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Gate Metal-Driven Sensing and Memory Bifunctionality in Intrinsically Stretchable Organic Electrochemical Transistors for Soft Neuromorphic Systems.

Created on 31 Aug 2026

Authors

Jiyong Yoon, Jaepyo Jang, Hyunjin Jung, Duhwan Seong, Daeun Kim, Yewon Jeon, Ja Hoon Koo, Sang Min Won, Donghee Son

Published in

Advanced science (Weinheim, Baden-Wurttemberg, Germany). Pages e77505. Aug 30, 2026. Epub Aug 30, 2026.

Abstract

Intrinsically stretchable devices capable of integrating sensing, memory and signal processing are highly desirable for conformal bioelectronics. However, achieving such multifunctionality remains challenging due to conflicting operational requirements and the lack of mechanically compliant electrochemical gating strategies that preserve functional operation under deformation. Here, we present optimal materials and device strategies for intrinsically stretchable organic electrochemical transistors (OECTs) that enable gate metal-driven bifunctionality within a single integrated platform. The device is constructed using a phase-separated elastic semiconductor coupled with an ionically conductive alginate hydrogel, together with two stretchable gate electrodes: (1) Ag/AgCl for transient electrochemical responses; and (2) Au for persistent conductance modulation. By selectively addressing these gate electrodes, the OECT supports both fast, reversible responses for transient signal detection using bio-inspired input waveforms, while also enabling stable conductance modulation for synapse-like memory behavior, which is further utilized to implement artificial neural network (ANN)-based pattern recognition using experimentally extracted conductance states. Furthermore, the bifunctional operation enables associative learning behavior in which repeated paired inputs progressively strengthen the device response, leading to successful threshold-based decision making even under deformation up to 30% strain. Our work establishes an efficient methodology for achieving soft brain-inspired OECT platforms that integrate sensing, memory and neuromorphic functionality.

PMID:
42669643
Bibliographic data and abstract were imported from PubMed on 31 Aug 2026.

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