High-performance synaptic transistors for neuromorphic computing  

作　　者：Hai Zhong Qin-Chao Sun Guo Li Jian-Yu Du He-Yi Huang Er-Jia Guo Meng He Can Wang Guo-Zhen Yang Chen Ge Kui-Juan Jin 钟海;孙勤超;李果;杜剑宇;黄河意;郭尔佳;何萌;王灿;杨国桢;葛琛;金奎娟(Beijing National Laboratory for Condensed Matter Physics,Institute of Physics,Chinese Academy of Sciences,Beijing 100190,China;School of Physical Sciences,University of Chinese Academy of Science,Beijing 100049,China;Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences,Beijing 100049,China;Songshan Lake Materials Laboratory,Dongguan 523808,China)

机构地区：[1]Beijing National Laboratory for Condensed Matter Physics,Institute of Physics,Chinese Academy of Sciences,Beijing 100190,China [2]School of Physical Sciences,University of Chinese Academy of Science,Beijing 100049,China [3]Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences,Beijing 100049,China [4]Songshan Lake Materials Laboratory,Dongguan 523808,China

出　　处：《Chinese Physics B》2020年第4期1-14,共14页中国物理B（英文版）

基　　金：Project supported by the National Key R&D Program of China(Grant Nos.2017YFA0303604 and 2019YFA0308500);the Youth Innovation Promotion Association of Chinese Academy of Sciences(Grant No.2018008);the Key Research Program of Frontier Sciences of Chinese Academy of Sciences(Grant No.QYZDJSSW-SLH020);the National Natural Science Foundation of China(Grant Nos.11674385,11404380,11721404,and 11874412)。

摘　　要：The further development of traditional von Neumann-architecture computers is limited by the breaking of Moore’s law and the von Neumann bottleneck, which make them unsuitable for future high-performance artificial intelligence (AI)systems. Therefore, new computing paradigms are desperately needed. Inspired by the human brain, neuromorphic computing is proposed to realize AI while reducing power consumption. As one of the basic hardware units for neuromorphic computing, artificial synapses have recently aroused worldwide research interests. Among various electronic devices that mimic biological synapses, synaptic transistors show promising properties, such as the ability to perform signal transmission and learning simultaneously, allowing dynamic spatiotemporal information processing applications. In this article, we provide a review of recent advances in electrolyte-and ferroelectric-gated synaptic transistors. Their structures, materials,working mechanisms, advantages, and disadvantages will be presented. In addition, the challenges of developing advanced synaptic transistors are discussed.

关 键 词：SYNAPTIC transistor artificial SYNAPSE SYNAPTIC PLASTICITY electrolyte GATING FERROELECTRIC GATING 

分 类 号：TN322[电子电信—物理电子学]