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Development of new interatomic potentials appropriate for crystalline and liquid iron

Mendelev, M. I., Han, S., Srolovitz, D. J., Ackland, G. J., Sun, D. Y., Asta, M.·2003·Philosophical Magazine

Abstract

Two procedures were developed to fit interatomic potentials of the embedded-atom method (EAM) form and applied to determine a potential which describes crystalline and liquid iron. While both procedures use perfect crystal and crystal defect data, the first procedure also employs the first-principles forces in a model liquid and the second procedure uses experimental liquid structure factor data. These additional types of information were incorporated to ensure more reasonable descriptions of atomic interactions at small separations than is provided using standard approaches, such as fitting to the universal binding energy relation. The new potentials (provided herein) are, on average, in better agreement with the experimental or first-principles lattice parameter, elastic constants, point-defect energies, bcc–fcc transformation energy, liquid density, liquid structure factor, melting temperature and other properties than other existing EAM iron potentials.

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Metadata

Authors
Mendelev, M. I., Han, S., Srolovitz, D. J., Ackland, G. J., Sun, D. Y., & Asta, M.
Venue
Philosophical Magazine
Published
2003-12
Volume
83
Issue
35
Pages
3977-3994
ISSN
  • 1478-6433 (ISSN-L)
  • 1478-6435
  • 1478-6443
OpenAlex
W2114258860
Cited by
1,343
References
3
FWCI
10.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development of new interatomic potentials appropriate for crystalline and liquid iron. https://app.cochat.ai/papers/10.1080/14786430310001613264
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Mendelev, M. I., Han, S., Srolovitz, D. J., Ackland, G. J., Sun, D. Y., & Asta, M. (2003). Development of new interatomic potentials appropriate for crystalline and liquid iron. Philosophical Magazine. https://doi.org/10.1080/14786430310001613264

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.