Temperature-Dependence of All-Solid-State Organic Electrochemical Transistors

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

Organic electrochemical transistors (OECTs) are appealing platforms for neuromorphic computing and biosensing, as they mimic the brains functionality of interacting electronic and ionic charges. While their rise to date has attracted much attention and revealed excellent application potential, little is known about the underlying physics. This deficiency applies in particular to the pronounced hysteresis found in the transfer curves - a property which, applicable as short- or long-term memory effect, is essential for neuromorphic functionality. Here we report, to the best of our knowledge, on the first temperature-dependent measurements of OECTs, which reveal remarkable insights on multiple device features to allow a glimpse into the thermodynamics of the underlying electrochemical reaction.

Details

OriginalspracheEnglisch
Titel2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)978-1-6654-4273-2
ISBN (Print)978-1-6654-4274-9
PublikationsstatusVeröffentlicht - 2022
Peer-Review-StatusJa

Publikationsreihe

ReiheIEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)

Konferenz

Titel2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022
Dauer10 - 13 Juli 2022
StadtVienna
LandÖsterreich

Externe IDs

ORCID /0000-0002-9773-6676/work/142247066

Schlagworte

Schlagwörter

  • hysteresis, neuroniorphic computing, OECT, organic electrochemical transistor, temperature