First-principles interatomic potentials for ten elemental metals via compressed sensing

Atsuto Seko, Akira Takahashi, and Isao Tanaka
Phys. Rev. B 92, 054113 – Published 31 August 2015

Abstract

Interatomic potentials have been widely used in atomistic simulations such as molecular dynamics. Recently, frameworks to construct accurate interatomic potentials that combine a set of density functional theory (DFT) calculations with machine learning techniques have been proposed. One of these methods is to use compressed sensing to derive a sparse representation for the interatomic potential. This facilitates the control of the accuracy of interatomic potentials. In this study, we demonstrate the applicability of compressed sensing to deriving the interatomic potential of ten elemental metals, namely, Ag, Al, Au, Ca, Cu, Ga, In, K, Li, and Zn. For each elemental metal, the interatomic potential is obtained from DFT calculations using elastic net regression. The interatomic potentials are found to have prediction errors of less than 3.5 meV/atom, 0.03 eV/Å, and 0.15 GPa for the energy, force, and the stress tensor, respectively, which enable the accurate prediction of physical properties such as lattice constants and the phonon dispersion relationship.

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  • Received 18 May 2015
  • Revised 7 July 2015

DOI:https://doi.org/10.1103/PhysRevB.92.054113

©2015 American Physical Society

Authors & Affiliations

Atsuto Seko1,2,*, Akira Takahashi1, and Isao Tanaka1,2,3

  • 1Department of Materials Science and Engineering, Kyoto University, Kyoto 606-8501, Japan
  • 2Center for Elements Strategy Initiative for Structure Materials (ESISM), Kyoto University, Kyoto 606-8501, Japan
  • 3Nanostructures Research Laboratory, Japan Fine Ceramics Center, Nagoya 456-8587, Japan

  • *seko@cms.mtl.kyoto-u.ac.jp

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Vol. 92, Iss. 5 — 1 August 2015

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