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Current switching of resistive states in magnetoresistive manganites

Author

Listed:
  • A. Asamitsu

    (*Joint Research Center for Atom Technology (JRCAT))

  • Y. Tomioka

    (*Joint Research Center for Atom Technology (JRCAT))

  • H. Kuwahara

    (*Joint Research Center for Atom Technology (JRCAT))

  • Y. Tokura

    (*Joint Research Center for Atom Technology (JRCAT)
    University of Tokyo)

Abstract

Magnetoresistive devices (based on, for example, magnetic multilayers1) exhibit large changes in electrical resistance in response to a magnetic field, which has led to dramatic improvements in the data density and reading speed of magnetic recording systems. Manganese oxides having a perovskite structure (the so-called manganites) can exhibit a magnetoresistive response that is many orders of magnitude larger than that found for other materials, and there is therefore hope that these compounds might similarly be exploited for recording applications2,3,4,5,6,7,8,9,10,11. Here we show that the switching of resistive states in the manganites can be achieved not only by a magnetic field, but also by an electric field. For manganites of the form Pr1−xCaxMnO3, we find that an electrical current (and by implication a static electric field) triggers the collapse of the low-temperature, electrically insulating charge-ordered state to a metallic ferromagnetic state. We suggest that such a phenomenon could be exploited to pattern conducting ferromagnetic domains within an insulating antiferromagnetic matrix, and so provide a route for fabricating micrometre- or nanometre-scale electromagnets.

Suggested Citation

  • A. Asamitsu & Y. Tomioka & H. Kuwahara & Y. Tokura, 1997. "Current switching of resistive states in magnetoresistive manganites," Nature, Nature, vol. 388(6637), pages 50-52, July.
  • Handle: RePEc:nat:nature:v:388:y:1997:i:6637:d:10.1038_40363
    DOI: 10.1038/40363
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    Cited by:

    1. Setoudeh, F. & Sedigh, A. Khaki, 2021. "Nonlinear analysis and minimum L2-norm control in memcapacitor-based hyperchaotic system via online particle swarm optimization," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    2. Setoudeh, Farbod & Dousti, Massoud, 2022. "Analysis and implementation of a meminductor-based colpitts sinusoidal oscillator," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).

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