Computational Materials Science

Catalog description

Introduces the theory and application of computational approaches for modeling and predicting the properties of materials. Materials simulation methods covered include density functional theory, molecular dynamics, Monte Carlo, and mesoscale modeling. Applications of machine learning in materials science also will be introduced. Students will gain hands-on experience with several modern materials simulation software packages and also develop proficiency in scientific computing, data analysis, and visualization. A computational research project will be developed and performed.