Assistant Professor
B.Sc. (University of Toronto, 2009)
Ph.D. (University of Toronto, 2015)
Postdoctoral fellow (Rice University, 2015-2019)
Office: PP 118
Phone: (514)398-1317
Email: Lena.Simine [at] 大发彩票平台.CA
Lab: P&P 118A
Lab Phone: (514)398-6254
Research Themes:
- Theoretical Chemistry
- Chemical Physics
Research Description:
We are broadly interested in developing computational approaches for modelling of intriguing molecular phenomena. Please see our website or get in touch for more details.
Currently Teaching:
CHEM 365. Statistical Thermodynamics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 2
Offered by: Chemistry (Faculty of Science)
This course is not offered this catalogue year.
Description
Molecular basis of thermodynamics with applications to ideal gases and simple solids. Topics to be covered will include: calculation of thermodynamic functions, chemical equilibrium constants, Einstein and Debye models of solids, absolute reaction rate theory, Debye-H眉ckel theory of strong electrolytes.
- Prerequisite: CHEM 345
- Winter
- Prerequisite: CHEM 345
Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.
CHEM 593. Statistical Mechanics and Machine Learning for Chemistry.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Chemistry (Faculty of Science)
This course is not offered this catalogue year.
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
Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.
