First-principles study of spin spirals in the multiferroic BiFeO3

Bin Xu, Sebastian Meyer, Matthieu J. Verstraete, Laurent Bellaiche, Bertrand Dupé

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We carry out density functional theory (DFT) calculations to explore the antiferromagnetic (AFM) spin cycloid in multiferroic BiFeO3 of the R3c ground state structure. We calculate the energy dispersion E(q) of cycloidal spin spirals along the high symmetry directions of the pseudo-cubic unit cell and find a flat AFM spin spiral (or cycloid) ground state with a periodicity of ∼80 nm, which is in good agreement with experiments. To investigate which structural distortion of the R3c phase is the driving mechanism for the stabilization of this cycloid, we further study three artificial phases: cubic, R3¯c, and R3m. In all cases, we find a large exchange frustration. The comparison between these phases provides detailed insight about how polarization and octahedral antiphase tilting affect the different magnetic interactions and the magnetic ground state in BiFeO3. In R3cBiFeO3, the magnetic ground state is driven by a competition between the frustrated exchange stemming from the hybridization between the elements Bi, Fe, O and the Dzyaloshinskii-Moriya (DM) interaction due to the Fe-Bi ferroelectric displacement. The cycloid appears to be stable because the anisotropy energy in R3cBiFeO3 is relatively small to enforce a collinear order.

Original languageEnglish
Article number214423
JournalPhysical Review B
Volume103
Issue number21
DOIs
Publication statusPublished - 1 Jun 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 American Physical Society.

Funding

This work is supported by the National Natural Science Foundation of China under Grant No. 12074277, Natural Science Foundation of Jiangsu Province (BK20201404), the startup fund from Soochow University and the support from Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions. S.M., M.J.V., B.D., and L.B. acknowledge the DARPA Grant No. HR0011727183-D18AP00010 (TEE Program). L.B. also thanks ARO Grant No. W911NF-21-1-0113. M.J.V. acknowledges funding by the Belgian FNRS (PDR G.A. T.1077.15, T.0103.19, and an “out” sabbatical grant to ICN2 Barcelona), and the Communauté Française de Belgique (ARC AIMED G.A. 15/19-09). This work used the ARCHER2 UK National Supercomputing Service and further computational resources have been provided by the Blue Waters sustained-petascale computing project at the National Center for Supercomputing Applications (NCSA).

FundersFunder number
Belgian FNRST.0103.19
Communauté Française de Belgique
United States Army Research OfficeW911NF-21-1-0113
Defense Advanced Research Projects AgencyHR0011727183-D18AP00010
Australian Research Council15/19-09
National Natural Science Foundation of China12074277
Natural Science Foundation of Jiangsu ProvinceBK20201404
Soochow University
Priority Academic Program Development of Jiangsu Higher Education Institutions

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