Explores challenges in identifying useful metastable materials and discusses concepts like structure predictions, ensemble probabilities, and mapping algorithms.
Explores the partition function and Stirling approximation in statistical thermodynamics, emphasizing the importance of recognizing higher order terms.
Explores energy flow and critical points in statistical physics, emphasizing the importance of understanding correlation functions and critical exponents.
Covers the Boltzmann distribution in statistical thermodynamics, focusing on the harmonic oscillator system and analyzing state occupancy with varying temperatures.
Explores the statistical mechanics of liquids, covering challenges in modeling, reduced distribution functions, pair correlation function, and scattering.
