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Sep 2026

Hot-deformation behaviour of rare earths (RE) containing 3Cr13MoNiVNb martensitic stainless steel based on constitutive equations and deep learning algorithm

The present constitutive model can accurately predict the flow stresses in materials during thermal deformation, which is of great significance for the formulation and improvement of hot working processes. This study performed hot deformation testing on rare earths-containing 3Cr13MoNiVNb martensitic stainless steel,...

Wen-Bo Fan, Hai-Yan Wang, Xue-Yun Gao et al. · 0 citations
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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