ME 5374-ST – Machine Learning for Materials Science and Discovery

Course Summary

Machine Learning for Materials Science and Discovery is a 4 semester-hour special topics graduate course. It covers the basics of machine learning and data science as it applies to materials science problems. Large materials databases, like the Materials Project, are utilized interactively. Common data types originating from computational and experimental methods are surveyed. The materials informatics paradigm is introduced with a focus on solid state materials discovery. Recent topics in the field, like generative AI and large language models, are discussed in student-led projects. This course has no formal prerequisites, but prior basic understanding of materials science and Python are advantageous.