| DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models Y Zhang, H Wang, W Chen, J Zeng, L Zhang, H Wang, E Weinan Computer Physics Communications 253, 107206, 2020 | 362 | 2020 |
| DeePMD-kit v2: A software package for deep potential models J Zeng, D Zhang, D Lu, P Mo, Z Li, Y Chen, M Rynik, L Huang, Z Li, S Shi, ... The Journal of Chemical Physics 159 (5), 2023 | 73 | 2023 |
| Deep learning of accurate force field of ferroelectric J Wu, Y Zhang, L Zhang, S Liu Physical Review B 103 (2), 024108, 2021 | 55 | 2021 |
| Accurate Deep Potential model for the Al–Cu–Mg alloy in the full concentration space W Jiang, Y Zhang, L Zhang, H Wang Chinese Physics B 30 (5), 050706, 2021 | 42 | 2021 |
| Warm dense matter simulation via electron temperature dependent deep potential molecular dynamics Y Zhang, C Gao, Q Liu, L Zhang, H Wang, M Chen Physics of Plasmas 27 (12), 2020 | 26 | 2020 |
| Crystal structure prediction of binary alloys via deep potential H Wang, Y Zhang, L Zhang, H Wang Frontiers in Chemistry 8, 589795, 2020 | 13 | 2020 |
| Universal interatomic potential for perovskite oxides J Wu, J Yang, YJ Liu, D Zhang, Y Yang, Y Zhang, L Zhang, S Liu Physical Review B 108 (18), L180104, 2023 | 4 | 2023 |
| DPA-2: Towards a universal large atomic model for molecular and material simulation D Zhang, X Liu, X Zhang, C Zhang, C Cai, H Bi, Y Du, X Qin, J Huang, B Li, ... arXiv preprint arXiv:2312.15492, 2023 | 3 | 2023 |
| A Benchmark for Accurate GPCR Ligand Binding Affinity Prediction with Free Energy Perturbation Y Guo, Y Zhou, Q Bai, Z Bo, K Song, J Chang, Y Zhang, M Yang, Y Deng, ... | 1 | 2023 |
| DPA-2: Towards a universal large atomic model for molecular and materials simulation H Wang, D Zhang, X Liu, X Zhang, C Zhang, C Cai, H Bi, Y Du, X Qin, ... | | 2024 |
Linfeng ZhangDP Technology; AI for Science InstituteVerified email at dp.tech
