Yunsie Chung

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Electron Transfer

Machine Learning

Top Venues

Journal of chemical information and modeling

Chemical science

Journal of the American Chemical Society

The journal of physical chemistry. A

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

Publications

Yunsie Chung, William H Green
Machine learning from quantum chemistry to predict experimental solvent effects on reaction rates. Chemical science 15 (7) (2024)
Yunsie Chung, William H Green
Machine learning from quantum chemistry to predict experimental solvent effects on reaction rates. Chemical science 15 (7) (2024)
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)
Sayandeep Biswas, Yunsie Chung, Josephine Ramirez, Haoyang Wu, William H Green
Predicting Critical Properties and Acentric Factors of Fluids Using Multitask Machine Learning. 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)
Yunsie Chung, William H Green
Computing Kinetic Solvent Effects and Liquid Phase Rate Constants Using Quantum Chemistry and COSMO-RS Methods. The journal of physical chemistry. A (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)
Matthew S Johnson, Xiaorui Dong, Alon Grinberg Dana, Yunsie Chung, David Farina, Ryan J Gillis, Mengjie Liu, Nathan W Yee, Katrin Blondal, Emily J Mazeau, Colin A Grambow, A Mark Payne, Kevin A Spiekermann, Hao-Wei Pang, C Franklin Goldsmith, Richard H West, William H Green
RMG Database for Chemical Property Prediction. Journal of chemical information and modeling 62 (20) (2022)
Florence H Vermeire, Yunsie Chung, William H Green
Predicting Solubility Limits of Organic Solutes for a Wide Range of Solvents and Temperatures. Journal of the American Chemical Society 144 (24) (2022)
Yunsie Chung, Florence H Vermeire, Haoyang Wu, Pierre J Walker, Michael H Abraham, William H Green
Group Contribution and Machine Learning Approaches to Predict Abraham Solute Parameters, Solvation Free Energy, and Solvation Enthalpy. Journal of chemical information and modeling 62 (3) (2022)