596 citations · 789 across the 16 of their papers we have counts for
4 papers · 1 filter
Ab initio study on the stability and elasticity of brucite
Hongjin Wang, Chenxing Luo, Renata M. Wentzcovitch
Brucite (Mg(OH)) is a mineral of great interest owing to its various applications and roles in geological processes. Its structure, behavior under different conditions, and uni…
Probing the state of hydrogen in -AlOOH at mantle conditions with machine learning potential
Chenxing Luo, Yang Sun, Renata M. Wentzcovitch
Hydrous and nominally anhydrous minerals (NAMs) are a fundamental class of solids of enormous significance to geophysics. They are the water carriers in the deep geological water c…
Thermoelastic properties of bridgmanite using Deep Potential Molecular Dynamics
Tianqi Wan, Chenxing Luo, Yang Sun +1
MgSiO_3-perovskite (MgPv) plays a crucial role in the Earth's lower mantle. This study combines deep-learning potential (DP) with density functional theory (DFT) to investigate the…
DeePMD-kit v2: A software package for Deep Potential models
Jinzhe Zeng, Duo Zhang, Denghui Lu +44
DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials (MLP) known as Deep Potential (DP) models. T…