| 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 | 230 | 2023 |
| Machine-Learning-Driven Simulations on Microstructure and Thermophysical Properties of MgCl2–KCl Eutectic W Liang, G Lu, J Yu ACS Applied Materials & Interfaces 13 (3), 4034-4042, 2021 | 66 | 2021 |
| First-principles molecular dynamics simulations on the local structure and thermo-kinetic properties of molten magnesium chloride W Liang, J Wu, H Ni, G Lu, J Yu Journal of Molecular Liquids 298, 112063, 2020 | 56 | 2020 |
| Molecular Dynamics Simulations of Molten Magnesium Chloride Using Machine‐Learning‐Based Deep Potential W Liang, G Lu, J Yu Advanced Theory and Simulations 3 (12), 2000180, 2020 | 49 | 2020 |
| Theoretical prediction on the local structure and transport properties of molten alkali chlorides by deep potentials W Liang, G Lu, J Yu Journal of Materials Science & Technology 75, 78-85, 2021 | 47 | 2021 |
| Local structure elucidation and properties prediction on KCl–CaCl2 molten salt: a deep potential molecular dynamics study M Bu, W Liang, G Lu, J Yu Solar Energy Materials and Solar Cells 232, 111346, 2021 | 41 | 2021 |
| Composition-dependent microstructure evolution in liquid MgCl2-KCl: A first-principles molecular dynamics study W Liang, G Lu, J Yu Journal of Molecular Liquids 309, 113131, 2020 | 31 | 2020 |
| Molecular dynamics simulations of lanthanum chloride by deep learning potential T Feng, J Zhao, W Liang, G Lu Computational Materials Science 210, 111014, 2022 | 29 | 2022 |
| Molecular dynamics simulation on local structure and thermodynamic properties of molten ternary chlorides systems for thermal energy storage J Wu, H Ni, W Liang, G Lu, J Yu Computational Materials Science 170, 109051, 2019 | 29 | 2019 |
| Static and dynamic ionic structure of molten CaCl2 via first-principles molecular dynamics simulations M Bu, W Liang, G Lu, J Yu Ionics 27, 771-779, 2021 | 21 | 2021 |
| Molecular dynamics simulations on AlCl3-LiCl molten salt with deep learning potential M Bu, W Liang, G Lu Computational Materials Science 210, 111494, 2022 | 20 | 2022 |
| Molecular dynamics simulation of molten strontium chloride based on deep potential D Guo, J Zhao, W Liang, G Lu Journal of Molecular Liquids 348, 118380, 2022 | 16 | 2022 |
| Machine Learning Accelerates Molten Salt Simulations: Thermal Conductivity of MgCl2‐NaCl Eutectic W Liang, G Lu, J Yu Advanced Theory and Simulations 5 (8), 2200206, 2022 | 14 | 2022 |
| Learning DeePMD-kit: A guide to building deep potential models W Liang, J Zeng, DM York, L Zhang, H Wang A Practical Guide to Recent Advances in Multiscale Modeling and Simulation …, 2023 | 10 | 2023 |
| Theoretical prediction on the redox potentials of rare-earth ions by deep potentials J Zhao, W Liang, G Lu Ionics 27, 2079-2088, 2021 | 10 | 2021 |
| Evaluation of the local structure and electrochemical behavior in the LiCl-KCl-SmCl3 melt J Zhao, Z Liu, W Liang, G Lu Journal of Molecular Liquids 363, 119818, 2022 | 9 | 2022 |
