Charge-Based Compact Modeling of OECTs for Neuromorphic Applications

Organic electrochemical transistors (OECTs) are a class of promising neuromorphic devices due to their exceptional conductivity, ease of fabrication, and cost-effectiveness. These devices exhibit ionic behavior similar to biological synapses, enabling efficient switching. Developing a compact model for OECTs is challenging due to the complex interplay of electrochemical reactions, ion transport, interactions with electrons or holes, and charge carrier dynamics that must be accurately captured and integrated into a simplified framework. In this work, we develop a combined physics-based compact model that integrates the Nernst equation from electrochemistry with thermally activated charges from semiconductor physics. This model enables easy incorporation into circuit simulations and provides a simple core framework for further extensions to account for additional effects. We fabricated, characterized, and analyzed OECTs based on PEDOT:PSS, and the proposed compact model shows good agreement with our experimental data.

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Publication Details

Journal
IEEE Journal of the Electron Devices Society
Published
2024-12-25
DOI
https://doi.org/10.1109/jeds.2024.3522577
Citations
9
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.88

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article

Charge-Based Compact Modeling of OECTs for Neuromorphic Applications

Malte Koch, Karl Leo, Alexander Kloes, Lukas M. Bongartz et al.
9 citations
IEEE Journal of the Electron Devices Society
Advanced Memory and Neural Computing
1.88
article

Charge-Based Compact Modeling of OECTs for Neuromorphic Applications

Malte Koch, Karl Leo, Alexander Kloes, Lukas M. Bongartz, Hans Kleemann, Ghader Darbandy
article en
9 citations

Abstract

Organic electrochemical transistors (OECTs) are a class of promising neuromorphic devices due to their exceptional conductivity, ease of fabrication, and cost-effectiveness. These devices exhibit ionic behavior similar to biological synapses, enabling efficient switching. Developing a compact model for OECTs is challenging due to the complex interplay of electrochemical reactions, ion transport, interactions with electrons or holes, and charge carrier dynamics that must be accurately captured and integrated into a simplified framework. In this work, we develop a combined physics-based compact model that integrates the Nernst equation from electrochemistry with thermally activated charges from semiconductor physics. This model enables easy incorporation into circuit simulations and provides a simple core framework for further extensions to account for additional effects. We fabricated, characterized, and analyzed OECTs based on PEDOT:PSS, and the proposed compact model shows good agreement with our experimental data.

IEEE Journal of the Electron Devices SocietyVol. 13
Technische Hochschule Mittelhessen (DE), Technische Universität Dresden (DE)
European Commission, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 14%
Advanced Memory and Neural Computing
1.88
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