Kevin P Greenman

7PUBLICATIONS
32CO-AUTHORS
Formal methods for softwareChemical and thermal processes in energy and combustionOptical properties of materialsBioinformatic methods developmentDeep learning
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Publications (7)

|Dec 26, 2025
Chemprop v2: An Efficient, Modular Machine Learning Package for Chemical Property Prediction.

David E Graff, Nathan K Morgan, Jackson W Burns

|Nov 21, 2025
A unified active learning framework for photosensitizer design.

Yizhe Chen, Shomik Verma, Kevin P Greenman

|May 14, 2025
Symmetry-constrained generation of diverse low-bandgap molecules with Monte Carlo tree search.

Akshay Subramanian, James Damewood, Juno Nam

|Jan 08, 2025
Benchmarking uncertainty quantification for protein engineering.

Kevin P Greenman, Ava P Amini, Kevin K Yang

|Dec 26, 2023
Chemprop: A Machine Learning Package for Chemical Property Prediction.

Esther Heid, Kevin P Greenman, Yunsie Chung

|Dec 21, 2023
Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back.

Brent A Koscher, Richard B Canty, Matthew A McDonald

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