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説明:

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.

権利情報:

• Creative Commons BY Attribution 4.0 International
  

キーワード: reservoir computing, spin wave, ion-gating

刊行年月日: 2024-11-17

出版者: Wiley

掲載誌:

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

研究助成金:

• 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

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1002/advs.202411777

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更新時刻: 2025-02-10 16:30:21 +0900

MDRでの公開時刻: 2025-02-10 16:30:21 +0900