Article Iono–Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion‐Gating

Wataru Namiki SAMURAI ORCID (National Institute for Materials ScienceROR) ; Daiki Nishioka SAMURAI ORCID (National Institute for Materials ScienceROR) ; Yuki Nomura ORCID ; Takashi Tsuchiya SAMURAI ORCID (National Institute for Materials ScienceROR) ; Kazuo Yamamoto ORCID ; Kazuya Terabe SAMURAI ORCID (National Institute for Materials ScienceROR)

Collection

Citation
Wataru Namiki, Daiki Nishioka, Yuki Nomura, Takashi Tsuchiya, Kazuo Yamamoto, Kazuya Terabe. Iono–Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion‐Gating. Advanced Science. 2024, 12 (3), 2411777.

Description:

(abstract)

Physical reservoirs are a promising approach for realizing high-performance artificial intelligence devices utilizing physical devices. Although nonlinear interfered spin-wave multi-detection exhibits high nonlinearity and the ability to map in high dimensional feature space, it does not have sufficient performance to process time-series data precisely. Herein, we report our development of an iono-magnonic reservoir by combining such interfered spin wave multi-detection and ion-gating involving protonation-induced redox reaction triggered by the application of voltage. This study is the first to report the manipulation of the propagating spin wave property by ion-gating and the application of same to physical reservoir computing. The subject iono-magnonic reservoir can generate various reservoir states in a single homogenous medium, by utilizing a spin wave property modulated by ion-gating. Utilizing the strong nonlinearity resulting from chaos, the reservoir showed good computational performance in completing the Mackey-Glass chaotic time-series prediction task, and the performance is comparable to that exhibited by simulated neural networks.

Rights:

Keyword: reservoir computing, spin wave, ion-gating

Date published: 2024-11-17

Publisher: Wiley

Journal:

  • Advanced Science (ISSN: 21983844) vol. 12 issue. 3 2411777

Funding:

  • Japan Society for the Promotion of Science JP22H04625
  • Japan Society for the Promotion of Science JP19H05814
  • Japan Society for the Promotion of Science JP22KJ2799
  • Ministry of Education, Culture, Sports, Science and Technology JPMXP1223NM5072
  • Precursory Research for Embryonic Science and Technology JPMJPR23H4

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1002/advs.202411777

Related item:

Other identifier(s):

Contact agent:

Updated at: 2025-02-10 16:30:21 +0900

Published on MDR: 2025-02-10 16:30:21 +0900