Impact of lattice relaxations on phase transitions in a high-entropy alloy 
studied by machine-learning potentials

Kostiuchenko, Tatiana; Körmann, Fritz; Neugebauer, Jörg; Shapeev, Alexander

doi:10.1038/s41524-019-0195-y

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Impact of lattice relaxations on phase transitions in a high-entropy alloy studied by machine-learning potentials

Kostiuchenko, T., Körmann, F., Neugebauer, J., & Shapeev, A. (2019). Impact of lattice relaxations on phase transitions in a high-entropy alloy studied by machine-learning potentials. npj Computational Materials, 5(1): 55. doi:10.1038/s41524-019-0195-y.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-734B-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-734C-5

Genre: Journal Article

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Creators:
Kostiuchenko, Tatiana¹, Author
Körmann, Fritz², Author
Neugebauer, Jörg², Author
Shapeev, Alexander¹, Author

Affiliations:
1Skolkovo Institute of Science and Technology, Skolkovo Innovation Center, Nobel St. 3, Moscow, 143026, Russian Federation, ou_persistent22
2Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863337

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Language(s): eng - English

Dates: Date issued: 2019-12-01

Publication Status: Issued

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Identifiers: DOI: 10.1038/s41524-019-0195-y

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Title: npj Computational Materials

Abbreviation : npj Comput. Mater.

Source Genre: Journal

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Publ. Info: London : Springer Nature

Pages: - Volume / Issue: 5 (1) Sequence Number: 55 Start / End Page: - Identifier: ISSN: 2057-3960
CoNE: https://pure.mpg.de/cone/journals/resource/2057-3960