# Sub-Millisecond and Energy-Efficient Electrochemical Synaptic Transistors with a Partially Reduced Graphene Oxide Channel

https://mdr.nims.go.jp/datasets/ce48b7f1-2431-4235-864f-89928e55d764

## File

- [2025_ACSAMI17_25674.pdf](https://mdr.nims.go.jp/filesets/d8dfdacf-8c86-4f0c-bf8a-b43f07f85c63/download) ([Detail](https://mdr.nims.go.jp/filesets/d8dfdacf-8c86-4f0c-bf8a-b43f07f85c63.md))

## Id

ce48b7f1-2431-4235-864f-89928e55d764

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-05-16T15:52:19.347937Z

## Updated at

2025-05-19T03:30:14.149204Z

## Published at

2025-05-19T03:19:37.405763Z

## Doi



## First published url

https://doi.org/10.1021/acsami.5c01202

## Date published

2025-04-30

## Recorded date published

2025-4-30

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Sub-Millisecond and Energy-Efficient Electrochemical Synaptic Transistors
    with a Partially Reduced Graphene Oxide Channel
  title_type: original
  lang: en

## Description

- description: We propose a synaptic transistor composed of a partially-reduced graphene
    oxide (prGO) channel and a Nafion electrolyte, operating based on electrochemical
    reactions of the prGO channel, which are assisted by protons through the Nafion
    electrolyte. After electrical reduction of a pristine GO channel to the prGO channel
    by sweeping the drain voltage, the transistor exhibits over 200 distinct conductance
    states under applications of short gate voltage pulses down to 500 µs width, giving
    rise to a low energy consumption of 10-50 pJ per gate pulse. Using highly linear
    and symmetric long-term potentiation and depression characteristics, an image
    recognition accuracy, using an artificial neural network based on a two-layer
    perceptron model, is calculated to be 90%. If gate current pulses are used, the
    image recognition accuracy further increases to 94%, because of the improved linearity
    and symmetry of the conductance change. The transistor also exhibits short-term
    plasticity such as paired-pulse facilitation and spike-timing-dependent plasticity
    with time ranges of less than a few tens of ms. These superior synaptic properties
    of the Nafion/prGO transistors will offer a remarkable paradigm for the development
    of neuromorphic computation architectures.
  description_type: abstract
  lang: und

## Creator

- name: Samapika Mallik
  role: author
  orcid: https://orcid.org/0000-0001-9281-9416
- name: Kazuya Terabe
  role: author
  orcid: https://orcid.org/0000-0003-3988-3456
- name: Tohru Tsuruoka
  role: author
  orcid: https://orcid.org/0000-0002-4322-4309

## Contact agent



## Publisher

organization: American Chemical Society (ACS)

## Managing organization



## Keyword

- subject: synaptic transistor
  schema: not_defined
- subject: graphene oxide
  schema: not_defined
- subject: Nafion
  schema: not_defined
- subject: proton-gating
  schema: not_defined
- subject: artificial neural network
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin



## Embargo



## Journal

- title: ACS Applied Materials & Interfaces
  issn: '19448244'
  volume: '17'
  issue: '17'
  start_page: 25674
  end_page: 25683

## Conference



## Related item



## Funding

- identifier: JPMXP1223NM5065
  funder_name: Ministry of Education, Culture, Sports, Science and Technology
- identifier: 21H03412
  funder_name: Japan Society for the Promotion of Science
- identifier: 24K02917
  funder_name: Japan Society for the Promotion of Science

## Instrument



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## Measurement method



## Specimen



## Chemical composition



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## Fileset

- id: d8dfdacf-8c86-4f0c-bf8a-b43f07f85c63
  filename: 2025_ACSAMI17_25674.pdf
  content_type: application/pdf
  size: 5250515
  md5: 81f329c93828eaca85b467bf4276ed75

## Thumbnail

fileset_id: d8dfdacf-8c86-4f0c-bf8a-b43f07f85c63
filename: 2025_ACSAMI17_25674.pdf