Published November 15, 2025 | Version Published
Journal Article Open

Strain-influenced hydrogen segregation in polycrystalline nickel

  • 1. ROR icon Norwegian University of Science and Technology
  • 2. ROR icon Kyushu University
  • 3. ROR icon Jiangnan University
  • 4. ROR icon California Institute of Technology
  • 5. ROR icon SINTEF
  • 6. ROR icon Uppsala University

Abstract

Interstitial hydrogen at grain boundaries (GBs) can significantly compromise material strength, leading to catastrophic intergranular fracture. However, the intricate interaction between hydrogen and GBs remains inadequately understood, particularly under complex external loading conditions. In this study, we use atomistic simulations and a geometrical algorithm to elucidate the hydrogen segregation energy spectrum at the GBs of polycrystalline nickel under various loading strategies. Three distinct peaks are identified in all spectra, with segregation energy decreasing under increasing tensile loading. Four types of loading—triaxial compression, uniaxial tension, uniaxial straining, and triaxial tension—are applied, with triaxial tension causing the most dramatic spectrum shift. Notably, a linear relationship between hydrogen segregation energy and local volume change is established for the first time. This relationship reveals that hydrogen solution is almost exclusively determined by local volume change, irrespective of the loading conditions. Uniquely in the spectrum of the uniaxial tension case, a fourth peak emerges, signifying a group of super-trapping sites formed through early-stage dislocation-GB interactions. These findings underscore the distinguishable impact of both elastic and plastic deformation on hydrogen distribution in polycrystals. Furthermore, hydrogen diffusion coefficients are derived through mean square displacement analysis, revealing the hydrogen diffusivity in the lattice and GBs under various loading conditions. This study provides critical insights into hydrogen embrittlement in polycrystalline materials, essential for developing more resilient hydrogen storage and transport systems.

Copyright and License

© 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Funding

This work was also supported by the Research Council of Norway under the Helife project (No. 344297), HyLINE II (No. 344377), MatHias Project (No. 347726) and H2Ninja Project (No. 309378). All simulation resources are provided by the Norwegian Metacenter for Computational science (Grant No. NN9110K, NN9391K).

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Additional details

Funding

The Research Council of Norway
344297
The Research Council of Norway
344377
The Research Council of Norway
347726
The Research Council of Norway
309378
The Research Council of Norway
Norwegian Metacenter for Computational science NN9110K
The Research Council of Norway
Norwegian Metacenter for Computational science NN9391K

Dates

Accepted
2025-09-08
Available
2025-09-10
Available online
Available
2025-09-17
Version of record

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Caltech groups
GALCIT, Division of Engineering and Applied Science (EAS)
Publication Status
Published