like Ising model.