CHEM 593. Statistical Mechanics and Machine Learning for Chemistry.

Credits: 3
Offered by: Chemistry (Faculty of Science)
Terms offered: Winter 2026
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Description

Intermediate topics in statistical mechanics and related machine learning: ensemble theory, critical phenomena, static and time-dependent phenomena, linear response and fluctuations, Monte Carlo and molecular dynamics simulation methods, data driven simulation methods: MaxEnt modeling, generative machine learning, active learning.
  • Prerequisite: CHEM 345. Recommended: CHEM 365
  • Winter
  • Term paper
  • Recommended: CHEM 345 and CHEM 365

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