Detachable and Reusable: Reinforced π‐Ion Film for Modular Synaptic Reservoir Computing

Organic electrochemical transistors (OECTs) show significant promise for bioelectronics and neuromorphic computing applications due to their low operating voltage, biocompatibility, and ion-mediated charge transport. However, conventional OECTs with permanently fixed organic semiconductor (OSC) layers lack modularity and reusability for sustainable electronics with e-waste reduction. Here, a novel reinforced π-ion film OECT featuring a detachable and reusable OSC layer that creates a unified composite with dielectric and gate components, establishing a new paradigm for modular device architectures is proposed. Through solvent exchange and mesh-supported gelation, π-ion film exhibits enhanced mechanical stability, detachability, and superior electrical performance. The OECTs demonstrate remarkable 35-day air stability, 50-day storage lifetime, and over 80% performance retention after 600 electrical cycles. Furthermore, the π-ion film OECTs exhibit synaptic behavior with paired-pulse facilitation of 167% and long-term memory retention of 34% maintained synaptic current after 250 s. These characteristics enable reservoir computing applications with a 4-bit encoding scheme for image recognition, processing 16 × 16 pixelated input patterns, demonstrating reliable state differentiation and stable signal retention. Even at lab-scale development, reinforced π-ion film OECTs represent a promising eco-friendly platform for modular, reusable components in next-generation neuromorphic computing systems, aligning with electronic waste reduction policies by enabling component reuse.

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Institutions

Publication Details

Journal
Advanced Materials
Published
2025-06-27
DOI
https://doi.org/10.1002/adma.202506729
Citations
5
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
3.65

Funders

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article

Detachable and Reusable: Reinforced π‐Ion Film for Modular Synaptic Reservoir Computing

G. Woo, Won‐Woo Lee, Chang Min Lee, Eun Kwang Lee et al.
5 citations
Advanced Materials
Advanced Memory and Neural Computing
3.65
article

Detachable and Reusable: Reinforced π‐Ion Film for Modular Synaptic Reservoir Computing

G. Woo, Won‐Woo Lee, Chang Min Lee, Eun Kwang Lee, Hocheon Yoo, Seung Min Lee, Yong Hee Kim, Min Ju Jung
article en
5 citations

Abstract

Organic electrochemical transistors (OECTs) show significant promise for bioelectronics and neuromorphic computing applications due to their low operating voltage, biocompatibility, and ion-mediated charge transport. However, conventional OECTs with permanently fixed organic semiconductor (OSC) layers lack modularity and reusability for sustainable electronics with e-waste reduction. Here, a novel reinforced π-ion film OECT featuring a detachable and reusable OSC layer that creates a unified composite with dielectric and gate components, establishing a new paradigm for modular device architectures is proposed. Through solvent exchange and mesh-supported gelation, π-ion film exhibits enhanced mechanical stability, detachability, and superior electrical performance. The OECTs demonstrate remarkable 35-day air stability, 50-day storage lifetime, and over 80% performance retention after 600 electrical cycles. Furthermore, the π-ion film OECTs exhibit synaptic behavior with paired-pulse facilitation of 167% and long-term memory retention of 34% maintained synaptic current after 250 s. These characteristics enable reservoir computing applications with a 4-bit encoding scheme for image recognition, processing 16 × 16 pixelated input patterns, demonstrating reliable state differentiation and stable signal retention. Even at lab-scale development, reinforced π-ion film OECTs represent a promising eco-friendly platform for modular, reusable components in next-generation neuromorphic computing systems, aligning with electronic waste reduction policies by enabling component reuse.

Advanced MaterialsVol. 37(41)
Hanyang University (KR), Pukyong National University (KR)
National Research Foundation, Pukyong National University, Ministry of Trade, Industry and Energy, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Industry-Academic Cooperation Foundation of Kyungnam University, Institute for Information and Communications Technology Promotion
Responsible consumption and production
Openalex Percentile: Top 7%
Advanced Memory and Neural Computing
3.65
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