Computational Techniques in Solid State Physics – Training Services

Computational Techniques in Solid State Physics – Training Services provides specialized training on modeling and simulating properties of solid materials using computational methods. The course covers topics such as crystal structures, band theory, phonon dynamics, electronic properties, and lattice vibrations, with practical implementation in Python and MATLAB. Participants will learn numerical methods for solving Schrödinger’s equation in periodic potentials, calculating density of states, and simulating electronic and thermal behavior of solids. Emphasis is placed on visualization of band structures, phonon spectra, and electronic distributions for enhanced understanding. Case studies highlight applications in semiconductors, superconductors, and nanomaterials. Hands-on sessions provide practical experience in coding, analyzing results, and interpreting physical phenomena in solid-state systems. By the end, participants will be equipped to apply computational techniques to research and study of solid-state physics.