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Biological Spiking Synapse Constructed from Solution Processed Bimetal Core–Shell Nanoparticle Based Composites
Authors:Li Zhou  Jing‐Yu Mao  Yi Ren  Jia‐Qin Yang  Shi‐Rui Zhang  Ye Zhou  Qiufan Liao  Yu‐Jia Zeng  Haiquan Shan  Zongxiang Xu  Jingjing Fu  Yan Wang  Xiaoli Chen  Ziyu Lv  Su‐Ting Han  Vellaisamy A L Roy
Affiliation:1. College of Electronic Science & Technology, Shenzhen University, Shenzhen, China;2. Institute for Advanced Study, Shenzhen University, Shenzhen, China;3. Shenzhen Key Laboratory of Laser Engineering, College of Optoelectronic Engineering, Shenzhen University, Shenzhen, China;4. Department of Chemistry, South University of Science and Technology of China, Shenzhen, China;5. Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China
Abstract:Inspired by the highly parallel processing power and low energy consumption of the biological nervous system, the development of a neuromorphic computing paradigm to mimic brain‐like behaviors with electronic components based artificial synapses may play key roles to eliminate the von Neumann bottleneck. Random resistive access memory (RRAM) is suitable for artificial synapse due to its tunable bidirectional switching behavior. In this work, a biological spiking synapse is developed with solution processed Au@Ag core–shell nanoparticle (NP)‐based RRAM. The device shows highly controllable bistable resistive switching behavior due to the favorable Ag ions migration and filament formation in the composite film, and the good charge trapping and transport property of Au@Ag NPs. Moreover, comprehensive synaptic functions of biosynapse including paired‐pulse depression, paired‐pulse facilitation, post‐tetanic potentiation, spike‐time‐dependent plasticity, and the transformation from short‐term plasticity to long‐term plasticity are emulated. This work demonstrates that the solution processed bimetal core–shell nanoparticle‐based biological spiking synapse provides great potential for the further creation of a neuromorphic computing system.
Keywords:artificial synapses  bimetal core–  shell nanoparticles  neuromorphic computing  resistive switching  solution process
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