# Electrochemical ohmic memristors for continual learning

https://mdr.nims.go.jp/datasets/72bf1912-c37f-478e-a54c-9057e86182bd

## Files

- [s41467-025-57543-w.pdf](https://mdr.nims.go.jp/filesets/006e6bc7-577d-420a-9437-ed784da2c60e/download) ([Detail](https://mdr.nims.go.jp/filesets/006e6bc7-577d-420a-9437-ed784da2c60e.md))

## Id

72bf1912-c37f-478e-a54c-9057e86182bd

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-04-03T01:40:39.465001Z

## Updated at

2025-04-08T04:15:46.592682Z

## Published at

2025-04-07T13:19:42.468133Z

## Doi



## First published url

https://doi.org/10.1038/s41467-025-57543-w

## Date published

2025-03-08

## Recorded date published



## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Electrochemical ohmic memristors for continual learning
  title_type: original
  lang: en

## Description

- description: "Developing versatile and reliable memristive devices is crucial for
    advancing future memory and computing architectures. The years of intensive research
    have still not reached and demonstrated their full horizon of capabilities, and
    new concepts are essential for successfully using the complete spectra of memristive
    functionalities for industrial applications. Here, we introduce two-terminal ohmic
    memristor, characterized by a different type of switching defined as filament
    conductivity change mechanism (FCM). The operation is based entirely on localized
    electrochemical redox reactions, resulting in essential advantages such as ultra-stable
    binary and analog switching, broad voltage stability window, high temperature
    stability, high switching ratio and good endurance. The multifunctional properties
    enabled by the FCM can be effectively used to overcome the catastrophic forgetting
    problem in conventional deep neural networks. Our findings represent an important
    milestone in resistive switching fundamentals and provide an effective approach
    for designing memristive system, expanding the horizon of functionalities and
    neuroscience applications.\r\n"
  description_type: abstract
  lang: eng

## Creator

- name: CHEN Shaochuan
  role: author
  orcid: https://orcid.org/0000-0002-4304-7410
  organization: National Institute for Materials Science
  department: International Center for Young Scientists
- name: Zhen Yang
  role: author
  organization: Peking University
- name: Heinrich Hartmann
  role: author
  organization: Forschungszentrum Jülich
- name: Astrid Besmehn
  role: author
  organization: Forschungszentrum Jülich
- name: Yuchao Yang
  role: author
  organization: Peking University
- name: Ilia Valov
  role: author
  organization: Forschungszentrum Jülich

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## Keyword

- subject: Memory devices
  schema: not_defined
- subject: Memristors
  schema: not_defined
- subject: Electrochemical devices
  schema: not_defined
- subject: Neuromorphic computing
  schema: not_defined

## Rights

- description: Open Access This article is licensed under a Creative Commons Attribution
    4.0 International License, which permits use, sharing, adaptation, distribution
    and reproduction in any medium or format, as long as you give appropriate credit
    to the original author(s) and the source, provide a link to the Creative Commons
    licence, and indicate if changes were made. The images or other third party material
    in this article are included in the article’s Creative Commons licence, unless
    indicated otherwise in a credit line to the material. If material is not included
    in the article’s Creative Commons licence and your intended use is not permitted
    by statutory regulation or exceeds the permitted use, you will need to obtain
    permission directly from the copyright holder. To view a copy of this licence,
    visit http://creativecommons.org/licenses/by/4.0/.
  identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: NATURE COMMUNICATIONS
  issn: '20411723'
  volume: '16'
  start_page: 1
  end_page: 13

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## Fileset

- id: 006e6bc7-577d-420a-9437-ed784da2c60e
  filename: s41467-025-57543-w.pdf
  content_type: application/pdf
  size: 6777671
  md5: ed3abfd00ead8b64b5f2f9b43c4d6553

## Thumbnail

fileset_id: 006e6bc7-577d-420a-9437-ed784da2c60e
filename: s41467-025-57543-w.pdf