83 citations · 91 across the 4 of their papers we have counts for
4 papers
Deep learning inter-atomic potential for irradiation damage in 3C-SiC
Yong Liu, Hao Wang, Linxin Guo +4
We developed and validated an accurate inter-atomic potential for molecular dynamics simulation in cubic silicon carbide (3C-SiC) using a deep learning framework combined with smoo…
A High Accuracy Electrical Stopping Power Prediction Model based on Deep Learning Algorithm and its Applications
Xun Guo, Hao Wang, Shijun Zhao +2
Energy loss of energetic ions in solid is crucial in many field, and accurate prediction of the ion stopping power is a long-time goal. Though great efforts have been made, it is s…
Deep-learning interatomic potential for irradiation damage simulations in MoS2 with ab initial accuracy
Hao Wang, Xun Guo, Jianming Xue
Potentials that could accurately describe the irradiation damage processes are highly desired to figure out the atomic-level response of various newly-discovered materials under ir…
Deep learning inter-atomic potential model for accurate irradiation damage simulations
Hao Wang, Xun Guo, Linfeng Zhang +2
We propose a hybrid scheme that interpolates smoothly the Ziegler-Biersack-Littmark (ZBL) screened nuclear repulsion potential with a newly developed deep learning potential energy…