2.7k citations
- Peking UniversityCN249 papers
- Chinese Academy of SciencesCN132 papers
- China Academy of Engineering PhysicsCN81 papers
- Institute of PhysicsPL58 papers
- Beijing Institute of TechnologyCN50 papers
- University of Chinese Academy of SciencesCN49 papers
- Graduate School of China Academy of Engineering PhysicsCN48 papers
- Beijing Computational Science Research CenterCN43 papers
- Tsinghua UniversityCN34 papers
- Beijing Normal UniversityCN33 papers
- Shanghai Jiao Tong UniversityCN31 papers
- Institute of Applied PhysicsMD29 papers
833 papers
Complexity of the Laughlin wave function from the Dyson-orbital perspective
J. M. Zhang, Y. Liu
The Fermi sea is a simple and common concept in physics. However, a related and equally simple concept -- the Dyson orbital -- is far less discussed in physics, especially in textb…
Generation of fission yield covariance matrices and its application in uncertainty analysis of decay heat
Wendi Chen, Tao Ye, Hairui Guo +3
The uncertainties and covariance matrices of fission yield are important in the uncertainty analysis of decay heat. At present, there are no covariance matrixes of fission yield gi…
Plasma Screening Effects in Stark Broadening: A Fully Relativistic Close-Coupling Approach
Chao Wu, Yong Wu, Yu Hao Zhu +3
Stark broadening of spectral lines in plasmas is a cornerstone of opacity modeling and plasma diagnostics, with critical implications for controlled fusion and astrophysics. Despit…
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
Shuai Zhao, Heyan Huang, Xinge Li +2
Neural networks have demonstrated exceptional performance in supervised learning, benefiting from abundant high-quality annotated data. However, obtaining such data in real-world s…
ProME: An Integrated Computational Platform for Material Properties at Extremes and Its Application in Multicomponent Alloy Design
Xingyu Gao, William Yi Wang, Xin Chen +8
We have built an integrated computational platform for material properties at extreme conditions, ProME (Professional Materials at Extremes) v1.0, which enables integrated calculat…
UniSymNet: A Unified Symbolic Network Guided by Transformer
Xinxin Li, Juan Zhang, Da Li +3
Symbolic Regression (SR) is a powerful technique for automatically discovering mathematical expressions from input data. Mainstream SR algorithms search for the optimal symbolic tr…