Kevin P Greenman

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 8

Top Topics

Fluorescence Imaging

Top Venues

Journal of chemical information and modeling

Science (New York, N.Y.)

Chemical science

This page only lists publications with an associated author ORCID identifier.

Publications

Esther Heid, Kevin P Greenman, Yunsie Chung, Shih-Cheng Li, David E Graff, Florence H Vermeire, Haoyang Wu, William H Green, Charles J McGill
Chemprop: A Machine Learning Package for Chemical Property Prediction. Journal of chemical information and modeling (2023)
Esther Heid, Kevin P Greenman, Yunsie Chung, Shih-Cheng Li, David E Graff, Florence H Vermeire, Haoyang Wu, William H Green, Charles J McGill
Chemprop: A Machine Learning Package for Chemical Property Prediction. Journal of chemical information and modeling 64 (1) (2023)
Esther Heid, Kevin P Greenman, Yunsie Chung, Shih-Cheng Li, David E Graff, Florence H Vermeire, Haoyang Wu, William H Green, Charles J McGill
Chemprop: A Machine Learning Package for Chemical Property Prediction. Journal of chemical information and modeling 64 (1) (2023)
Esther Heid, Kevin P Greenman, Yunsie Chung, Shih-Cheng Li, David E Graff, Florence H Vermeire, Haoyang Wu, William H Green, Charles J McGill
Chemprop: A Machine Learning Package for Chemical Property Prediction. Journal of chemical information and modeling 64 (1) (2023)
Esther Heid, Kevin P Greenman, Yunsie Chung, Shih-Cheng Li, David E Graff, Florence H Vermeire, Haoyang Wu, William H Green, Charles J McGill
Chemprop: A Machine Learning Package for Chemical Property Prediction. Journal of chemical information and modeling 64 (1) (2023)
Brent A Koscher, Richard B Canty, Matthew A McDonald, Kevin P Greenman, Charles J McGill, Camille L Bilodeau, Wengong Jin, Haoyang Wu, Florence H Vermeire, Brooke Jin, Travis Hart, Timothy Kulesza, Shih-Cheng Li, Tommi S Jaakkola, Regina Barzilay, Rafael Gomez-Bombarelli, William H Green, Klavs F Jensen
Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back. Science (New York, N.Y.) 382 (6677) (2023)
Esther Heid, Kevin P Greenman, Yunsie Chung, Shih-Cheng Li, David E Graff, Florence H Vermeire, Haoyang Wu, William H Green, Charles J McGill
Chemprop: A Machine Learning Package for Chemical Property Prediction. Journal of chemical information and modeling 64 (1) (2023)
Kevin P Greenman, William H Green, Rafael Gomez-Bombarelli
Multi-fidelity prediction of molecular optical peaks with deep learning. Chemical science 13 (4) (2022)