Sheng Gong

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 5

Top Topics

Machine Learning

Density Functional Theory

Walled Carbon Nanotubes

Top Venues

Science advances

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

Publications

Jatin J Patil, Charles Tai-Chieh Wan, Sheng Gong, Yet-Ming Chiang, Fikile Richard Brushett, Jeffrey C Grossman
Bayesian-Optimization-Assisted Laser Reduction of Poly(acrylonitrile) for Electrochemical Applications. ACS nano (2023)
Sheng Gong, Keqiang Yan, Tian Xie, Yang Shao-Horn, Rafael Gomez-Bombarelli, Shuiwang Ji, Jeffrey C Grossman
Examining graph neural networks for crystal structures: Limitations and opportunities for capturing periodicity. Science advances 9 (45) (2023)
Jatin J Patil, Charles Tai-Chieh Wan, Sheng Gong, Yet-Ming Chiang, Fikile Richard Brushett, Jeffrey C Grossman
Bayesian-Optimization-Assisted Laser Reduction of Poly(acrylonitrile) for Electrochemical Applications. ACS nano 17 (5) (2023)
Sheng Gong, Shuo Wang, Tian Xie, Woo Hyun Chae, Runze Liu, Yang Shao-Horn, Jeffrey C Grossman
Calibrating DFT Formation Enthalpy Calculations by Multifidelity Machine Learning. JACS Au 2 (9) (2022)
Sheng Gong, Shuo Wang, Taishan Zhu, Xi Chen, Zhenze Yang, Markus J Buehler, Yang Shao-Horn, Jeffrey C Grossman
Screening and Understanding Li Adsorption on Two-Dimensional Metallic Materials by Learning Physics and Physics-Simplified Learning. JACS Au 1 (11) (2021)