# Reconfigurable artificial synapses with an organic antiambipolar transistor for brain-inspired computing

https://mdr.nims.go.jp/datasets/5c636212-5cdf-4075-9bd7-dc3eca9f03da

## File

- [d5tc01712b (1).pdf](https://mdr.nims.go.jp/filesets/a5f1954f-3fe1-4b60-a739-bc87fc4b2b61/download) ([Detail](https://mdr.nims.go.jp/filesets/a5f1954f-3fe1-4b60-a739-bc87fc4b2b61.md))

## Id

5c636212-5cdf-4075-9bd7-dc3eca9f03da

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-10-20T09:53:27.829136Z

## Updated at

2025-10-21T06:50:09.485400Z

## Published at

2025-10-21T06:43:49.314954Z

## Doi



## First published url

https://doi.org/10.1039/d5tc01712b

## Date published

2025-06-11

## Recorded date published

2025-7-17

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Reconfigurable artificial synapses with an organic antiambipolar transistor
    for brain-inspired computing
  title_type: original
  lang: en

## Description

- description: Neuromorphic computing, a nonvon Neumann architecture, holds promise
    for low-power, high-efficiency data processing. Herein, we demonstrated reconfigurable
    artificial synapses using a floating-gate-type organic antiambipolar transistor
    (FG-OAAT) to mimic biological synapses. The FG-OAAT exhibited a Λ-shaped transfer
    curve with negative differential transconductance. A two-dimensional continuous
    Au film was used as the floating gate to induce a large peak voltage shift in
    the Λ-shaped transfer curve by controlling hole- and electron-trapping processes
    in the floating gate. This feature enabled reconfigurable synaptic operations.
    Long-term potentiation/depression, excitatory/inhibitory, and paired-pulse facilitation/depression
    functions were electrically reconfigured by tuning the charge conditions in the
    floating gate. These versatile synaptic operations were induced by a consistent
    presynaptic signal, with fixed polarity, applied voltage, and pulse width. These
    behaviors closely resembled those of biological synapses, highlighting the potential
    for a brain-like computing architecture that surpasses current von Neumann systems.
  description_type: abstract
  lang: und

## Creator

- name: Ryoma Hayakawa
  role: author
  orcid: https://orcid.org/0000-0002-1442-8230
  organization: National Institute for Materials Science
- name: Yuho Yamamoto
  role: author
- name: Kosuke Yoshikawa
  role: author
  organization: National Institute for Materials Science
- name: Yoichi Yamada
  role: author
- name: Yutaka Wakayama
  role: author
  orcid: https://orcid.org/0000-0002-0801-8884
  organization: National Institute for Materials Science

## Contact agent



## Publisher

organization: Royal Society of Chemistry (RSC)

## Managing organization



## Keyword

- subject: Reconfigurable artificial synapses
  schema: not_defined
- subject: Organic antiambipolar transistor
  schema: not_defined
- subject: Floating gate
  schema: not_defined
- subject: Negative differential transconductance
  schema: not_defined

## Rights

- identifier: cc-by-nc-3.0

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Journal of Materials Chemistry C
  issn: '20507526'
  volume: '13'
  issue: '28'
  start_page: 14234
  end_page: 14241

## Conference



## Related item



## Funding

- funder_name: National Institute for Materials Science
- identifier: JPMXP1223NM5170
  funder_name: Ministry of Education, Culture, Sports, Science and Technology
- identifier: JPMXP1224NM5158
  funder_name: Ministry of Education, Culture, Sports, Science and Technology
- identifier: 19H00866
  funder_name: Japan Society for the Promotion of Science
- identifier: 23H00269
  funder_name: Japan Society for the Promotion of Science
- identifier: 24K01564
  funder_name: Japan Society for the Promotion of Science
- identifier: 22K18268
  funder_name: Japan Society for the Promotion of Science

## Instrument



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## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



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## Computational method



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## Fileset

- id: a5f1954f-3fe1-4b60-a739-bc87fc4b2b61
  filename: d5tc01712b (1).pdf
  content_type: application/pdf
  size: 3141326
  md5: 3fce5900add9ca1b44bc0dba0cc39c1f

## Thumbnail

fileset_id: a5f1954f-3fe1-4b60-a739-bc87fc4b2b61
filename: d5tc01712b (1).pdf