Nonlinear Anomalous Hall Effect for Néel Vector Detection

Ding-Fu Shao, Shu-Hui Zhang, Gautam Gurung, Wen Yang, and Evgeny Y. Tsymbal
Phys. Rev. Lett. 124, 067203 – Published 14 February 2020
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Abstract

Antiferromagnetic (AFM) spintronics exploits the Néel vector as a state variable for novel spintronic devices. Recent studies have shown that the fieldlike and antidamping spin-orbit torques (SOTs) can be used to switch the Néel vector in antiferromagnets with proper symmetries. However, the precise detection of the Néel vector remains a challenging problem. In this Letter, we predict that the nonlinear anomalous Hall effect (AHE) can be used to detect the Néel vector in most compensated antiferromagnets supporting the antidamping SOT. We show that the magnetic crystal group symmetry of these antiferromagnets combined with spin-orbit coupling produce a sizable Berry curvature dipole and hence the nonlinear AHE. As a specific example, we consider the half-Heusler alloy CuMnSb, in which the Néel vector can be switched by the antidamping SOT. Based on density-functional theory calculations, we show that the nonlinear AHE in CuMnSb results in a measurable Hall voltage under conventional experimental conditions. The strong dependence of the Berry curvature dipole on the Néel vector orientation provides a new detection scheme of the Néel vector based on the nonlinear AHE. Our predictions enrich the material platform for studying nontrivial phenomena associated with the Berry curvature and broaden the range of materials useful for AFM spintronics.

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  • Received 26 July 2019
  • Accepted 23 January 2020

DOI:https://doi.org/10.1103/PhysRevLett.124.067203

© 2020 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Ding-Fu Shao1,*,§, Shu-Hui Zhang2,†,§, Gautam Gurung1, Wen Yang3, and Evgeny Y. Tsymbal1,‡

  • 1Department of Physics and Astronomy and Nebraska Center for Materials and Nanoscience, University of Nebraska, Lincoln, Nebraska 68588-0299, USA
  • 2College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, People’s Republic of China
  • 3Beijing Computational Science Research Center, Beijing 100193, People’s Republic of China

  • *dfshao@unl.edu
  • shuhuizhang@mail.buct.edu.cn
  • tsymbal@unl.edu
  • §These authors contributed equally to this work.

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Issue

Vol. 124, Iss. 6 — 14 February 2020

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