IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-32182-7.html
   My bibliography  Save this article

Thermodynamics of organic electrochemical transistors

Author

Listed:
  • Matteo Cucchi

    (Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL)
    Technische Universität Dresden)

  • Anton Weissbach

    (Technische Universität Dresden)

  • Lukas M. Bongartz

    (Technische Universität Dresden)

  • Richard Kantelberg

    (Technische Universität Dresden)

  • Hsin Tseng

    (Technische Universität Dresden)

  • Hans Kleemann

    (Technische Universität Dresden)

  • Karl Leo

    (Technische Universität Dresden)

Abstract

Despite their increasing usefulness in a wide variety of applications, organic electrochemical transistors still lack a comprehensive and unifying physical framework able to describe the current-voltage characteristics and the polymer/electrolyte interactions simultaneously. Building upon thermodynamic axioms, we present a quantitative analysis of the operation of organic electrochemical transistors. We reveal that the entropy of mixing is the main driving force behind the redox mechanism that rules the transfer properties of such devices in electrolytic environments. In the light of these findings, we show that traditional models used for organic electrochemical transistors, based on the theory of field-effect transistors, fall short as they treat the active material as a simple capacitor while ignoring the material properties and energetic interactions. Finally, by analyzing a large spectrum of solvents and device regimes, we quantify the entropic and enthalpic contributions and put forward an approach for targeted material design and device applications.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32182-7
    DOI: 10.1038/s41467-022-32182-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-32182-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-32182-7?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
    ---><---

    References listed on IDEAS

    as
    1. Dion Khodagholy & Thomas Doublet & Pascale Quilichini & Moshe Gurfinkel & Pierre Leleux & Antoine Ghestem & Esma Ismailova & Thierry Hervé & Sébastien Sanaur & Christophe Bernard & George G. Malliaras, 2013. "In vivo recordings of brain activity using organic transistors," Nature Communications, Nature, vol. 4(1), pages 1-7, June.
    2. 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.
    3. Sahika Inal & George G. Malliaras & Jonathan Rivnay, 2017. "Benchmarking organic mixed conductors for transistors," Nature Communications, Nature, vol. 8(1), pages 1-7, December.
    4. Paolo Romele & Matteo Ghittorelli & Zsolt Miklós Kovács-Vajna & Fabrizio Torricelli, 2019. "Ion buffering and interface charge enable high performance electronics with organic electrochemical transistors," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    5. Xudong Ji & Bryan D. Paulsen & Gary K. K. Chik & Ruiheng Wu & Yuyang Yin & Paddy K. L. Chan & Jonathan Rivnay, 2021. "Mimicking associative learning using an ion-trapping non-volatile synaptic organic electrochemical transistor," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    6. Vikash Kaphle & Pushpa Raj Paudel & Drona Dahal & Raj Kishen Radha Krishnan & Björn Lüssem, 2020. "Finding the equilibrium of organic electrochemical transistors," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Xudong Ji & Xuanyi Lin & Jonathan Rivnay, 2023. "Organic electrochemical transistors as on-site signal amplifiers for electrochemical aptamer-based sensing," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    3. Sophie Griggs & Adam Marks & Dilara Meli & Gonzague Rebetez & Olivier Bardagot & Bryan D. Paulsen & Hu Chen & Karrie Weaver & Mohamad I. Nugraha & Emily A. Schafer & Joshua Tropp & Catherine M. Aitchi, 2022. "The effect of residual palladium on the performance of organic electrochemical transistors," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    4. Eyal Stein & Oded Nahor & Mikhail Stolov & Viatcheslav Freger & Iuliana Maria Petruta & Iain McCulloch & Gitti L. Frey, 2022. "Ambipolar blend-based organic electrochemical transistors and inverters," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    5. Filippo Bonafè & Francesco Decataldo & Isabella Zironi & Daniel Remondini & Tobias Cramer & Beatrice Fraboni, 2022. "AC amplification gain in organic electrochemical transistors for impedance-based single cell sensors," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    6. 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.
    7. Peiyun Li & Junwei Shi & Yuqiu Lei & Zhen Huang & Ting Lei, 2022. "Switching p-type to high-performance n-type organic electrochemical transistors via doped state engineering," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    8. Chengpeng Jiang & Jiaqi Liu & Yao Ni & Shangda Qu & Lu Liu & Yue Li & Lu Yang & Wentao Xu, 2023. "Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    9. Ji Hwan Kim & Roman Halaksa & Il-Young Jo & Hyungju Ahn & Peter A. Gilhooly-Finn & Inho Lee & Sungjun Park & Christian B. Nielsen & Myung-Han Yoon, 2023. "Peculiar transient behaviors of organic electrochemical transistors governed by ion injection directionality," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    10. Pei-Yu Huang & Bi-Yi Jiang & Hong-Ji Chen & Jia-Yi Xu & Kang Wang & Cheng-Yi Zhu & Xin-Yan Hu & Dong Li & Liang Zhen & Fei-Chi Zhou & Jing-Kai Qin & Cheng-Yan Xu, 2023. "Neuro-inspired optical sensor array for high-accuracy static image recognition and dynamic trace extraction," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    11. Bo Fang & Jianmin Yan & Dan Chang & Jinli Piao & Kit Ming Ma & Qiao Gu & Ping Gao & Yang Chai & Xiaoming Tao, 2022. "Scalable production of ultrafine polyaniline fibres for tactile organic electrochemical transistors," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    12. Xiaosong Wu & Shaocong Wang & Wei Huang & Yu Dong & Zhongrui Wang & Weiguo Huang, 2023. "Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    13. Pengzhan Li & Mingzhen Zhang & Qingli Zhou & Qinghua Zhang & Donggang Xie & Ge Li & Zhuohui Liu & Zheng Wang & Erjia Guo & Meng He & Can Wang & Lin Gu & Guozhen Yang & Kuijuan Jin & Chen Ge, 2024. "Reconfigurable optoelectronic transistors for multimodal recognition," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    14. Yang Gao & Yuchen Zhou & Xudong Ji & Austin J. Graham & Christopher M. Dundas & Ismar E. Miniel Mahfoud & Bailey M. Tibbett & Benjamin Tan & Gina Partipilo & Ananth Dodabalapur & Jonathan Rivnay & Ben, 2024. "A hybrid transistor with transcriptionally controlled computation and plasticity," Nature Communications, Nature, vol. 15(1), pages 1-13, 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:13:y:2022:i:1:d:10.1038_s41467-022-32182-7. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.