100 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN4 papers
- Peking UniversityCN4 papers
- Art Institute of PortlandUS3 papers
- Institute of Applied Physics and Computational MathematicsCN3 papers
- Collaborative Innovation Center of Chemistry for Energy MaterialsCN2 papers
- Princeton UniversityUS2 papers
- Tsinghua UniversityCN2 papers
- University of Chinese Academy of SciencesCN2 papers
- University of Science and Technology of ChinaCN2 papers
- Xiamen UniversityCN2 papers
- Asahi Kasei (Japan)JP1 paper
- Baidu (China)CN1 paper
3 papers · 1 filter
Revealing the molecular structures of a-Al2O3(0001)-water interface by machine learning based computational vibrational spectroscopy
Xianglong Du, Weizhi Shao, Chenglong Bao +3
Solid-water interfaces are crucial to many physical and chemical processes and are extensively studied using surface-specific sum-frequency generation (SFG) spectroscopy. To establ…
Deep learning tight-binding approach for large-scale electronic simulations at finite temperatures with accuracy
Qiangqiang Gu, Zhanghao Zhouyin, Shishir Kumar Pandey +3
Simulating electronic behavior in materials and devices with realistic large system sizes remains a formidable task within the framework due to its computational inte…
A Tungsten Deep Neural-Network Potential for Simulating Mechanical Property Degradation Under Fusion Service Environment
XiaoYang Wang, YiNan Wang, LinFeng Zhang +2
Tungsten is a promising candidate material in fusion energy facilities. Molecular dynamics (MD) simulations reveal the atomistic scale mechanisms, so they are crucial for the under…