Use of analog spintronics device in performing neuro-morphic computing functions

Shunsuke Fukami, William A. Borders, Aleksandr Kurenkov, Chaoliang Zhang, Samik DuttaGupta, Hideo Ohno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Since spintronics devices are capable of retaining digital information as -Their magnetization direction, development of nonvolatile memories, so-called magnetoresistive random access memories (MRAMs), to realize low-power integrated circuits with -The von Neumann architecture has been one of -The mainstream outlets of spintronics research pursued in -The last several decades. Meanwhile, neuromorphic-computing hardware with non-von Neumann architecture has started to attract a great deal of attention in -The field of microelectronics. Neuromorphic computing allows for completion of complex tasks at high speeds and at low power consumption levels that conventional von Neumann computers struggle with [1,2]. Recent researches point out that -The spintronics devices also have -The capable characteristics to model -The human brain [3-5]. In this presentation, we describe a proof-of-concept demonstration of an associative memory operation like -The human brain using a spintronics device [6]. For this purpose, we employ a recently-found spin-orbit torque (SOT) induced switching [7-9] device consisting of an antiferromagnet (AFM)/ ferromagnet (FM) stack structure [10-12], which shows an analogue-like resistance switching and thus serves as an artificial synapse in artificial neural networks.

Original languageEnglish
Title of host publication2017 5th Berkeley Symposium on Energy Efficient Electronic Systems, E3S 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
ISBN (Electronic)9781538632901
DOIs
Publication statusPublished - 2017 Jun 28
Event5th Berkeley Symposium on Energy Efficient Electronic Systems, E3S 2017 - Berkeley, United States
Duration: 2017 Oct 192017 Oct 20

Publication series

Name2017 5th Berkeley Symposium on Energy Efficient Electronic Systems, E3S 2017 - Proceedings
Volume2018-January

Other

Other5th Berkeley Symposium on Energy Efficient Electronic Systems, E3S 2017
CountryUnited States
CityBerkeley
Period17/10/1917/10/20

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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    Fukami, S., Borders, W. A., Kurenkov, A., Zhang, C., DuttaGupta, S., & Ohno, H. (2017). Use of analog spintronics device in performing neuro-morphic computing functions. In 2017 5th Berkeley Symposium on Energy Efficient Electronic Systems, E3S 2017 - Proceedings (pp. 1-3). (2017 5th Berkeley Symposium on Energy Efficient Electronic Systems, E3S 2017 - Proceedings; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/E3S.2017.8246168