IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v10y2019i1d10.1038_s41467-019-13079-4.html
   My bibliography  Save this article

All-printed large-scale integrated circuits based on organic electrochemical transistors

Author

Listed:
  • Peter Andersson Ersman

    (RISE Acreo, Department of printed electronics)

  • Roman Lassnig

    (RISE Acreo, Department of printed electronics)

  • Jan Strandberg

    (RISE Acreo, Department of printed electronics)

  • Deyu Tu

    (Laboratory of organic electronics, Department of science and technology, Linköping University)

  • Vahid Keshmiri

    (Information Coding Group, Department of electrical engineering, Linköping University)

  • Robert Forchheimer

    (Information Coding Group, Department of electrical engineering, Linköping University)

  • Simone Fabiano

    (Laboratory of organic electronics, Department of science and technology, Linköping University
    Wallenberg Wood Science Center, Linköping University)

  • Göran Gustafsson

    (RISE Acreo, Department of printed electronics)

  • Magnus Berggren

    (Laboratory of organic electronics, Department of science and technology, Linköping University
    Wallenberg Wood Science Center, Linköping University)

Abstract

The communication outposts of the emerging Internet of Things are embodied by ordinary items, which desirably include all-printed flexible sensors, actuators, displays and akin organic electronic interface devices in combination with silicon-based digital signal processing and communication technologies. However, hybrid integration of smart electronic labels is partly hampered due to a lack of technology that (de)multiplex signals between silicon chips and printed electronic devices. Here, we report all-printed 4-to-7 decoders and seven-bit shift registers, including over 100 organic electrochemical transistors each, thus minimizing the number of terminals required to drive monolithically integrated all-printed electrochromic displays. These relatively advanced circuits are enabled by a reduction of the transistor footprint, an effort which includes several further developments of materials and screen printing processes. Our findings demonstrate that digital circuits based on organic electrochemical transistors (OECTs) provide a unique bridge between all-printed organic electronics (OEs) and low-cost silicon chip technology for Internet of Things applications.

Suggested Citation

  • Peter Andersson Ersman & Roman Lassnig & Jan Strandberg & Deyu Tu & Vahid Keshmiri & Robert Forchheimer & Simone Fabiano & Göran Gustafsson & Magnus Berggren, 2019. "All-printed large-scale integrated circuits based on organic electrochemical transistors," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13079-4
    DOI: 10.1038/s41467-019-13079-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-019-13079-4
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-019-13079-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matteo Cucchi & Anton Weissbach & Lukas M. Bongartz & Richard Kantelberg & Hsin Tseng & Hans Kleemann & Karl Leo, 2022. "Thermodynamics of organic electrochemical transistors," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    2. Giovanni Maria Matrone & Eveline R. W. Doremaele & Abhijith Surendran & Zachary Laswick & Sophie Griggs & Gang Ye & Iain McCulloch & Francesca Santoro & Jonathan Rivnay & Yoeri Burgt, 2024. "A modular organic neuromorphic spiking circuit for retina-inspired sensory coding and neurotransmitter-mediated neural pathways," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    3. Padinhare Cholakkal Harikesh & Chi-Yuan Yang & Deyu Tu & Jennifer Y. Gerasimov & Abdul Manan Dar & Adam Armada-Moreira & Matteo Massetti & Renee Kroon & David Bliman & Roger Olsson & Eleni Stavrinidou, 2022. "Organic electrochemical neurons and synapses with ion mediated spiking," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    4. Youngseok Kim & Joost Kimpel & Alexander Giovannitti & Christian Müller, 2024. "Small signal analysis for the characterization of organic electrochemical transistors," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13079-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.