3 papers
cond-mat.mtrl-sci2026
Knowledge-Guided Construction of Machine Learning Potentials for Reactive Behavior in Energetic Materials
Guanchen Dong, Huanrong Liu, Lin Wang +12
Energetic materials involve multiple interactions, making reliable machine-learning potentials (MLPs) difficult to construct without extensive datasets. Here, we enhance the abilit…
cond-mat.mtrl-sci2025
Linking Thermal History to Shear Band Interaction and Macroscopic Ductility in Metallic Glasses
Lechuan Sun, Shan Zhang, Bin Xu +3
Shear band propagation and interaction are critical to the mechanical performance of metallic glasses and are strongly governed by thermal history, yet their microscopic mechanisms…
cond-mat.stat-mech2024
Stochastic evolution elasto-plastic modeling of a metallic glass
Bin Xu, Zhao Wu, Jiayin Lu +4
This paper develops a general data-driven approach to stochastic elastoplastic modelling that leverages atomistic simulation data directly rather than by fitting parameters. The ap…