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Updated: Jun 23, 2026

Magnetic Tweezers for the Measurement of Twist and Torque
11:41

Magnetic Tweezers for the Measurement of Twist and Torque

Published on: May 19, 2014

Spin-orbit torque-driven propagating spin waves.

H Fulara1, M Zahedinejad1,2, R Khymyn1

  • 1Physics Department, University of Gothenburg, 412 96 Gothenburg, Sweden.

Science Advances
|December 5, 2019
PubMed
Summary
This summary is machine-generated.

Spin-orbit torque (SOT) enables spin wave (SW) auto-oscillations in spin Hall nano-oscillators (SHNOs). This study demonstrates efficient generation of propagating SWs for advanced nanomagnonics and neuromorphic computing.

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Last Updated: Jun 23, 2026

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Published on: May 19, 2014

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06:42

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Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations

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Area of Science:

  • Spintronics
  • Nanomagnetics
  • Microwave devices

Background:

  • Spin-orbit torque (SOT) drives spin wave (SW) auto-oscillations in spin Hall nano-oscillators (SHNOs).
  • Current SHNOs utilize localized SW modes, limiting data transfer and computational functionality.
  • Propagating SWs are crucial for advanced nanomagnonics and SW interference applications.

Purpose of the Study:

  • To demonstrate SOT-driven propagating SWs in magnetic nanoconstrictions.
  • To achieve efficient generation of tunable propagating SWs at frequencies above the SW gap.
  • To expand the functionality of SHNOs for nanomagnonics and neuromorphic computing.

Main Methods:

  • Utilizing perpendicular magnetic anisotropy in magnetic nanoconstrictions.
  • Applying spin-orbit torque to induce auto-oscillations.
  • Generating and tuning propagating spin waves via magnetic field and current.

Main Results:

  • Efficient generation of field and current tunable propagating SWs.
  • Achieved auto-oscillation frequencies well above the SW gap.
  • Demonstrated long-range SOT-driven SW propagation.

Conclusions:

  • Perpendicular magnetic anisotropy enables high-frequency SOT-driven propagating SWs.
  • This work significantly enhances SHNOs' capabilities for nanomagnonics and neuromorphic computing.
  • The developed technology is compatible with CMOS fabrication.