Green Research Group
Fundamental and Applied Chemical Kinetics
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Biblio Author:
Yi-Pei Li
2021
Kabir Ahuja
William H. Green
Yi-Pei Li
2021
Learning to Optimize Molecular Geometries Using Reinforcement Learning
Journal of Chemical Theory and Computation
17
818-825
2020
Gabriele Scalia
Colin A. Grambow
Barbara Pernici
Yi-Pei Li
William H. Green
2020
Evaluating Scalable Uncertainty Estimation Methods for Deep Learning Based Molecular Property Prediction
Journal of Chemical Information and Modeling
60
2697-2717
2019
Colin A. Grambow
Yi-Pei Li
William H. Green
2019
Accurate Thermochemistry with Small Data Sets: A Bond Additivity Correction and Transfer Learning Approach
Journal of Physical Chemistry A
123
5826-5835
2019
Yi-Pei Li
Kehang Han
Colin A. Grambow
William H. Green
2019
Self-Evolving Machine: A Continuously Improving Model for Molecular Thermochemistry
The Journal of Physical Chemistry A
123
2142-2152
2019
Murat Keceli
Sarah N. Elliott
Yi-Pei Li
Matthew S. Johnson
Carlo Cavallotti
Yuri Georgievskii
William H. Green
Matteo Pelucchi
Justin M. Wozniak
Ahren W. Jasper
Stephen J. Klippenstein
2019
Automated computational thermochemistry for butane oxidation: A prelude to predictive automated combustion kinetics
Proceedings of the Combustion Institute
37
363 – 371
2018
Colin A. Grambow
Adeel Jamal
Yi-Pei Li
William H. Green
Judit Zador
Yury V. Suleimanov
2018
Unexpected Unimolecular Reaction Pathways of a ?-Ketohydroperoxide from Combined Application of Automated Reaction Discovery Methods
Journal of the American Chemical Society
140
1035-1048