TY - JOUR
T1 - Tailored Zwitterion Electrolyte-Driven Electric Double Layer Dynamics for Enhanced Ion Retention in Artificial Synapses
AU - Lee, Donghwa
AU - Jeon, Young Un
AU - An, Myeongjin
AU - Sung, Junho
AU - Gong, Suhyun
AU - Song, Seulki
AU - Lee, Eunho
N1 - Publisher Copyright:
© 2025 Wiley-VCH GmbH.
PY - 2025
Y1 - 2025
N2 - Electrolyte-gated organic synaptic transistors (EGOSTs) are promising candidates for next-generation neuromorphic devices due to their low-power operation, tunable conductance, and fast response from ion transport. To realize EGOSTs using conventional organic solvent electrolytes, issues such as unstable electric double layer (EDL) formation and rapid depolarization often arise, resulting in poor ion retention and limited non-volatile performance. In contrast, aqueous electrolytes offer high electrochemical stability, an eco-friendly process, and biocompatibility. However, strategies to precisely regulate ion dynamics in aqueous systems remain insufficiently developed. Here, a zwitterion electrolyte design based on electrostatic inter-ion repulsion is proposed to enhance non-volatile characteristics in aqueous systems. By introducing a symmetrical charge-pair structure into the [Li-TFSI] electrolyte, it is demonstrated that ion back-diffusion can be suppressed, and stable EDL formation maintained, as confirmed by electrochemical impedance spectroscopy, cyclic voltammetry, UV–vis absorption, and real-time FT-IR analysis. The fabricated EGOSTs implement stable synaptic characteristics, including enhanced long-term plasticity and potentiation/depression. Furthermore, artificial neural network simulations using a modified National Institute of Standards and Technology (MNIST) handwritten digit dataset demonstrate a recognition accuracy of 94.88%. These findings provide valuable insights into electrolyte design strategies for stable and efficient neuromorphic devices through the control of inter-ion interactions.
AB - Electrolyte-gated organic synaptic transistors (EGOSTs) are promising candidates for next-generation neuromorphic devices due to their low-power operation, tunable conductance, and fast response from ion transport. To realize EGOSTs using conventional organic solvent electrolytes, issues such as unstable electric double layer (EDL) formation and rapid depolarization often arise, resulting in poor ion retention and limited non-volatile performance. In contrast, aqueous electrolytes offer high electrochemical stability, an eco-friendly process, and biocompatibility. However, strategies to precisely regulate ion dynamics in aqueous systems remain insufficiently developed. Here, a zwitterion electrolyte design based on electrostatic inter-ion repulsion is proposed to enhance non-volatile characteristics in aqueous systems. By introducing a symmetrical charge-pair structure into the [Li-TFSI] electrolyte, it is demonstrated that ion back-diffusion can be suppressed, and stable EDL formation maintained, as confirmed by electrochemical impedance spectroscopy, cyclic voltammetry, UV–vis absorption, and real-time FT-IR analysis. The fabricated EGOSTs implement stable synaptic characteristics, including enhanced long-term plasticity and potentiation/depression. Furthermore, artificial neural network simulations using a modified National Institute of Standards and Technology (MNIST) handwritten digit dataset demonstrate a recognition accuracy of 94.88%. These findings provide valuable insights into electrolyte design strategies for stable and efficient neuromorphic devices through the control of inter-ion interactions.
KW - electric double layer
KW - electrolyte-gated transistors
KW - ion dynamics
KW - neuromorphic computing
KW - zwitterion
UR - https://www.scopus.com/pages/publications/105012139841
U2 - 10.1002/adfm.202513684
DO - 10.1002/adfm.202513684
M3 - Article
AN - SCOPUS:105012139841
SN - 1616-301X
JO - Advanced Functional Materials
JF - Advanced Functional Materials
ER -