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Ultralow Energy Domain Wall Device for Spin-Based Neuromorphic Computing.

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Researchers engineered beta-tungsten (β-W) materials to demonstrate domain wall (DW) motion at extremely low energies, paving the way for ultralow-power neuromorphic computing devices.

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Area of Science:

  • Materials Science
  • Spintronics
  • Neuromorphic Computing

Background:

  • Neuromorphic computing (NC) aims for low-power intelligent devices.
  • Spintronic devices offer high endurance for synthetic neurons and synapses.
  • Domain wall (DW) devices are favored for low-energy operation in NC.

Purpose of the Study:

  • To demonstrate ultralow-energy domain wall (DW) motion for neuromorphic computing.
  • To engineer beta-tungsten (β-W) materials to reduce energy consumption in DW devices.

Main Methods:

  • Engineered β-W spin-orbit coupling (SOC) material.
  • Demonstrated DW motion at current densities as low as 10^6 A/m^2.
  • Utilized a meander DW device configuration for controlled DW motion.

Main Results:

  • Achieved ultralow pinning fields and reduced current density by 10^4.
  • Measured energy consumption of 0.4 fJ for 18.6 μm DW motion.
  • Attained an energy consumption of 27 aJ/bit for a 1 μm bit length.

Conclusions:

  • Demonstrated a viable path towards ultralow energy consumption in spin-based neuromorphic elements.
  • Controlled DW motion in a meander device configuration is suitable for synapse applications.
  • Engineered β-W materials show significant potential for energy-efficient neuromorphic devices.