• Open Access

Ab initio Quantum Monte Carlo Calculations of Spin Superexchange in Cuprates: The Benchmarking Case of Ca2CuO3

Kateryna Foyevtsova, Jaron T. Krogel, Jeongnim Kim, P. R. C. Kent, Elbio Dagotto, and Fernando A. Reboredo
Phys. Rev. X 4, 031003 – Published 8 July 2014

Abstract

In view of the continuous theoretical efforts aimed at an accurate microscopic description of the strongly correlated transition metal oxides and related materials, we show that with continuum quantum Monte Carlo (QMC) calculations it is possible to obtain the value of the spin superexchange coupling constant of a copper oxide in a quantitatively excellent agreement with experiment. The variational nature of the QMC total energy allows us to identify the best trial wave function out of the available pool of wave functions, which makes the approach essentially free from adjustable parameters and thus truly ab initio. The present results on magnetic interactions suggest that QMC is capable of accurately describing ground-state properties of strongly correlated materials.

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  • Received 26 February 2014

DOI:https://doi.org/10.1103/PhysRevX.4.031003

This article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Authors & Affiliations

Kateryna Foyevtsova1, Jaron T. Krogel1, Jeongnim Kim1, P. R. C. Kent2, Elbio Dagotto1,3, and Fernando A. Reboredo1

  • 1Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
  • 2Center for Nanophase Materials Sciences and Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
  • 3Department of Physics and Astronomy, The University of Tennessee, Knoxville, Tennessee 37996, USA

Popular Summary

Modern advances in computer technologies favor the development of statistical methods in theoretical physics based on random numbers. These methods can now be pushed to more complex physical systems and finer energy resolutions. In condensed matter physics and quantum chemistry, quantum Monte Carlo methods are known to provide an exceptionally accurate description of an interacting many-body system. However, until recently, quantum Monte Carlo methods have typically been applied to systems composed of light elements because of computational demands. Now, quantum Monte Carlo methods can be applied to problems that have remained unsolved for decades, such as cuprates. These oxide materials exhibit remarkable phenomena, including high-temperature superconductivity, which may originate from magnetic spin excitations. We use quantum Monte Carlo methods to study the magnetic properties of the Mott insulator Ca2CuO3, an effectively one-dimensional counterpart of the famous high-temperature superconducting cuprates.

We focus on Ca2CuO3 because of its relatively light atoms, which minimize relativistic effects. We evaluate the strength of the superexchange magnetic interaction between the localized Cu ion spins. We find that the value of the spin superexchange interaction constant obtained by quantum Monte Carlo methods is in very good quantitative agreement with experimental results. Contrary to some alternative theoretical electronic structure methods, such as density-functional theory, our approach can greatly reduce the dependence of the final result on the starting approximation, as it is largely free of adjustable parameters.

Our successful application of quantum Monte Carlo methods to a cuprate material reveals the power of this method at efficiently handling the strong electronic correlations of transition metal oxides.

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Vol. 4, Iss. 3 — July - September 2014

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It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 3.0 License. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

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