# Few- and single-molecule reservoir computing experimentally demonstrated with surface-enhanced Raman scattering and ion gating

https://mdr.nims.go.jp/datasets/7c345738-bdb5-459d-900e-e1d3b9453401

## Files

- [sciadv.adk6438.pdf](https://mdr.nims.go.jp/filesets/582f86b0-3e4a-4d5e-9a53-ca9727d332f2/download) ([Detail](https://mdr.nims.go.jp/filesets/582f86b0-3e4a-4d5e-9a53-ca9727d332f2.md))

## Id

7c345738-bdb5-459d-900e-e1d3b9453401

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-08-02T10:10:35.320112Z

## Updated at

2024-08-05T03:30:19.764581Z

## Published at

2024-08-05T03:30:19.853139Z

## Doi



## First published url

https://doi.org/10.1126/sciadv.adk6438

## Date published

2024-02-28

## Recorded date published

2024-3

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Few- and single-molecule reservoir computing experimentally demonstrated
    with surface-enhanced Raman scattering and ion gating
  title_type: original
  lang: en

## Description

- description: Molecule-based reservoir computing (RC) is promising for achieving
    low power consumption neuromorphic computing, although information-processing
    capability of  small numbers of molecules is not clear. Here, we report a few-
    and single-molecule RC that employs the molecular vibration dynamics in the para-mercaptobenzoic
    acid (pMBA) detected by surface enhanced Raman scattering (SERS) with tungsten
    oxide nanorod/silver nanoparticles. The Raman signals of the pMBA molecules, adsorbed
    at the SERS active site of the nanorod, were reversibly perturbated by the application
    of voltage-induced local pH changes near the molecules, and then used to perform
    time-series analysis tasks. Despite the small number of molecules employed, our
    system achieved good performance, including >95% accuracy in various nonlinear
    waveform transformations, 94.3% accuracy in solving a second-order nonlinear dynamic
    system, and a prediction error of 25.0 mg/dl in a 15-minute ahead blood glucose
    level prediction. Our work provides a concept of few-molecular computing with
    practical computation capabilities.
  description_type: abstract
  lang: und

## Creator

- name: Daiki Nishioka
  role: author
  orcid: https://orcid.org/0000-0002-3369-7700
  organization: National Institute for Materials Science
- name: Yoshitaka Shingaya
  role: author
  orcid: https://orcid.org/0000-0002-5926-3302
  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: 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: American Association for the Advancement of Science (AAAS)

## Managing organization



## Keyword

- subject: Reservoir computing
  schema: not_defined
- subject: Neuromorphic computing
  schema: not_defined
- subject: Surface enhanced Raman scattering
  schema: not_defined
- subject: Single-molecule reservoir computing
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Science Advances
  issn: '23752548'
  volume: '10'
  issue: '9'
  article_number: eadk6438

## Conference



## Related item



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## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



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## Process for specimen treatment



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## Fileset

- id: 582f86b0-3e4a-4d5e-9a53-ca9727d332f2
  filename: sciadv.adk6438.pdf
  content_type: application/pdf
  size: 5033469
  md5: 76df3798eb91a39cf882229ad37a533a

## Thumbnail

fileset_id: 582f86b0-3e4a-4d5e-9a53-ca9727d332f2
filename: sciadv.adk6438.pdf