most citedA Tungsten Deep Neural-Network Potential for Simulating Mechanical Property Degradation Under Fusion Service Environment

39 citations · 39 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2021★ 39 cited

A Tungsten Deep Neural-Network Potential for Simulating Mechanical Property Degradation Under Fusion Service Environment

XiaoYang Wang, YiNan Wang, LinFeng Zhang +2

Tungsten is a promising candidate material in fusion energy facilities. Molecular dynamics (MD) simulations reveal the atomistic scale mechanisms, so they are crucial for the under…