Spin Orbit Torque Tunable Skyrmion Neuromorphic Devices

Aijaz H. Lone, Xuecui Zou, Glen Isaac Mac Iel Garcia, Xiaohang Li, Hossein Fariborzi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Skyrmionic devices are promising candidates for energy efficient and highly integrated data storage and computing applications, owing to their small size, topological protection, and low drive current. In this abstract we propose novel spin orbit torque (SOT) controlled skyrmion device structures and their application in neuromorphic computing. We propose a spin orbit torque-driven SOT skyrmion magnetic tunnel junction (MTJ) device showing Leaky Integrate and Fire (LIF) neuron behaviour, and a SOT-controlled MTJ synaptic device in which the skyrmion size depends on the thickness of the free layer. Furthermore, we implement the spiking neural network and artificial neural network based on these devices for MNIST data classification.

Original languageEnglish (US)
Title of host publication2022 IEEE International Conference on Emerging Electronics, ICEE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665491853
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Emerging Electronics, ICEE 2022 - Bangalore, India
Duration: Dec 11 2022Dec 14 2022

Publication series

Name2022 IEEE International Conference on Emerging Electronics, ICEE 2022

Conference

Conference2022 IEEE International Conference on Emerging Electronics, ICEE 2022
Country/TerritoryIndia
CityBangalore
Period12/11/2212/14/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • LIF neuron
  • magnetic tunnel junction
  • neuromorphic computing
  • skyrmion device
  • spin-orbit torque

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Surfaces, Coatings and Films
  • Instrumentation

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