Northwestern University 1 credit Materials Science & Engineering
The use of machine learning, artificial intelligence and data-driven tools applied to problems in materials science. Topics include materials informatics workflow; materials databases; materials representations based on features, structural information, and graph-based methods; feature engineering; materials applications of deep learning methods. Some knowledge of python and basic familiarity with machine learning methods will be helpful.
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