Computational Materials Science2022,Vol.20310.DOI:10.1016/j.commatsci.2021.110840

Interatomic Fe-Cr potential for modeling kinetics on Fe surfaces

Kuopanportti, Pekko Ropo, Matti Holmberg, Daniel Levamaki, Henrik Kokko, Kalevi Granroth, Sari Kuronen, Antti
Computational Materials Science2022,Vol.20310.DOI:10.1016/j.commatsci.2021.110840

Interatomic Fe-Cr potential for modeling kinetics on Fe surfaces

Kuopanportti, Pekko 1Ropo, Matti 2Holmberg, Daniel 1Levamaki, Henrik 2Kokko, Kalevi 2Granroth, Sari 2Kuronen, Antti1
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作者信息

  • 1. Univ Helsinki
  • 2. Univ Turku
  • 折叠

Abstract

To enable accurate molecular dynamics simulations of iron-chromium alloys with surfaces, we develop, based on density-functional-theory (DFT) calculations, a new interatomic Fe-Cr potential in the Tersoff formalism. Contrary to previous potential models, which have been designed for bulk Fe-Cr, we extend our potential fitting database to include not only conventional bulk properties but also surface-segregation energies of Cr in bcc Fe. In terms of reproducing our DFT results for the bulk properties, the new potential is found to be superior to the previously developed Tersoff potential and competitive with the concentration-dependent and two-band embedded-atom-method potentials. For Cr segregation toward the (100) surface of an Fe-Cr alloy, only the new potential agrees with our DFT calculations in predicting preferential segregation of Cr to the topmost surface layer, instead of the second layer preferred by the other potentials. We expect this rectification to foster future research, e.g., on the mechanisms of corrosion resistance of stainless steels at the atomic level.

Key words

Iron-chromium alloy/Molecular dynamics/Tersoff potential/EMBEDDED-ATOM METHOD/ORDER/ALLOYS/MINIMIZATION/ENERGIES/STATE

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
参考文献量69
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