most citedEfficient GPU-Accelerated Training of a Neuroevolution Potential with Analytical Gradients

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.supr-con2025

Interpretable descriptors enable prediction of hydrogen-based superconductors at moderate pressures

Jiawei Chen, Junhao Peng, Yanwei Liang +3

Room temperature superconductivity remains elusive, and hydrogen-base compounds despite remarkable transition temperatures(Tc) typically require extreme pressures that hinder appli…

cond-mat.supr-con2025

Optimally Tensile Strained La3Ni2O7 Films as Candidate High-Temperature Superconductors on Designer Ba1-xSrxO (001) and SrO-SrTiO3 Substrates

Liangliang Liu, Junhao Peng, Zhuangzhuang Qiao +4

Recent experiments have observed superconductivity up to 48 K in La3Ni2O7-derived films under compressive strain imposed by the SrLaAlO4 substrate, while such films on the SrTiO3 s…

cond-mat.dis-nn2025★ 3 cited

Efficient GPU-Accelerated Training of a Neuroevolution Potential with Analytical Gradients

Hongfu Huang, Junhao Peng, Kaiqi Li +2

Machine-learning interatomic potentials (MLIPs) such as neuroevolution potentials (NEP) combine quantum-mechanical accuracy with computational efficiency significantly accelerate a…

cond-mat.mtrl-sci2025

Thermal-induced ion magnetic moment in HO superionic state

Xiao Liang, Junhao Peng, Fugen Wu +4

The hydrogen ions in the superionic ice can move freely, playing the role of electrons in metals. Its electromagnetic behavior is the key to explaining the anomalous magnetic field…

cond-mat.mtrl-sci2022

Stability of xenon-sodium compounds at moderately low pressures

Shaoxiong Wang, Huafeng Dong, Junhao Peng +5

A growing body of theoretical and experimental evidence suggests that inert gases (He, Ne, Ar, Kr, Xe, Rn) become less and less inert under increasing pressure. Here we use the ab…