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Ultralow energy domain wall device for spin-based neuromorphic computing

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Parkin,  Stuart S. P.       
Nano-Systems from Ions, Spins and Electrons, Max Planck Institute of Microstructure Physics, Max Planck Society;

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Citation

Kumar, D., Chung, H. J., Chan, J., Jin, T., Ter Lim, S., Parkin, S. S. P., et al. (2023). Ultralow energy domain wall device for spin-based neuromorphic computing. ACS Nano, 17(7), 6261-6274. doi:10.1021/acsnano.2c09744.


Cite as: https://hdl.handle.net/21.11116/0000-000D-33BA-8
Abstract
Neuromorphic computing (NC) is gaining wide acceptance as a potential technology to achieve low-power intelligent devices. To realize NC, researchers investigate various types of synthetic neurons and synaptic devices, such as memristors and spintronic devices. In comparison, spintronics-based neurons and synapses have potentially higher endurance. However, for realizing low-power devices, domain wall (DW) devices that show DW motion at low energies─typically below pJ/bit─are favored. Here, we demonstrate DW motion at current densities as low as 106 A/m2 by engineering the β-W spin–orbit coupling (SOC) material. With our design, we achieve ultralow pinning fields and current density reduction by a factor of 104. The energy required to move the DW by a distance of about 18.6 μm is 0.4 fJ, which translates into the energy consumption of 27 aJ/bit for a bit-length of 1 μm. With a meander DW device configuration, we have established a controlled DW motion for synapse applications and have shown the direction to make ultralow energy spin-based neuromorphic elements.