2 citations · 2 across the 1 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2024
Observing Li Nucleation at Li Metal-Solid Electrolyte Interface in All-Solid-State Batteries
Yun An, Taiping Hu, Quanquan Pang +1
Benefiting from the significantly improved energy density and safety, all-solid-state lithium batteries (ASSLBs) are considered one of the most promising next-generation energy tec…
cond-mat.mtrl-sci2024★ 1 cited
A Machine-Learning Accelerated Grand Canonical Sampling Framework for Nuclear Quantum Effects in Constant Potential Electrochemistry
Menglin Sun, Bin Jin, Xiaolong Yang +1
Proton-coupled electron transfer (PCET) is the key step for energy conversion in electrocatalysis. Atomic-scale simulation acts as an indispensable tool to provide a microscopic un…
cond-mat.mtrl-sci2023★ 2 cited
A Spin-dependent Machine Learning Framework for Transition Metal Oxide Battery Cathode Materials
Taiping Hu, Teng Yang, Jianchuan Liu +9
Owing to the trade-off between the accuracy and efficiency, machine-learning-potentials (MLPs) have been widely applied in the battery materials science, enabling atomic-level dyna…