Litcius/Paper detail

Ultralow Energy Domain Wall Device for Spin-Based Neuromorphic Computing

Durgesh Kumar, Hong Jing Chung, Jianpeng Chan, Tianli Jin, Sze Ter Lim, S. Parkin, R. Sbiaa, S. N. Piramanayagam

2023ACS Nano53 citationsDOIOpen Access PDF

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 10 6 A/m 2 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 10 4 . 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.

Topics & Concepts

Neuromorphic engineeringSpintronicsPower (physics)Coupling (piping)Materials scienceOptoelectronicsEnergy (signal processing)Domain wall (magnetism)Computer sciencePhysicsElectrical engineeringCondensed matter physicsArtificial neural networkMagnetic fieldEngineeringFerromagnetismArtificial intelligenceQuantum mechanicsMagnetizationMetallurgyAdvanced Memory and Neural ComputingMagnetic properties of thin filmsFerroelectric and Negative Capacitance Devices