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Hai-Yan Wang

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Open access Sep 2026

Extensive study on the α-Fe grain boundaries using molecular dynamics simulations using a deep learning potential

Grain boundaries (GBs) critically influence the mechanical properties of polycrystalline metallic materials, yet systematic atomic-level understanding of GB structures and deformation mechanisms in α-Fe remains limited. In this study, we employ deep learning-based molecular dynamics simulations to investigate the atomi...

Hai-Yan Wang, Hui-Hui Cao, Xue-Yun Gao et al. · 0 citations

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