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MACHINE LEARNING IN CHEMISTRY

CHEM 361
Course Description

An in-depth introduction to the use of machine learning techniques in Chemistry. Topics will include basics of probability theory and statistics, basics of function fitting and parameter inference, basics of optimization, and machine learning techniques. Discuss a selection of Chemistry topics that are particularly amenable to analysis using machine learning. These might include generative models for organic synthesis, force-fields, application to phase transitions, structure and dynamics of molecular systems, and AI-driven drug discovery.

Prerequisties
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This course does not satisfy any prerequisites.

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Instructors (2025 Fall)

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