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Prediction of perovskite-related structures in ACuO3x (A = Ca, Sr, Ba, Sc, Y, La) using density functional theory and Bayesian optimization

Atsuto Seko and Shintaro Ishiwata
Phys. Rev. B 101, 134101 – Published 6 April 2020

Abstract

Oxygen vacancy ordering in perovskite-type transition-metal oxides plays an important role in the emergence of exotic electronic properties, as typified by superconducting cuprates. In this study, we predict the stability of oxygen-deficient perovskite structures in ACuO3x (A = Ca, Sr, Ba, Sc, Y, La) by density functional theory calculation. We introduce a combination of the cluster expansion method, Gaussian process, and Bayesian optimization to find stable oxygen-deficient structures among a considerable number of candidates. Our calculations not only reproduce the reported structures but suggest the presence of several unknown oxygen-deficient perovskite structures, some of which are stabilized at high pressures. This work demonstrates the great applicability of the present computational procedure for the elucidation of the structural stability of strongly correlated oxides with a large tolerance for oxygen deficiency.

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  • Received 3 February 2020
  • Accepted 13 March 2020

DOI:https://doi.org/10.1103/PhysRevB.101.134101

©2020 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied PhysicsStatistical Physics & Thermodynamics

Authors & Affiliations

Atsuto Seko1,2,3,* and Shintaro Ishiwata4

  • 1Department of Materials Science and Engineering, Kyoto University, Kyoto 606-8501, Japan
  • 2Center for Elements Strategy Initiative for Structure Materials, Kyoto University, Kyoto 606-8501, Japan
  • 3Center for Materials Research by Information Integration, National Institute for Materials Science, Tsukuba 305-0047, Japan
  • 4Division of Materials Physics, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka 560-8531, Japan

  • *seko@cms.mtl.kyoto-u.ac.jp

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Issue

Vol. 101, Iss. 13 — 1 April 2020

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