Yu-Hang Tang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 6

Top Topics

Quality Control

Diffusion Weighted Imaging

Top Venues

Journal of chemical information and modeling

The Journal of chemical physics

The journal of physical chemistry. A

E O Lawrence Berkeley National Laboratory

Brown University (PHD)

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

Affiliation History

E O Lawrence Berkeley National Laboratory Oct 02 2017

United States

Luis W. Alvarez Postdoctoral Fellow :: Computational Research Division

Education History

Brown University Sep 01 2012 - Aug 31 2017

United States

PHD :: Applied Mathematics

Publications

Yan Xiang, Yu-Hang Tang, Zheng Gong, Hongyi Liu, Liang Wu, Guang Lin, Huai Sun
Efficient Exploration of Chemical Compound Space Using Active Learning for Prediction of Thermodynamic Properties of Alkane Molecules. Journal of chemical information and modeling (2023)
Yan Xiang, Yu-Hang Tang, Guang Lin, Daniel Reker
Interpretable Molecular Property Predictions Using Marginalized Graph Kernels. Journal of chemical information and modeling (2023)
Yan Xiang, Yu-Hang Tang, Guang Lin, Huai Sun
A Comparative Study of Marginalized Graph Kernel and Message-Passing Neural Network. Journal of chemical information and modeling 61 (11) (2021)
Yan Xiang, Yu-Hang Tang, Hongyi Liu, Guang Lin, Huai Sun
Predicting Single-Substance Phase Diagrams: A Kernel Approach on Graph Representations of Molecules. The journal of physical chemistry. A 125 (20) (2021)
Yu-Hang Tang, Wibe A de Jong
Prediction of atomization energy using graph kernel and active learning. The Journal of chemical physics 150 (4) (2019)
Yu-Hang Tang, Dongkun Zhang, George Em Karniadakis
An atomistic fingerprint algorithm for learning ab initio molecular force fields. The Journal of chemical physics 148 (3) (2018)