Materials and Device Modeling

3 credits

Implementation of computational and data science methods in materials science discovery and device modeling to gain physical and statistical insights of materials design. First-principles methods, multiscale simulations, and continuum modeling will be introduced within the framework of active machine learning with application of both computational and data science methods to materials study. Prerequisite: either MSE 477/CHEM 441, MSE 542/CHEM 541, CHEM E 545/CHEM 545/MSE 545, or CHEM E 546/CHEM 546/MSE 546 (or equivalents). Offered: jointly with CHEM 542.