Analogue spin-orbit torque device for artificial-neural-network-based associative memory operation

William A. Borders, Hisanao Akima, Shunsuke Fukami, Satoshi Moriya, Shouta Kurihara, Yoshihiko Horio, Shigeo Sato, Hideo Ohno

Research output: Contribution to journalArticlepeer-review

120 Citations (Scopus)


We demonstrate associative memory operations reminiscent of the brain using nonvolatile spintronics devices. Antiferromagnet-ferromagnet bilayer-based Hall devices, which show analogue-like spin-orbit torque switching under zero magnetic fields and behave as artificial synapses, are used. An artificial neural network is used to associate memorized patterns from their noisy versions. We develop a network consisting of a fieldprogrammable gate array and 36 spin-orbit torque devices. An effect of learning on associative memory operations is successfully confirmed for several 3 ' 3-block patterns. A discussion on the present approach for realizing spintronics-based artificial intelligence is given.

Original languageEnglish
Article number013007
JournalApplied Physics Express
Issue number1
Publication statusPublished - 2017 Jan

ASJC Scopus subject areas

  • Engineering(all)
  • Physics and Astronomy(all)


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