Electrolyte-gated optoelectronic transistors for neuromorphic applications  

作　　者：Jinming Bi Yanran Li Rong Lu Honglin Song Jie Jiang 

机构地区：[1]Hunan Key Laboratory of Nanophotonics and Devices,School of Physics,Central South University,Changsha 410083,China [2]State Key Laboratory of Precision Manufacturing for Extreme Service Performance,College of Mechanical and Electrical Engineering,Central South University,Changsha 410083,China

出　　处：《Journal of Semiconductors》2025年第2期6-22,共17页半导体学报(英文版)

基　　金：supported by the Hunan Science Fund for Distinguished Young Scholars(2023JJ10069);the National Natural Science Foundation of China(52172169);the Project of State Key Laboratory of Precision Manufacturing for Extreme Service Performance,Central South University(ZZYJKT2024-02).

摘　　要：The traditional von Neumann architecture has demonstrated inefficiencies in parallel computing and adaptive learn-ing,rendering it incapable of meeting the growing demand for efficient and high-speed computing.Neuromorphic comput-ing with significant advantages such as high parallelism and ultra-low power consumption is regarded as a promising pathway to overcome the limitations of conventional computers and achieve the next-generation artificial intelligence.Among various neuromorphic devices,the artificial synapses based on electrolyte-gated transistors stand out due to their low energy consump-tion,multimodal sensing/recording capabilities,and multifunctional integration.Moreover,the emerging optoelectronic neuro-morphic devices which combine the strengths of photonics and electronics have demonstrated substantial potential in the neu-romorphic computing field.Therefore,this article reviews recent advancements in electrolyte-gated optoelectronic neuromor-phic transistors.First,it provides an overview of artificial optoelectronic synapses and neurons,discussing aspects such as device structures,operating mechanisms,and neuromorphic functionalities.Next,the potential applications of optoelectronic synapses in different areas such as artificial visual system,pain system,and tactile perception systems are elaborated.Finally,the current challenges are summarized,and future directions for their developments are proposed.

关 键 词：neuromorphic computing electrolyte-gated transistors artificial synapses optoelectronic devices 

分 类 号：TN32[电子电信—物理电子学]