Scholar
Bingqing Cheng
Google Scholar ID: s5ZqEskAAAAJ
Assistant Professor at University of California, Berkeley
Citations & Impact
Citations
3,146
H-index
26
i10-index
38
Publications
20
Co-authors
18
list available
Contact
No contact links provided.
Publications
Resume (English only)
Research Experience
- Research Projects: Aiming to improve the prediction of complex atomic system behaviors by reducing computational costs; Utilizing machine learning techniques to 'learn' atomic interactions from quantum mechanics; Combining advanced statistical mechanics methods with data-driven machine learning interatomic potentials to predict material behavior at finite temperatures using first principles methods based on quantum chemistry.
Background
- Research Interests: Developing and applying novel methods that combine statistical mechanics, first-principles methods, and machine learning to predict material properties; Professional Field: Computational Chemistry, Materials Science.
Miscellany
- Cited Paul Dirac's view, emphasizing the issue of computational cost as a bottleneck for predicting the behavior of matter, and discussed how to reduce such costs through approximate methods.
