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CHEM 442

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: MSE 477/CHEM 441. Offered: jointly with MSE 478.

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