Performance of the standard exchange-correlation functionals in predicting melting properties fully from first principles

Application to Al and magnetic Ni

Journal Article (2020)
Author(s)

Li Fang Zhu (Max-Planck-Institut für Eisenforschung)

Fritz Körmann (TU Delft - (OLD) MSE-7, Max-Planck-Institut für Eisenforschung)

Andrei V. Ruban (KTH Royal Institute of Technology, Materials Center Leoben GmbH)

Jörg Neugebauer (Max-Planck-Institut für Eisenforschung)

Blazej Grabowski (University of Stuttgart)

Research Group
(OLD) MSE-7
Copyright
© 2020 Li Fang Zhu, F.H.W. Körmann, Andrei V. Ruban, Jörg Neugebauer, Blazej Grabowski
DOI related publication
https://doi.org/10.1103/PhysRevB.101.144108
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Li Fang Zhu, F.H.W. Körmann, Andrei V. Ruban, Jörg Neugebauer, Blazej Grabowski
Research Group
(OLD) MSE-7
Issue number
14
Volume number
101
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Abstract

We apply the efficient two-optimized references thermodynamic integration using Langevin dynamics method [Phys. Rev. B 96, 224202 (2017)2469-995010.1103/PhysRevB.96.224202] 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.