Academics / Courses / DescriptionsMAT_SCI 395-8: Special Topics: Material and Informatics
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Prerequisites
No formal prerequisites; some knowledge of Python and basic familiarity with machine learning methods will be helpful.Description
Overview: MAT_SCI 395/495 will cover the field of materials informatics: the use of machine learning, artificial intelligence and data-driven tools applied to problems in materials science. This area is very active and growing in research applications as well as industrial and technological applications.
Projects: Students will work on several short homework/lab computational projects and one longer project during the quarter. Hands-on applications will focus on materials datasets, machine learning tools, and the development of materials property models from ML/AI.
Topics: Materials databases and datasets; materials representations based on features, structural information, and graph based methods; materials applications of large language models, autonomous labs, automated experimental characterization tools.
Meeting times: TTh 11:00 - 12:20
Instructor: Prof. Chris Wolverton
c-wolverton@northwestern.ed