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Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Nov 17, 2024; e2411777.

Iono-Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion-Gating.

Wataru Namiki, Daiki Nishioka, Yuki Nomura, Takashi Tsuchiya, Kazuo Yamamoto, Kazuya Terabe
Author Information
  1. Wataru Namiki: Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki, 305-0044, Japan. ORCID
  2. Daiki Nishioka: Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki, 305-0044, Japan. ORCID
  3. Yuki Nomura: Nanostructures Research Laboratory, Japan Fine Ceramics Center, 2-4-1 Mutsuno, Atsuta, Nagoya, Aichi, 456-8587, Japan. ORCID
  4. Takashi Tsuchiya: Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki, 305-0044, Japan. ORCID
  5. Kazuo Yamamoto: Nanostructures Research Laboratory, Japan Fine Ceramics Center, 2-4-1 Mutsuno, Atsuta, Nagoya, Aichi, 456-8587, Japan. ORCID
  6. Kazuya Terabe: Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki, 305-0044, Japan. ORCID
PMID: 39552197 DOI: 10.1002/advs.202411777

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, 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 is reported. This study is the first to report the manipulation of the propagating spin wave property by ion-gating and the application of the 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 shows 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.

Keywords

nonlinear interference proton redox reservoir computing solid‐state electrolyte spin wave

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Grants

  1. JP22H04625/Japan Society for the Promotion of Science
  2. JP19H05814/Japan Society for the Promotion of Science
  3. JP22KJ2799/Japan Society for the Promotion of Science
  4. JPJ004596/Innovative Science and Technology Initiative for Security
  5. JPMXP1223NM5072/Ministry of Education, Culture, Sports, Science and Technology
  6. JPMJPR23H4/Precursory Research for Embryonic Science and Technology
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