Yunsie Chung

According to our database, Yunsie Chung authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Chemprop: A Machine Learning Package for Chemical Property Prediction.

Esther Heid, Kevin P. Greenman, Yunsie Chung, Shih-Cheng Li, David E. Graff, Florence H. Vermeire, Haoyang Wu, William H. Green Jr., Charles McGill

J. Chem. Inf. Model., January, 2024

Denoising Drug Discovery Data for Improved Absorption, Distribution, Metabolism, Excretion, and Toxicity Property Prediction.

Matthew Adrian, Yunsie Chung, Alan C. Cheng

J. Chem. Inf. Model., 2024

QComp: A QSAR-Based Data Completion Framework for Drug Discovery.

Bingjia Yang, Yunsie Chung, Archer Y. Yang, Bo Yuan, Xiang Yu

CoRR, 2024

2023

Predicting Critical Properties and Acentric Factors of Fluids Using Multitask Machine Learning.

Sayandeep Biswas, Yunsie Chung, Josephine Ramirez, Haoyang Wu, William H. Green Jr.

J. Chem. Inf. Model., August, 2023

2022

RMG Database for Chemical Property Prediction.

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 Jr.

J. Chem. Inf. Model., 2022

Group Contribution and Machine Learning Approaches to Predict Abraham Solute Parameters, Solvation Free Energy, and Solvation Enthalpy.

Yunsie Chung, Florence H. Vermeire, Haoyang Wu, Pierre J. Walker, Michael H. Abraham, William H. Green Jr.

J. Chem. Inf. Model., 2022