most citedDeep learning inter-atomic potential model for accurate irradiation damage simulations

83 citations · 83 across the 1 of their papers we have counts for

collaborators

1 paper

physics.comp-ph2019★ 83 cited

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…