| Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation H Li, Z Wang, N Zou, M Ye, R Xu, X Gong, W Duan, Y Xu Nature Computational Science 2 (6), 367-377, 2022 | 108 | 2022 |
| General framework for E (3)-equivariant neural network representation of density functional theory Hamiltonian X Gong, H Li, N Zou, R Xu, W Duan, Y Xu Nature Communications 14 (1), 2848, 2023 | 51 | 2023 |
| Deep-learning electronic-structure calculation of magnetic superstructures H Li, Z Tang, X Gong, N Zou, W Duan, Y Xu Nature Computational Science 3 (4), 321-327, 2023 | 25 | 2023 |
| Deep-learning density functional perturbation theory H Li, Z Tang, J Fu, WH Dong, N Zou, X Gong, W Duan, Y Xu Physical Review Letters 132 (9), 096401, 2024 | 9 | 2024 |
| Efficient hybrid density functional calculation by deep learning Z Tang, H Li, P Lin, X Gong, G Jin, L He, H Jiang, X Ren, W Duan, Y Xu arXiv preprint arXiv:2302.08221, 2023 | 6 | 2023 |
| Deep learning density functional theory Hamiltonian in real space Z Yuan, Z Tang, H Tao, X Gong, Z Chen, Y Wang, H Li, Y Li, Z Xu, M Sun, ... arXiv preprint arXiv:2407.14379, 2024 | | 2024 |
| Deep-Learning Database of Density Functional Theory Hamiltonians for Twisted Materials T Bao, R Xu, H Li, X Gong, Z Tang, J Fu, W Duan, Y Xu arXiv preprint arXiv:2404.06449, 2024 | | 2024 |
| Accelerating electronic structure calculations using an E (3)-equivariant neural network X Gong, H Li, S Louie, W Duan, Y Xu Bulletin of the American Physical Society, 2024 | | 2024 |
| Author Correction: Deep-learning electronic-structure calculation of magnetic superstructures H Li, Z Tang, X Gong, N Zou, W Duan, Y Xu Nature Computational Science 3 (6), 569, 2023 | | 2023 |
Wenhui DuanTsinghua University, Beijing, China在 tsinghua.edu.cn 的电子邮件经过验证
Wenhui DuanTsinghua University, Beijing, China在 tsinghua.edu.cn 的电子邮件经过验证
Yong Xu (徐勇)Professor, Department of Physics, Tsinghua University在 mail.tsinghua.edu.cn 的电子邮件经过验证