Carnegie Mellon University · Department of Chemistry

Connecting AI
with Chemical Sciences

I am the Carl and Amy Jones Professor of Chemistry at Carnegie Mellon University. My research focuses on solving fundamental chemical problems through machine learning, molecular modeling, and quantum mechanics.

Since 2016, my work has pioneered research at the interface between ML and quantum chemistry, resulting in several families of atomistic machine learning potentials now used by leading laboratories and companies worldwide.

Olexandr Isayev
Pittsburgh, 2024
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2025

AIMNet2: a neural network potential to meet your neutral, charged, organic, and elemental-organic needs

Anstine D. M., Zubatyuk R., Isayev O.

Chemical Science (2025)

Ml Potentials
DOI
2025

All That Glitters Is Not Gold: Importance of Rigorous Evaluation of Proteochemometric Models

Avdiunina P., Jamal S., Gusev F., Isayev O.

Journal of Chemical Information and Modeling (2025)

Drug Discovery
Ai For Science
DOI
2025

Anticipating the Selectivity of Intramolecular Cyclization Reaction Pathways with Neural Network Potentials

Casetti N., Anstine D., Isayev O., Coley C. W.

Journal of Chemical Theory and Computation (2025)

Ml Potentials
Reactions
Generative Ai
DOI
2025

Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions

Guo K., Liu Z., Guo Z., Nan B., Isayev O., Chawla N., Wiest O., Zhang X.

(2025)

Reactions
Generative Ai
DOI
2025

Machine learning anomaly detection of automated HPLC experiments in the cloud laboratory

Gusev F., Kline B. C., Quinn R., Xu A., Smith B., Frezza B., Isayev O.

Digital Discovery (2025)

Automation
DOI