Explores combinatorial optimization using simulated annealing to find ground states in frustrated systems and address challenges in satisfying all interactions simultaneously.
Explores statistical physics concepts like equiprobable microstates, entropy, and canonical ensembles, with applications in quantum mechanics and semiconductor physics.
Explores the statistical mechanics of liquids, covering challenges in modeling, reduced distribution functions, pair correlation function, and scattering.
Explores the partition function and Stirling approximation in statistical thermodynamics, emphasizing the importance of recognizing higher order terms.
