Machine-learning interatomic potential for radiation damage effects in bcc-iron

Yi Wang; Jianbo Liu; Jiahao Li; Jinna Mei; Zhengcao Li; Wensheng Lai; Fei Xue

doi:10.1016/j.commatsci.2021.110960

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Machine-learning interatomic potential for radiation damage effects in bcc-iron

Yi Wang Jianbo Liu Jiahao Li Jinna Mei Zhengcao Li Wensheng Lai Fei Xue

Year: 2021 Journal: Computational Materials Science Vol: 202 Pages: 110960-110960 Publisher: Elsevier BV

DOI: 10.1016/j.commatsci.2021.110960

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Keywords:

Interatomic potential Stacking fault Transferability Radiation damage Cascade Dislocation Range (aeronautics) Molecular dynamics Atom (system on chip) Materials science Radiation Physics Chemical physics Chemistry Condensed matter physics Computer science Computational chemistry Nuclear physics Machine learning

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Nuclear Materials and Properties

Physical Sciences → Materials Science → Materials Chemistry

Fusion materials and technologies

Physical Sciences → Materials Science → Materials Chemistry

Hydrogen embrittlement and corrosion behaviors in metals

Physical Sciences → Materials Science → Metals and Alloys

Machine-learning interatomic potential for radiation damage effects in bcc-iron

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