Journal of Functional Materials and Devices, Volume. 31, Issue 4, 283(2025)

Application of organic electrochemical transistors based on mixed ionic electrolytes in neural synaptic simulation

QI Haorong and ZHANG Bei*
Author Affiliations
  • School of Physics and Technology, Xinjiang University, Urumqi 830046, China
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    This study develops hybrid ionic electrolytes by blending EMIM-TFSI, EMIM-BF4, and EMIM-PF6 with a polymer electrolyte (poly(DADMATFSI), PIL) to enhance the performance of organic electrochemical transistors (OECTs) for neuromorphic computing. The primary objective is to improve ionic transport speed and non-volatility in OECTs, thereby enabling better emulation of synaptic functions. Device performance was systematically evaluated through electrical characterization techniques, electrochemical impedance spectroscopy, and multilayer perceptron simulations. Results demonstrate that hybrid electrolytes based on EMIM cations significantly enhance ionic mobility, with electrolytes containing EMIM-TFSI exhibiting superior overall performance. OECTs incorporating EMIM-TFSI-based electrolytes displayed rapid ionic transport and robust non-volatile properties, effectively mimicking synaptic plasticity. In a handwritten digit recognition task, the OECT device employing EMIM-TFSI-modified electrolytes achieved an accuracy of 84.2%, surpassing the other two electrolyte systems by 19.1% and 12.7%, respectively. This work provides valuable insights and methodologies for advancing high-performance artificial synaptic OECTs, holding promising implications for future neuromorphic computing technologies.

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    QI Haorong, ZHANG Bei. Application of organic electrochemical transistors based on mixed ionic electrolytes in neural synaptic simulation[J]. Journal of Functional Materials and Devices, 2025, 31(4): 283

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    Paper Information

    Received: Mar. 13, 2025

    Accepted: Aug. 22, 2025

    Published Online: Aug. 22, 2025

    The Author Email: ZHANG Bei (zhb@xju.edu.cn)

    DOI:10.20027/j.gncq.2025.0029

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