# Inverted input method for computing performance enhancement of the ion-gating reservoir

https://mdr.nims.go.jp/datasets/9a40799c-ef9c-4c90-ab85-1b2d5f4a7ec2

## File

- [Yamaguchi_2024_Appl._Phys._Express_17_024501-2.pdf](https://mdr.nims.go.jp/filesets/a0a60111-22d9-4bdf-b60a-88937d35a3c4/download) ([Detail](https://mdr.nims.go.jp/filesets/a0a60111-22d9-4bdf-b60a-88937d35a3c4.md))

## Id

9a40799c-ef9c-4c90-ab85-1b2d5f4a7ec2

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-08-02T09:52:07.014156Z

## Updated at

2024-08-05T03:30:15.569441Z

## Published at

2024-08-05T03:30:15.983196Z

## Doi



## First published url

https://doi.org/10.35848/1882-0786/ad2906

## Date published

2024-02-01

## Recorded date published

2024-2-1

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Inverted input method for computing performance enhancement of the ion-gating
    reservoir
  title_type: original
  lang: en

## Description

- description: Physical reservoir computing (PRC) is useful for edge computing, although
    the challenge is to improve computational performance. In this study, we developed
    an inverted input method, that the inverted input is additionally applied to a
    physical reservoir together with the original input, to improve the performance
    of the ion-gating reservoir. The error in a second-order nonlinear equation task
    was 7.3×10-5, the lowest error in reported PRC to date. Improvement of high dimensionality
    by the method was confirmed to be the origin of the performance enhancement. This
    inverted input method is versatile enough to enhance the performance of any other
    PRC.
  description_type: abstract
  lang: und

## Creator

- name: Yu Yamaguchi
  role: author
  organization: National Institute for Materials Science
- name: Daiki Nishioka
  role: author
  orcid: https://orcid.org/0000-0002-3369-7700
  organization: National Institute for Materials Science
- name: Wataru Namiki
  role: author
  orcid: https://orcid.org/0000-0003-4053-7366
  organization: National Institute for Materials Science
- name: Takashi Tsuchiya
  role: author
  orcid: https://orcid.org/0000-0002-6950-6160
  organization: National Institute for Materials Science
- name: Masataka Imura
  role: author
  orcid: https://orcid.org/0000-0002-4236-9549
  organization: National Institute for Materials Science
- name: Yasuo Koide
  role: author
  orcid: https://orcid.org/0000-0001-8321-9822
  organization: National Institute for Materials Science
- name: Tohru Higuchi
  role: author
- name: Kazuya Terabe
  role: author
  orcid: https://orcid.org/0000-0003-3988-3456
  organization: National Institute for Materials Science

## Contact agent



## Publisher

organization: IOP Publishing

## Managing organization



## Keyword

- subject: Ion-gating reservoir
  schema: not_defined
- subject: Solid state ionics
  schema: not_defined
- subject: Physical reservoir computing
  schema: not_defined
- subject: Electric double layer transistor
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Applied Physics Express
  issn: '18820786'
  volume: '17'
  issue: '2'
  article_number: '024501'

## Conference



## Related item



## Funding

- identifier: JPMXP1223NM5072
  funder_name: Ministry of Education, Culture, Sports, Science and Technology
- funder_name: Iketani Science and Technology Foundation
- funder_name: JFE 21st Century Foundation
- identifier: JP22H04625
  funder_name: Japan Society for the Promotion of Science
- 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: a0a60111-22d9-4bdf-b60a-88937d35a3c4
  filename: Yamaguchi_2024_Appl._Phys._Express_17_024501-2.pdf
  content_type: application/pdf
  size: 1318552
  md5: d343bc2c168d5f873266a16d6299039f

## Thumbnail

fileset_id: a0a60111-22d9-4bdf-b60a-88937d35a3c4
filename: Yamaguchi_2024_Appl._Phys._Express_17_024501-2.pdf