Ionic-Electronic Coupling Modulation Induced by Nanofibrous Phase Separation for Synaptic Organic Electrochemical Transistors

Canghao Xu , Lin Gao , Yujie Peng , Changjian Liu , Ding Zheng , Junsheng Yu

Aggregate ›› 2025, Vol. 6 ›› Issue (10) : e70129

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Aggregate ›› 2025, Vol. 6 ›› Issue (10) : e70129 DOI: 10.1002/agt2.70129
RESEARCH ARTICLE

Ionic-Electronic Coupling Modulation Induced by Nanofibrous Phase Separation for Synaptic Organic Electrochemical Transistors

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Abstract

Organic electrochemical transistors (OECTs) represent a promising platform for neuromorphic computing, owing to their unique ability to achieve non-volatile memory under low-voltage operation. The achievement of biologically relevant synaptic functionalities within OECTs remains challenging due to uncontrolled ionic-electronic coupling, limited device stability, and fabrication complexity. Herein, we report synaptic OECTs based on polymer blends of the ion-permeable semiconductor (Pg2T-T) and the ion-blocking polymers (PMMA, PS), which are designed to modulate ionic diffusion within the transistor channel. Morphological and electrochemical characterizations demonstrate that the incorporation of these blocking polymers induces nanofibrous phase separation, resulting in continuous Pg2T-T nanofibers that facilitate electronic transport, interspersed with PMMA-rich domains serving as physical barriers to ion migration. Based on the systematic evaluation of OECT transistor and synapse performances, we identified an optimal Pg2T-T to PMMA composition ratio of 1:2, which yields significantly enhanced synaptic behaviors, including excitatory postsynaptic current (EPSC), tunable paired-pulse facilitation and depression (PPF/PPD), as well as stable long-term potentiation and depression (LTP/LTD) across multiple writing/erasing cycles. Moreover, by integrating the device into a neuromorphic system based on the Fashion-MNIST dataset, achieving a classification accuracy of 80.41%, which surpassed the ideal synapse baseline, attributed to the beneficial stochasticity of physical weight updates. These results highlight a scalable material strategy for high-robust synaptic emulation in OECTs, offering a promising foundation for future bioinspired neuromorphic hardware.

Keywords

artificial synapses / ionic-electronic coupling modulation / nanofibrous phase separation / neuromorphic computing / organic electrochemical transistor

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Canghao Xu, Lin Gao, Yujie Peng, Changjian Liu, Ding Zheng, Junsheng Yu. Ionic-Electronic Coupling Modulation Induced by Nanofibrous Phase Separation for Synaptic Organic Electrochemical Transistors. Aggregate, 2025, 6(10): e70129 DOI:10.1002/agt2.70129

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2025 The Author(s). Aggregate published by SCUT, AIEI, and John Wiley & Sons Australia, Ltd.

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