# Multifunctional in-memory logics based on a dual-gate antiambipolar transistor toward non-von Neumann computing architecture

https://mdr.nims.go.jp/datasets/a8d5fe00-0598-40e9-b93e-2289f7d3c18d

## File

- [Supporting infomation_240614_ACS_Appl_Mater_Interface.docx](https://mdr.nims.go.jp/filesets/b2812016-bfba-4501-b469-57867a5a0616/download) ([Detail](https://mdr.nims.go.jp/filesets/b2812016-bfba-4501-b469-57867a5a0616.md))
- [Manuscript_240623.docx](https://mdr.nims.go.jp/filesets/509a22d6-f220-4101-9333-fbf3dc2b6b85/download) ([Detail](https://mdr.nims.go.jp/filesets/509a22d6-f220-4101-9333-fbf3dc2b6b85.md))

## Id

a8d5fe00-0598-40e9-b93e-2289f7d3c18d

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-07-03T02:21:35.606505Z

## Updated at

2025-06-23T23:30:41.419701Z

## Published at

2025-06-23T23:20:45.845141Z

## Doi

https://doi.org/10.48505/nims.4603

## First published url

http://doi.org/10.1021/acsami.4c06116

## Date published

2024-07-03

## Recorded date published

2024-7-3

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Multifunctional in-memory logics based on a dual-gate antiambipolar transistor
    toward non-von Neumann computing architecture
  title_type: original
  lang: en

## Description

- description: In-memory computing may make it possible to realize non-von Neumann
    computing because the logic circuits are unified in the memory units. We investigated
    two types of in-memory logic operation, namely two-input logic circuits and multifunctional
    artificial synapses. These were realized in a dual-gate antiambipolar transistor
    (AAT) with an ReS2/WSe2 heterojunction, in which polystyrene with a zinc phthalocyanine
    core (ZnPc-PS4) was incorporated as a memory layer. First, we achieved electrically
    reconfigurable two-input logic circuits. Versatile logic circuits such as AND,
    OR, NAND, NOR, and XOR circuits were demonstrated by taking advantage of the Λ-shaped
    transfer curve of the dual-gate AAT. Importantly, the nonvolatile memory function
    provided the electrical switching of the individual circuits between AND/OR, NAND/NOR,
    and XOR/NAND circuits with constant input signals. Second, the memory effect was
    applied to multifunctional artificial synapses. These findings provide hints that
    may lead to the realization of new in-memory computing architectures beyond the
    current von Neumann computers.
  description_type: abstract
  lang: eng

## Creator

- name: Yoshitaka Shingaya
  role: author
  orcid: https://orcid.org/0000-0002-5926-3302
  organization: National Institute for Materials Science
  department: Research Center for Materials Nanoarchitectonics (MANA)/Quantum Materials
    Field/Neuromorphic Devices Group
  ror: https://ror.org/026v1ze26
- name: Takuya Iwasaki
  role: author
  orcid: https://orcid.org/0000-0002-1103-2433
  organization: National Institute for Materials Science
  department: Research Center for Materials Nanoarchitectonics (MANA)/Quantum Materials
    Field/Qubit Materials Group
  ror: https://ror.org/026v1ze26
- name: Ryoma Hayakawa
  role: author
  orcid: https://orcid.org/0000-0002-1442-8230
  organization: National Institute for Materials Science
  department: Research Center for Materials Nanoarchitectonics (MANA)/Quantum Materials
    Field/Quantum Device Engineering Group
  ror: https://ror.org/026v1ze26
- name: Shu Nakaharai
  role: author
  organization: National Institute for Materials Science
  department: International Center for Materials Nanoarchitectonics/Nano-System Field/Quantum
    Device Engineering Group
  ror: https://ror.org/026v1ze26
- name: Kenji Watanabe
  role: author
  orcid: https://orcid.org/0000-0003-3701-8119
  organization: National Institute for Materials Science
  department: Research Center for Electronic and Optical Materials/Optical Materials
    Field/Semiconductor Defect Design Group
  ror: https://ror.org/026v1ze26
- name: Takashi Taniguchi
  role: author
  orcid: https://orcid.org/0000-0002-1467-3105
  organization: National Institute for Materials Science
  department: Research Center for Materials Nanoarchitectonics (MANA)
  ror: https://ror.org/026v1ze26
- name: Junko Aimi
  role: author
  orcid: https://orcid.org/0000-0003-1339-0581
  organization: National Institute for Materials Science
  department: Research Center for Macromolecules and Biomaterials/Macromolecules Field/Molecular
    Mechatronics Group
  ror: https://ror.org/026v1ze26
- name: Yutaka Wakayama
  role: author
  orcid: https://orcid.org/0000-0002-0801-8884
  organization: National Institute for Materials Science
  department: Research Center for Materials Nanoarchitectonics (MANA)/Quantum Materials
    Field/Quantum Device Engineering Group
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: American Chemical Society

## Managing organization



## Keyword

- subject: 2D materials
  schema: not_defined
- subject: antiambipolar transistor
  schema: not_defined
- subject: in-memory logic
  schema: not_defined
- subject: neuromorphic device
  schema: not_defined
- subject: nano-floating gate
  schema: not_defined
- subject: non-von Neumann computing
  schema: not_defined

## Rights

- description: This document is the Accepted Manuscript version of a Published Work
    that appeared in final form in ACS Applied Materials & Interfaces, copyright ©
    2024 American Chemical Society after peer review and technical editing by the
    publisher. To access the final edited and published work see https://doi.org/10.1021/acsami.4c06116
  identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo

start_date: 2024-06-24
end_date: 2025-06-24

## Journal

- title: ACS Applied Materials & Interfaces
  issn: '19448252'
  volume: '16'
  issue: '26'

## Conference



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## Fileset

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  filename: Supporting infomation_240614_ACS_Appl_Mater_Interface.docx
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  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  size: 5255328
  md5: a0627db14a59ce50aff37152dfc518ab

## Thumbnail

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filename: Manuscript_240623.docx