Biological Spiking Synapse Constructed from Solution Processed Bimetal Core–Shell Nanoparticle Based Composites |
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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 |
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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 |
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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. |
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Keywords: | artificial synapses bimetal core– shell nanoparticles neuromorphic computing resistive switching solution process |
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