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

https://mdr.nims.go.jp/datasets/93427c52-dda4-4339-994e-9e7782acfa63

## File

- [Advanced Science - 2024 - Namiki - Iono Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by.pdf](https://mdr.nims.go.jp/filesets/d746b3f6-ea9f-4288-975c-6a9c18104e2c/download) ([Detail](https://mdr.nims.go.jp/filesets/d746b3f6-ea9f-4288-975c-6a9c18104e2c.md))

## Id

93427c52-dda4-4339-994e-9e7782acfa63

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-02-09T00:44:40.125851Z

## Updated at

2025-02-10T07:30:21.116609Z

## Published at

2025-02-10T07:30:21.324217Z

## Doi



## First published url

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

## Date published

2024-11-17

## Recorded date published

2025-1

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Iono–Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated
    by Ion‐Gating
  title_type: original
  lang: en

## Description

- description: 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.
  description_type: abstract
  lang: und

## Creator

- name: Wataru Namiki
  role: author
  orcid: https://orcid.org/0000-0003-4053-7366
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Daiki Nishioka
  role: author
  orcid: https://orcid.org/0000-0002-3369-7700
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Yuki Nomura
  role: author
  orcid: https://orcid.org/0000-0002-6091-5902
- name: Takashi Tsuchiya
  role: author
  orcid: https://orcid.org/0000-0002-6950-6160
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Kazuo Yamamoto
  role: author
  orcid: https://orcid.org/0000-0001-7651-943X
- name: Kazuya Terabe
  role: author
  orcid: https://orcid.org/0000-0003-3988-3456
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: Wiley

## Managing organization



## Keyword

- subject: reservoir computing
  schema: not_defined
- subject: spin wave
  schema: not_defined
- subject: ion-gating
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Advanced Science
  issn: '21983844'
  volume: '12'
  issue: '3'
  article_number: '2411777'

## Conference



## Related item



## Funding

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

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: d746b3f6-ea9f-4288-975c-6a9c18104e2c
  filename: Advanced Science - 2024 - Namiki - Iono Magnonic Reservoir Computing With
    Chaotic Spin Wave Interference Manipulated by.pdf
  content_type: application/pdf
  size: 7665708
  md5: 4962d9ec24d705ca7d3f680c1a51b90f

## Thumbnail

fileset_id: d746b3f6-ea9f-4288-975c-6a9c18104e2c
filename: Advanced Science - 2024 - Namiki - Iono Magnonic Reservoir Computing With
  Chaotic Spin Wave Interference Manipulated by.pdf