| Ab initio calculation of real solids via neural network ansatz X Li, Z Li, J Chen Nature Communications 13 (1), 7895, 2022 | 46 | 2022 |
| Fermionic neural network with effective core potential X Li, C Fan, W Ren, J Chen Physical Review Research 4 (1), 013021, 2022 | 34 | 2022 |
| Thermodynamics of flavor Polyakov-loop quark-meson model under external magnetic field X Li, W Fu, Y Liu Physical Review D 99 (7), 074029, 2019 | 20 | 2019 |
| New insight about the effective restoration of symmetry X Li, W Fu, Y Liu Physical Review D 101 (5), 054034, 2020 | 10 | 2020 |
| A computational framework for neural network-based variational Monte Carlo with Forward Laplacian R Li, H Ye, D Jiang, X Wen, C Wang, Z Li, X Li, D He, J Chen, W Ren, ... Nature Machine Intelligence 6 (2), 209-219, 2024 | 9 | 2024 |
| Python-Based Quantum Chemistry Calculations with GPU Acceleration X Wu, Q Sun, Z Pu, T Zheng, W Ma, W Yan, X Yu, Z Wu, M Huo, X Li, ... arXiv preprint arXiv:2404.09452, 2024 | 6 | 2024 |
| Electric Polarization from a Many-Body Neural Network Ansatz X Li, Y Qian, J Chen Physical Review Letters 132 (17), 176401, 2024 | 5 | 2024 |
| Force and stress calculation with neural network wavefunction for solids Y Qian, X Li, J Chen Faraday Discussions, 2024 | 1 | 2024 |
| Deep learning quantum Monte Carlo for solids Y Qian, X Li, Z Li, W Ren, J Chen arXiv preprint arXiv:2407.00707, 2024 | | 2024 |
| Emergent Wigner phases in moir\'e superlattice from deep learning X Li, Y Qian, W Ren, Y Xu, J Chen arXiv preprint arXiv:2406.11134, 2024 | | 2024 |
