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Achieving an efficient control of antiferromagnetic order in artificial layered iridates

POSTER

Abstract

Antiferromagnetic (AFM) materials started to gain traction owing the advantages of reliability, ultrafast dynamics, etc. in spintronic applications. In our recent work, we investigated AFM order in layered iridates, which is a newly established Mott system similar to cuprates but features a strong spin-orbit coupling. By building the spin-orbit Mott insulators as SrIrO3/SrTiO3 superlattices, we gained controllability in the strength and sign of interlayer exchange interaction. This enables one to reach the 2D limit of a magnet, where the ordering temperature is only governed by magnetic anisotropy. The 2D antiferromagnet preserves a hidden SU(2) symmetry, which was first proposed in cuprates but never experimentally realized. Specifically, we unveiled that Dzyaloshinskii-Moriya interaction in the square-lattice magnet does not contribute to the spin anisotropy. The extremely strong 2D critical fluctuations enable us to achieve giant AFM responses to sub-tesla magnetic fields. The observed field-induced logarithmic increase of the AFM ordering demonstrates a new pathway for designing efficient AFM spintronics. These results were recently published on Phys. Rev. Lett. [119,027204, (2017)] and Nat. phys. [14, 806--810 (2018)].

Presenters

  • Lin Hao

    University of Tennessee, Knoxville

Authors

  • Lin Hao

    University of Tennessee, Knoxville

  • Derek J Meyers

    Brookhaven National Laboratory

  • Junyi Yang

    University of Tennessee, University of Tennessee, Knoxville

  • Hidemaro Suwa

    University of Tennessee, Knoxville

  • Cristian Batista

    Physics and Astronomy, The University of Tennessee, Neutron Scattering Division and Shull-Wollan Center, Oak Ridge National Laboratory, Department of Physics and Astronomy, The University of Tennessee, University of Tennessee, Knoxville, Department of Physics and Astronomy, University of Tennessee, Knoxville, Department of Physics and Astronomy, University of Tennessee

  • Mark Dean

    Brookhaven national lab, Brookhaven National Lab., Brookhaven National Laboratory

  • Jian Liu

    University of Tennessee, University of Tennessee, Knoxville