2 citations · 3 across the 3 of their papers we have counts for
3 papers
physics.chem-ph2026
Voltage-embedded equivariant machine learning potential for open system simulations
Yiming Guan, Rongzhi Gao, ChiYung Yam +2
Modeling electrochemical interfaces under operational non-equilibrium conditions is vital for energy technologies but remains bottlenecked by the expensive cost of ab initio method…
cond-mat.mtrl-sci2025★ 1 cited
Electron transport properties of heterogeneous interfaces in solid electrolyte interphase on lithium metal anodes
Xiangyi Zhou, Rongzhi Gao, Ziyang Hu +3
In rechargeable batteries, electron transport properties of inorganics in the solid-electrolyte interphase (SEI) critically determine the safety, lifespan and capacity loss of batt…
physics.chem-ph2024★ 2 cited
A foundation machine learning potential with polarizable long-range interactions for materials modelling
Rongzhi Gao, ChiYung Yam, Jianjun Mao +3
Long-range interactions are essential determinants of chemical system behaviour across diverse environments. We present a foundation framework that integrates explicit polarizable…