Neuromorphic Computing with the Ferromagnetic/Antiferromagnetic SOT Systems: The Role of Emerging Antiferromagnetic Phase

Durgesh Kumar Ojha, Yu Hsin Huang, Yu Lon Lin, Ratnamala Chatterjee, Wen Yueh Chang, Yuan Chieh Tseng

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

1 Scopus citations

Abstract

Field-free switching is pivotal for ushering in the era of high-density memory expansion. Field-free spin-orbit torque (SOT) switching is achieved by the W/Pt/Co/NiO/Pt device through perpendicular exchange bias under a minimal current density. A SOT-based memristor and current-induced gradual switching behavior are realized to construct spin-based artificial synapses and sigmoidal neurons for neuromorphic computing. An artificial neural network (ANN) is implemented to recognize MNIST handwritten digits and characters, achieving impressive accuracy rates of9195%, depending on the robustness of the NiO antiferromagnetic ordering. Our finding opens promising pathways for advancing field-free spintronic devices and revolutionizing the landscape of neuromorphic computing.

Original languageEnglish
Title of host publication2024 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350362213
DOIs
StatePublished - 2024
Event2024 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2024 - Rio de Janeiro, Brazil
Duration: 5 May 202410 May 2024

Publication series

Name2024 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2024 - Proceedings

Conference

Conference2024 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2024
Country/TerritoryBrazil
CityRio de Janeiro
Period5/05/2410/05/24

Keywords

  • antiferromagnetic
  • exchange bias
  • neuromorphic computing
  • NiO
  • spin-orbit torque

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