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Area of Science:

  • Physics
  • Materials Science
  • Computer Engineering

Background:

  • Thermally-activated phenomena follow the Arrhenius law, but its application to magnetic tunnel junctions with spin-transfer torque (STT) is debated.
  • The exponents in the Néel-Arrhenius law for STT-driven switching have been difficult to measure in conventional nanomagnets.

Purpose of the Study:

  • To rigorously investigate the Néel-Arrhenius law in superparamagnetic tunnel junctions under STT.
  • To determine the exponents of the thermally-activated switching rate.
  • To explore the potential for probabilistic computing hardware.

Main Methods:

  • Utilized superparamagnetic tunnel junctions for high sensitivity to perturbations.
  • Employed homodyne-detected ferromagnetic resonance.
  • Conducted nanosecond STT switching experiments.
  • Analyzed random telegraph noise.

Main Results:

  • Successfully determined the exponents for the thermally-activated switching rate.
  • Demonstrated that results align with the concept of local bifurcation.
  • Showcased superparamagnetic tunnel junctions as effective testers for statistical physics.

Conclusions:

  • The study provides a rigorous mathematical foundation for understanding STT in magnetic tunnel junctions.
  • Superparamagnetic tunnel junctions are valuable for statistical physics research.
  • These findings enable sophisticated engineering of probabilistic computing hardware.