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Manufacturing of graphene based synaptic devices for optoelectronic applications 被引量:3
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作者 Kui Zhou Ziqi Jia +8 位作者 Xin-Qi Ma Wenbiao Niu Yao Zhou Ning Huang Guanglong Ding Yan Yan Su-Ting Han vellaisamy a l roy Ye Zhou 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2023年第4期150-177,共28页
Neuromorphic computing systems can perform memory and computing tasks in parallel on artificial synaptic devices through simulating synaptic functions,which is promising for breaking the conventional von Neumann bottl... Neuromorphic computing systems can perform memory and computing tasks in parallel on artificial synaptic devices through simulating synaptic functions,which is promising for breaking the conventional von Neumann bottlenecks at hardware level.Artificial optoelectronic synapses enable the synergistic coupling between optical and electrical signals in synaptic modulation,which opens up an innovative path for effective neuromorphic systems.With the advantages of high mobility,optical transparency,ultrawideband tunability,and environmental stability,graphene has attracted tremendous interest for electronic and optoelectronic applications.Recent progress highlights the significance of implementing graphene into artificial synaptic devices.Herein,to better understand the potential of graphene-based synaptic devices,the fabrication technologies of graphene are first presented.Then,the roles of graphene in various synaptic devices are demonstrated.Furthermore,their typical optoelectronic applications in neuromorphic systems are reviewed.Finally,outlooks for development of synaptic devices based on graphene are proposed.This review will provide a comprehensive understanding of graphene fabrication technologies and graphene-based synaptic device for optoelectronic applications,also present an outlook for development of graphene-based synaptic device in future neuromorphic systems. 展开更多
关键词 GRAPHENE synaptic device MEMRISTOR optoelectronic applications
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Nanowire-based synaptic devices for neuromorphic computing 被引量:1
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作者 Xue Chen Bingkun Chen +3 位作者 Pengfei Zhao vellaisamy a l roy Su-Ting Han Ye Zhou 《Materials Futures》 2023年第2期94-108,共15页
The traditional von Neumann structure computers cannot meet the demands of high-speed big data processing;therefore,neuromorphic computing has received a lot of interest in recent years.Brain-inspired neuromorphic com... The traditional von Neumann structure computers cannot meet the demands of high-speed big data processing;therefore,neuromorphic computing has received a lot of interest in recent years.Brain-inspired neuromorphic computing has the advantages of low power consumption,high speed and high accuracy.In human brains,the data transmission and processing are realized through synapses.Artificial synaptic devices can be adopted to mimic the biological synaptic functionalities.Nanowire(NW)is an important building block for nanoelectronics and optoelectronics,and many efforts have been made to promote the application of NW-based synaptic devices for neuromorphic computing.Here,we will introduce the current progress of NW-based synaptic memristors and synaptic transistors.The applications of NW-based synaptic devices for neuromorphic computing will be discussed.The challenges faced by NW-based synaptic devices will be proposed.We hope this perspective will be beneficial for the application of NW-based synaptic devices in neuromorphic systems. 展开更多
关键词 NANOWIRES SYNAPSE MEMRISTOR TRANSISTOR neuromorphic computing
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