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Highly efficient spin-orbit torque switching of perpendicular magnetization using topological insulators with a high thermal stability

ORAL

Abstract

Recent advances in using topological insulators (TIs) with ferromagnets (FMs) at room temperature have opened up an innovative avenue in spin-orbit torque non-volatile magnetic memory and low dissipation electronics applications. However, a major challenge of direct integration of TIs with a perpendicularly magnetized FM remains in retaining an extraordinary charge-to-spin conversion efficiency in TIs. In addition, the indispensable thermal compatibility with modern CMOS technologies has not yet been achieved in TI-based structures. In this talk, we will demonstrate the high-quality integration of perpendicularly magnetized FM with TI through a light metal insertion layer and achieved efficient magnetization switching at ambient temperature. The energy efficiency of TIs is at least an order magnitude larger than those typical values of heavy metals (e.g., Ta, Pt, etc.). Moreover, we demonstrate that the current-induced magnetization switching and perpendicular magnetic anisotropy of the integrated FM can be well preserved for an annealing temperature up to 400C. The compatibility of our TI-based thin films with the modern CMOS back-end-of-line process paves the way towards TI-based low-dissipation spintronic applications.

Presenters

  • Quanjun Pan

    Department of Electrical and Computer Engineering, University of California, Los Angeles

Authors

  • Quanjun Pan

    Department of Electrical and Computer Engineering, University of California, Los Angeles

  • Yuting Liu

    Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology

  • Hao Wu

    Department of Electrical and Computer Engineering, University of California, Los Angeles

  • Peng Zhang

    University of California, Los Angeles, Department of Electrical and Computer Engineering, University of California, Los Angeles

  • Hanshen Huang

    Department of Electrical and Computer Engineering, University of California, Los Angeles

  • Xiaoyu Che

    Department of Electrical and Computer Engineering, University of California, Los Angeles

  • Yingying Wu

    University of California, Los Angeles, Department of Electrical and Computer Engineering, University of California, Los Angeles

  • Bingqian Dai

    Department of Electrical and Computer Engineering, University of California, Los Angeles

  • Qiming Shao

    Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology

  • Kang-Lung Wang

    Department of Electrical and Computer Engineering, University of California, Los Angeles, University of California, Los Angeles