Wenhui Duan
Affiliations: | Physics | Tsinghua University (Beijing), Beijing, Beijing Shi, China |
Google:
"Wenhui Duan"Mean distance: (not calculated yet)
Children
Sign in to add traineeBinghai Yan | grad student | ||
Yong Xu | grad student | 2005-2010 | |
Xiaobin Chen | grad student | 2009-2014 | Tsinghua University (Beijing) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Wang R, Chang K, Duan W, et al. (2025) Twist-Angle-Dependent Valley Polarization of Intralayer Moiré Excitons in van der Waals Superlattices. Physical Review Letters. 134: 026904 |
Dong WH, Si C, Duan W, et al. (2024) Realizing Strong and Robust Quasi-1D Superconductors via Multiorbital Chains: NaBe as an Example. Physical Review Letters. 133: 236001 |
Li H, Wang Z, Zou N, et al. (2024) Author Correction: Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation. Nature Computational Science |
Zhang H, Li Q, Scheer MG, et al. (2024) Correlated topological flat bands in rhombohedral graphite. Proceedings of the National Academy of Sciences of the United States of America. 121: e2410714121 |
Tang Z, Li H, Lin P, et al. (2024) A deep equivariant neural network approach for efficient hybrid density functional calculations. Nature Communications. 15: 8815 |
Gong X, Louie SG, Duan W, et al. (2024) Generalizing deep learning electronic structure calculation to the plane-wave basis. Nature Computational Science |
Li Y, Tang Z, Chen Z, et al. (2024) Neural-network Density Functional Theory Based on Variational Energy Minimization. Physical Review Letters. 133: 076401 |
Wang Y, Li Y, Tang Z, et al. (2024) Universal materials model of deep-learning density functional theory Hamiltonian. Science Bulletin |
Xiao K, Dong WH, Wang X, et al. (2024) Hidden Charge Order and Multiple Electronic Instabilities in EuTe. Nano Letters |
Li H, Tang Z, Fu J, et al. (2024) Deep-Learning Density Functional Perturbation Theory. Physical Review Letters. 132: 096401 |