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General-purpose neural network interatomic potential for the α-iron and hydrogen binary system: Toward atomic-scale understanding of hydrogen embrittlement

Fan-Shun Meng, Jun-Ping Du, Shuhei Shinzato, Hideki Mori, Peijun Yu, Kazuki Matsubara, Nobuyuki Ishikawa, and Shigenobu Ogata
Phys. Rev. Materials 5, 113606 – Published 22 November 2021
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Abstract

To understand the physics of hydrogen embrittlement at the atomic scale, a general-purpose neural network interatomic potential (NNIP) for the α-iron and hydrogen binary system is presented. It is trained using an extensive reference database produced by density functional theory (DFT) calculations. The NNIP can properly describe the interactions of hydrogen with various defects in α-iron, such as vacancies, surfaces, grain boundaries, and dislocations; in addition to the basic properties of α-iron itself, the NNIP also handles the defect properties in α-iron, hydrogen behavior in α-iron, and hydrogen-hydrogen interactions in α-iron and in vacuum, including the hydrogen molecule formation and dissociation at the α-iron surface. These are superb challenges for the existing empirical interatomic potentials, like the embedded-atom method based potentials, for the α-iron and hydrogen binary system. In this study, the NNIP was applied to several key phenomena necessary for understanding hydrogen embrittlement, such as hydrogen charging and discharging to α-iron, hydrogen transportation in defective α-iron, hydrogen trapping and desorption at the defects, and hydrogen-assisted cracking at the grain boundary. Unlike the existing interatomic potentials, the NNIP simulations quantitatively described the atomistic details of hydrogen behavior in the defective α-iron system with DFT accuracy.

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  • Received 16 August 2021
  • Revised 7 October 2021
  • Accepted 26 October 2021

DOI:https://doi.org/10.1103/PhysRevMaterials.5.113606

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Fan-Shun Meng1,2,*, Jun-Ping Du3,1, Shuhei Shinzato1, Hideki Mori4, Peijun Yu1, Kazuki Matsubara5, Nobuyuki Ishikawa5, and Shigenobu Ogata1,3,†

  • 1Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan
  • 2School of Science, Liaoning University of Technology, Jinzhou 121001, China
  • 3Center for the Element Strategy Initiative for Structural Materials (ESISM), Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan
  • 4Department of Mechanical Engineering, College of Industrial Technology, Hyogo 661-0047, Japan
  • 5Steel Research Laboratory, JFE Steel Corporation, Kawasaki 210-0855, Japan

  • *Author to whom correspondence should be addressed: fanshun.meng@tsme.me.es.osaka-u.ac.jp
  • ogata@me.es.osaka-u.ac.jp

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Issue

Vol. 5, Iss. 11 — November 2021

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