• Open Access

Performance of the standard exchange-correlation functionals in predicting melting properties fully from first principles: Application to Al and magnetic Ni

Li-Fang Zhu, Fritz Körmann, Andrei V. Ruban, Jörg Neugebauer, and Blazej Grabowski
Phys. Rev. B 101, 144108 – Published 30 April 2020

Abstract

We apply the efficient two-optimized references thermodynamic integration using Langevin dynamics method [Phys. Rev. B 96, 224202 (2017)] to calculate highly accurate melting properties of Al and magnetic Ni from first principles. For Ni we carefully investigate the impact of magnetism on the liquid and solid free energies including longitudinal spin fluctuations and the reverse influence of atomic vibrations on magnetic properties. We show that magnetic fluctuations are effectively canceling out for both phases and are thus not altering the predicted melting temperature. For both elements, the generalized gradient approximation (GGA) and the local-density approximation (LDA) are used for the exchange-correlation functional revealing a reliable ab initio confidence interval capturing the respective experimental melting point, enthalpy of fusion, and entropy of fusion.

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  • Received 17 January 2020
  • Revised 24 March 2020
  • Accepted 3 April 2020

DOI:https://doi.org/10.1103/PhysRevB.101.144108

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. Open access publication funded by the Max Planck Society.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Li-Fang Zhu1,*, Fritz Körmann1,2, Andrei V. Ruban3,4, Jörg Neugebauer1, and Blazej Grabowski5

  • 1Department for Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max-Planck-strasse 1, 40237 Düsseldorf, Germany
  • 2Department of Materials Science and Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands
  • 3Department of Materials Science and Engineering, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden
  • 4Materials Center Leoben, 8700 Leoben, Austria
  • 5Institute of Materials Science, University of Stuttgart, Pfaffenwaldring 55, 70569 Stuttgart, Germany

  • *l.zhu@mpie.de

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Vol. 101, Iss. 14 — 1 April 2020

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