38 citations · 38 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2024
Atomic cluster expansion interatomic potential for defects and thermodynamics of Cu-W system
Jiahao Pan, Huiqun Cheng, Gaosheng Yan +3
The unique properties exhibited in immiscible metals, such as excellent strength, hardness, and radiation-damage tolerance, have stimulated the interest of many researchers. As a t…
cond-mat.mtrl-sci2023★ 38 cited
Efficiency, Accuracy, and Transferability of Machine Learning Potentials: Application to Dislocations and Cracks in Iron
Lei Zhang, Gábor Csányi, Erik van der Giessen +1
Machine learning interatomic potentials (ML-IAPs) enable quantum-accurate, classical molecular dynamics simulations of large systems, beyond reach of density functional theory (DFT…