Computational Materials Science using Python/MATLAB – Training Services

Computational Materials Science using Python/MATLAB – Training Services provides training on modeling, simulating, and analyzing the properties of materials using computational techniques. The course covers atomic and molecular modeling, crystal structure analysis, thermomechanical property calculations, and defect simulations. Participants will use Python and MATLAB to implement algorithms for electronic structure analysis, molecular dynamics, and finite element modeling of materials. Emphasis is placed on understanding structure-property relationships, numerical methods, visualization, and integration with experimental data. Case studies highlight applications in nanomaterials, polymers, metals, and semiconductors. Hands-on sessions provide practical experience in coding simulations, analyzing material behavior, and interpreting computational results for research and engineering applications. By the end, participants will be proficient in applying computational techniques to solve complex materials science problems.