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Ultralow Energy Domain Wall Device for Spin-Based Neuromorphic Computing

Authors :
Kumar, Durgesh
Chung, Hong Jing
Chan, JianPeng
Jin, Tianli
Lim, Sze Ter
Parkin, Stuart S. P.
Sbiaa, Rachid
Piramanayagam, S. N.
Source :
ACS Nano; 20230101, Issue: Preprints
Publication Year :
2023

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 106A/m2by 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.

Details

Language :
English
ISSN :
19360851 and 1936086X
Issue :
Preprints
Database :
Supplemental Index
Journal :
ACS Nano
Publication Type :
Periodical
Accession number :
ejs62589776
Full Text :
https://doi.org/10.1021/acsnano.2c09744