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In-fibre logic and memory via tuneable passivation–corrosion
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  • Published: 31 March 2026

In-fibre logic and memory via tuneable passivation–corrosion

  • Yuanlong Li  ORCID: orcid.org/0009-0006-8279-45381 na1,
  • Weifeng Yang  ORCID: orcid.org/0009-0002-4370-85891 na1,
  • Alexander V. Shokurov  ORCID: orcid.org/0000-0003-4562-86031,
  • Manuel Reis Carneiro  ORCID: orcid.org/0000-0002-3669-34571 &
  • …
  • Carlo Menon  ORCID: orcid.org/0000-0002-2309-99771 

Nature Communications , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Electrical and electronic engineering
  • Electronic devices

Abstract

Textile electronics with digital capabilities could sense, process, and store data, while providing immersive interaction with user and their immediate surroundings. However, existing textile electronic systems are typically built on von Neumann architecture and rigid chips, limiting their seamless integration with clothing. Here, we propose a single-fibre logic/memory electronic device based on interface passivation-corrosion whose functions do not depend on traditional carrier heterojunction interfaces. The same fibre can be switched to operate as either a diode or a memristor. The diode mode remains stable under higher voltages and longer cycling periods than the state-of-the-art anion–cation heterojunction fibres. The fibre electronics are highly stretchable (up to 50%), and are compatible with industry-standard weaving techniques. We also demonstrate the application of these fibres in “AND” and “OR” logic gates, neuromorphic synapses, and textile memristor arrays. Regulated passivation-corrosion-enabled logic and memory in fibres offers a promising avenue for the next-generation textile computing.

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Data availability

Relevant data supporting this study are available within the article and the Supplementary Information file. All the numerical data generated in this study are provided in the Supplementary Information/Source Data file in the form of an Excel file with pages corresponding to each presented graph. All data, including images, are available from the corresponding author upon request. Source data are provided with this paper.

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Acknowledgements

This research was funded in whole or in part by the Swiss National Science Foundation (SNSF) grant no. 219231. We acknowledge the discussion with the BHMT group members. The authors gratefully acknowledge the ETH Zurich ScopeM centre for their support and assistance in this work. The authors gratefully acknowledge Dr. Roman Heuberger of the RMS Foundation company for his support and assistance in this work.

Author information

Author notes
  1. These authors contributed equally: Yuanlong Li, Weifeng Yang.

Authors and Affiliations

  1. Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Lengghalde 5, Zurich, Switzerland

    Yuanlong Li, Weifeng Yang, Alexander V. Shokurov, Manuel Reis Carneiro & Carlo Menon

Authors
  1. Yuanlong Li
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  2. Weifeng Yang
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  3. Alexander V. Shokurov
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  5. Carlo Menon
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Contributions

W.Y., Y.L., and C.M. conceived the project and designed the experiments. W.Y. and Y.L. fabricated the samples and devices, ran the experiments, analyzed the data, and wrote the initial draft of the manuscript. M.R.C. designed and implemented a standalone circuit and PCB enabling programmable read/write operations on textile memristor arrays. W.Y., Y.L., and A.S. performed the initial conceptualisation and analysis on the electrochemical part. W.Y., A.S., and C.M. reviewed the manuscript. W.Y. and C.M. supervised the project.

Corresponding authors

Correspondence to Weifeng Yang or Carlo Menon.

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The authors declare no conflict of interest.

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Peer review information

Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. A peer review file is available.

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Supplementary information

Supplementary Information (download PDF )

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Source data

Source Data (download XLSX )

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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/.

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Li, Y., Yang, W., Shokurov, A.V. et al. In-fibre logic and memory via tuneable passivation–corrosion. Nat Commun (2026). https://doi.org/10.1038/s41467-026-71249-7

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  • Received: 01 September 2025

  • Accepted: 18 March 2026

  • Published: 31 March 2026

  • DOI: https://doi.org/10.1038/s41467-026-71249-7

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