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Rethinking organic electrochemical transistor modeling: the critical role of volumetric capacitance in predictive 2D Nernst-Planck-Poisson simulations
Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, Sweden, Wallenberg Initiative Materials Science for Sustainability, Department of Science and Technology, Linköping University, Norrköping, Sweden.
Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, Sweden, Model One AB, Norrköping, Sweden.
RISE Research Institutes of Sweden, Digital Systems, Smart Hardware.ORCID iD: 0000-0002-4575-0193
Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping, Sweden, Model One AB, Norrköping, Sweden, Wallenberg Wood Science Center, Linköping University, Norrköping, Sweden.
2025 (English)In: npj Flexible Electronics, ISSN 2397-4621, Vol. 9, no 1, article id 97Article in journal (Refereed) Published
Abstract [en]

Organic electrochemical transistors (OECTs) combine electron/ionic transport with organic semiconductor flexibility to connect biology and electronics. As they approach industrial use, optimizing performance requires accurate modeling of their structure. This study presents a two-dimensional (2D) OECT model based on Nernst–Planck–Poisson equations that explicitly includes volumetric capacitance (C<inf>V</inf>). Unlike previous models that ignore C<inf>V</inf>, our model highlights its essential role in OECT operation, allowing us to accurately match the measured output currents of PEDOT:PSS printed OECTs. We studied how parameters like diffusion coefficients of holes and ions, fixed anion concentration, and intrinsic capacitance affect transistor performance. We analyze existing OECT models, noting that different frameworks, despite varying assumptions, can reproduce data. This question relies solely on experimental agreement for validation. We argue that models should also be evaluated on their physical principles. To assist readers, we provide COMSOL.mph files for 1D and 2D OECT models for device design and optimization.

Place, publisher, year, edition, pages
Nature Research , 2025. Vol. 9, no 1, article id 97
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Condensed Matter Physics
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URN: urn:nbn:se:ri:diva-79316DOI: 10.1038/s41528-025-00482-9Scopus ID: 2-s2.0-105016794332OAI: oai:DiVA.org:ri-79316DiVA, id: diva2:2017209
Note

Article; Granskad

Available from: 2025-11-27 Created: 2025-11-27 Last updated: 2025-11-27Bibliographically approved

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Andersson Ersman, Peter

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