38 citations · 38 across the 2 of their papers we have counts for
2 papers
physics.chem-ph2026
Ai2-Kit: Streamlining AI-Accelerated Ab Initio Workflows for Complex Chemical Systems
Sheng Bi, Wei-Hong Xu, Yong-Bin Zhuang +47
Molecular simulations of complex chemical systems, such as catalysis, electrochemistry, and energy storage, often need to capture the interplay of effects such as electronic struct…
physics.chem-ph2024★ 38 cited
Machine Learning Potential for Electrochemical Interfaces with Hybrid Representation of Dielectric Response
Jia-Xin Zhu, Jun Cheng
Understanding electrochemical interfaces at a microscopic level is essential for elucidating important electrochemical processes in electrocatalysis, batteries and corrosion. While…