Explores the microcanonical and canonical ensembles, historical contributions, macrostates, microstates, and particle arrangements in statistical thermodynamics.
Covers the basics of molecular dynamics simulations, ensemble properties, classical mechanics formulations, numerical integration, energy conservation, and constraint algorithms.
Explores Monte Carlo techniques for sampling and simulation, covering integration, importance sampling, ergodicity, equilibration, and Metropolis acceptance.
