Numerical Modeling of Organic Electrochemical Transistors
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Organic electrochemical transistors (OECTs) are of significant research interest as building blocks for the realization of synaptic behavior, bioelectronics, and neuromorphic applications. This work presents a numerical method considering the Poisson-Boltzmann statistics to reproduce associated charge densities and distributions depending on pH values as well as the electrolyte behavior, thus enabling numerical modeling and TCAD simulation of OECTs. We have fabricated and characterized OECTs based on PEDOT:PSS as a channel material. The proposed model does not take non-faradaic processes into account, but yet it reveals important properties of the device working mechanism and shows a good agreement with the measured data of OECTs.
Details
Originalsprache | Englisch |
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Titel | 2022 IEEE Latin American Electron Devices Conference (LAEDC) |
Erscheinungsort | Cancun |
Herausgeber (Verlag) | IEEE Xplore |
ISBN (elektronisch) | 978-1-6654-9767-1 |
ISBN (Print) | 978-1-6654-9768-8 |
Publikationsstatus | Veröffentlicht - 2022 |
Peer-Review-Status | Ja |
Publikationsreihe
Reihe | Latin American Electron Devices Conference (LAEDC) |
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ISSN | 2835-3463 |
Konferenz
Titel | 2022 IEEE Latin America Electron Devices Conference, LAEDC 2022 |
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Dauer | 4 - 6 Juli 2022 |
Stadt | Cancun |
Land | Mexiko |
Externe IDs
ORCID | /0000-0002-9773-6676/work/142247065 |
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Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Electric Double Layer, Electrolyte Material, Numerical Modeling, OECTs