Skip to main navigation Skip to search Skip to main content

Spintronic Neuromorphic Devices

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Neuromorphic computing systems have drawn extensive attention due to their massive parallelism, the combination of storage and computation, high energy efficiency, and inherent tolerance to fault and variation. Spintronic devices, which exploit both the charge and spin properties of electrons for information processing and storage, are considered as one of the most promising candidates owing to their low power, nearly infinite endurance, good scalability, and compatibility with the complementary metal oxide semiconductor (CMOS) technology. In this chapter, the development of spintronic devices, such as magnetic tunnel junction (MTJ), spintronic memristor, skyrmion, and spin torque oscillator (STO), that mimic the functionalities of the biological synapses and neurons for neuromorphic computing is reviewed, and the challenges that need to be addressed in future research are discussed.

Original languageEnglish
Title of host publicationNeuromorphic Devices for Brain-Inspired Computing
Subtitle of host publicationArtificial Intelligence, Perception and Robotics
Publisherwiley
Pages47-89
Number of pages43
ISBN (Electronic)9783527835317
ISBN (Print)9783527349791
DOIs
StatePublished - 1 Jan 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Magnetic tunneling junction (MTJ)
  • Neuromorphic computing
  • Neuron
  • Skyrmion
  • Spin torque oscillator (STO)
  • Spintronic device
  • Spintronic memristor
  • Synapse

Fingerprint

Dive into the research topics of 'Spintronic Neuromorphic Devices'. Together they form a unique fingerprint.

Cite this