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Switching plasticity in compensated ferrimagnetic multilayers for neuromorphic computing

Weihao Li, Xiukai Lan, Xionghua Liu, Enze Zhang, Yongcheng Deng, Kaiyou Wang

2022Chinese Physics B18 citationsDOI

Abstract

Current-induced multilevel magnetization switching in ferrimagnetic spintronic devices is highly pursued for the application in neuromorphic computing. In this work, we demonstrate the switching plasticity in Co/Gd ferrimagnetic multilayers where the binary states magnetization switching induced by spin–orbit toque can be tuned into a multistate one as decreasing the domain nucleation barrier. Therefore, the switching plasticity can be tuned by the perpendicular magnetic anisotropy of the multilayers and the in-plane magnetic field. Moreover, we used the switching plasticity of Co/Gd multilayers for demonstrating spike timing-dependent plasticity and sigmoid-like activation behavior. This work gives useful guidance to design multilevel spintronic devices which could be applied in high-performance neuromorphic computing.

Topics & Concepts

Neuromorphic engineeringSpintronicsFerrimagnetismMaterials scienceCondensed matter physicsPlasticitySigmoid functionMagnetizationDomain wall (magnetism)Computer scienceFerromagnetismMagnetic fieldPhysicsArtificial neural networkArtificial intelligenceQuantum mechanicsComposite materialAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesMagnetic properties of thin films
Switching plasticity in compensated ferrimagnetic multilayers for neuromorphic computing | Litcius