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Apr 16, 2026
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MBSE 219: Computational Materials Science Units: 4
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.
Course Details Repeats Allowed for Credit: 0
Crosslisted with: PHYS 246 Laboratory included Normal Letter Grade only
Requisites and Restrictions Instructor Permission Required: No
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