Machine learning metadynamics simulation of reconstructive phase transition Q Tong, X Luo, AA Adeleke, P Gao, Y Xie, H Liu, Q Li, Y Wang, J Lv, ...
Physical Review B 103 (5), 054107, 2021
30 2021 Space group informed transformer for crystalline materials generation Z Cao, X Luo, J Lv, L Wang
arXiv preprint arXiv:2403.15734, 2024
11 2024 Deep learning generative model for crystal structure prediction X Luo, Z Wang, P Gao, J Lv, Y Wang, C Chen, Y Ma
npj Computational Materials 10 (1), 254, 2024
6 2024 Concurrent learning scheme for crystal structure prediction Z Wang, X Wang, X Luo, P Gao, Y Sun, J Lv, H Wang, Y Wang, Y Ma
Physical Review B 109 (9), 094117, 2024
6 2024 Stability of the peroxide group in X Zhang, X Luo, M Bykov, E Bykova, I Chuvashova, D Butenko, ...
Physical Review B 103 (9), 094104, 2021
5 2021 Data-driven search for high-temperature superconductors in ternary hydrides under pressure B Jiang, X Luo, Y Sun, X Zhong, J Lv, Y Xie, Y Ma, H Liu
Physical Review B 111 (5), 054505, 2025
1 2025 CrystalFlow: A Flow-Based Generative Model for Crystalline Materials X Luo, Z Wang, J Lv, L Wang, Y Wang, Y Ma
arXiv preprint arXiv:2412.11693, 2024
1 2024 Data-driven design of high-temperature superconductivity among ternary hydrides under pressure B Jiang, X Luo, T Iitaka, Y Sun, X Zhong, J Lv, Y Xie, Y Ma, H Liu
arXiv preprint arXiv:2410.20114, 2024
2024 Machine learning atomistic simulation of reconstructive phase transition: nucleation, growth, and path selection Q Tong, X Luo, AA Adeleke, P Gao, Y Xie
