100 citations · 128 across the 7 of their papers we have counts for
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physics.geo-ph2024
Machine learning potential for serpentines
Hongjin Wang, Chenxing Luo, Renata Wentzcovitch
Serpentines are layered hydrous magnesium silicates (MgOSiOHO) formed through serpentinization, a geochemical process that significantly alters the physical pro…
physics.geo-ph2023★ 1 cited
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…
physics.geo-ph2022★ 27 cited
Elastic anisotropy of lizardite at subduction zone conditions
Xin Deng, Chenxing Luo, Renata M. Wentzcovitch +2
Subduction zones transport water into Earth's deep interior through slab subduction. Serpentine minerals, the primary hydration product of ultramafic peridotite, are abundant in mo…