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Proposing magnetoimpedance effect for neuromorphic computing.

Loghman Jamilpanah1,2, Alessandro Chiolerio3,4, Marco Crepaldi4

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Researchers utilized the classical magnetoimpedance (MI) effect in magnetic wires to create tunable voltage peaks for neuromorphic computing. This method offers a simple, robust, and low-frequency approach for cognitive tasks.

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Area of Science:

  • Materials Science
  • Spintronics
  • Neuromorphic Computing

Background:

  • Oscillating physical parameters in materials generate peak signals in voltage frequency spectra.
  • Magnetic materials are being explored for neuromorphic computing beyond data storage.
  • Previous work demonstrated tunable voltage peaks using magnetoresistance (MR) in magnetic thin films.

Purpose of the Study:

  • To investigate the use of the classical magnetoimpedance (MI) effect in magnetic wires for neuromorphic computing.
  • To demonstrate the tunability of frequency spectrum peaks using bias voltage.
  • To present a simple, robust, and low-frequency method for cognitive tasks.

Main Methods:

  • Applied a noise signal to a high magnetic permeability magnetic wire.
  • Utilized the frequency-dependent magnetic permeability to achieve frequency-dependent impedance with a peak.
  • Manipulated the peak's frequency and amplitude using bias voltage via the magnetoimpedance (MI) effect.

Main Results:

  • A frequency-dependent impedance with a peak at maximum permeability was observed.
  • Bias voltage application resulted in shifts in the peak position and amplitude due to frequency-dependent MI effect.
  • The method demonstrated tunability of both peak frequency and amplitude.

Conclusions:

  • The classical magnetoimpedance (MI) effect in magnetic wires provides a viable method for generating tunable voltage peaks for neuromorphic applications.
  • This approach offers structural simplicity, low-frequency operation (tens of MHz), and high robustness.
  • The universal approach is applicable to any system exhibiting frequency-dependent bias responses.