Numerical Modeling of Organic Electrochemical Transistors

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

  • Malte Koch - , University of Applied Sciences Mittelhessen (Author)
  • Hsin Tseng - , Institute of Applied Physics, Chair of Opto-Electronics, TUD Dresden University of Technology (Author)
  • Anton Weissbach - , University of Applied Sciences Mittelhessen (Author)
  • Benjamin Iniguez - , Universidad Rovira i Virgili (Author)
  • Karl Leo - , Chair of Opto-Electronics, TUD Dresden University of Technology (Author)
  • Alexander Kloes - , University of Applied Sciences Mittelhessen (Author)
  • Hans Kleemann - , Chair of Opto-Electronics, TUD Dresden University of Technology (Author)
  • Ghader Darbandy - , University of Applied Sciences Mittelhessen (Author)

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

Original languageEnglish
Title of host publication2022 IEEE Latin American Electron Devices Conference (LAEDC)
Place of PublicationCancun
PublisherIEEE Xplore
ISBN (electronic)978-1-6654-9767-1
ISBN (print)978-1-6654-9768-8
Publication statusPublished - 2022
Peer-reviewedYes

Publication series

SeriesLatin American Electron Devices Conference (LAEDC)
ISSN2835-3463

Conference

Title2022 IEEE Latin America Electron Devices Conference, LAEDC 2022
Duration4 - 6 July 2022
CityCancun
CountryMexico

External IDs

ORCID /0000-0002-9773-6676/work/142247065

Keywords

Keywords

  • Electric Double Layer, Electrolyte Material, Numerical Modeling, OECTs