Explores the statistical mechanics of liquids, covering challenges in modeling, reduced distribution functions, pair correlation function, and scattering.
Explores sampling the canonical ensemble, temperature fluctuations, extended Lagrangian, and molecular dynamics control of temperature.
Explores path integral methods, partition functions, Trotter factorization, quantum-classical isomorphism, and multidimensional generalization in statistical mechanics.
Covers belief propagation on graphs, exploring computation challenges and heuristics, focusing on sparse random graphs' loop properties.
Explores partition functions in spin systems, models like Ising and Potts, computational challenges, and the Lee-Yang Theorem.
