Side ionic-gated perovskite/graphene heterojunction synaptic transistor with bipolar photoresponse for neuromorphic computing

被引:0
作者
XIAOYING HE [1 ,2 ]
MINGHAO XU [1 ]
SHILIN LIU [1 ]
KUN WANG [1 ]
BOWEN CAO [1 ]
LAN RAO [1 ]
XIANGJUN XIN [1 ]
机构
[1] School of Electronic Engineering and Beijing Key Laboratory of Space-Ground Interconnection and Convergence,Beijing University of Posts and Telecommunications
[2] Key Laboratory of Semiconductor Materials Science, Beijing Key Laboratory of Low Dimensional Semiconductor Materials and Devices,Institute of Semiconductors, Chinese Academy of
关键词
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暂无
中图分类号
TB34 [功能材料]; TN32 [半导体三极管(晶体管)];
学科分类号
080501 ;
摘要
By combining the good charge transport property of graphene and the excellent photo-carrier generation characteristic of perovskite nanocrystal, we propose and demonstrate an ionic-gated synaptic transistor based on Cs PbBr3∕graphene heterojunction for bipolar photoresponse. Controlling the potential barrier of the Cs PbBr3∕graphene heterojunction by the ionic-gate of the electrical double-layer effect can promote the separation of photogenerated carriers and effectively retard their recombination. Using the ionic-gate-tunable Fermi level of graphene and the pinning effect of perovskite nanocrystal, the bipolar photocurrent responses corresponding to the excitatory and inhibitory short-term and long-term plasticity are realized by adjusting the negative gate bias. A series of synaptic functions including logic operation, Morse coding, the optical memory and electrical erasure effect, and light-assisted re-learning have also been demonstrated in an optoelectronic collaborative pathway. Furthermore, the excellent optical synaptic behaviors also contribute to the handwritten font recognition accuracy of ~95% in artificial neural network simulations. The results pave the way for the fabrication of bipolar photoelectric synaptic transistors and bolster new directions in the development of future integrated human retinotopic vision neuromorphic systems.
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页码:1167 / 1174
页数:8
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  • [2] CsPbBr3/graphene nanowall artificial optoelectronic synapses for controllable perceptual learning[J] Li Runze;Dong Yibo;Qian Fengsong;Xie Yiyang;Chen Xi;Zhang Qiming;Yue Zengji;Gu Min PhotoniX 2023,
  • [3] Artificial synapses enabled neuromorphic computing: From blueprints to reality[J] Li Junyan;Shen Zongjie;Cao Yixin;Tu Xin;Zhao Chun;Liu Yina;Wen Zhen Nano Energy 2022, PA
  • [4] Optoelectronic Synapses Based on MoS2 Transistors for Accurate Image Recognition[J] Huang Biying;Li Na;Wang Qinqin;Ouyang Chen;He Congli;Zhang Lianchang;Du Luojun;Yang Wei;Yang Rong;Shi Dongxia;Zhang Guangyu Advanced Materials Interfaces 2022,
  • [5] A Light‐Stimulus Flexible Synaptic Transistor Based on Ion‐Gel Side‐Gated Graphene for Neuromorphic Computing[J] Liu Shilin;He Xiaoying;Su Jiale;Cao Bowen;Rao Lan;Li Chong;Yang Xiaohong;Xin Xiangjun Advanced Photonics Research 2022,
  • [6] Enhancing the Efficiency of Perovskite Solar Cells through Interface Engineering with MoS<sub>2</sub> Quantum Dots[J] Luo Zhao;Guo Tan;Wang Chen;Zou Jifan;Wang Jianxun;Dong Wei;Li Jing;Zhang Wei;Zhang Xiaoyu;Zheng Weitao Nanomaterials 2022,
  • [7] Quasi-two-dimensional α-molybdenum oxide thin film prepared by magnetron sputtering for neuromorphic computing.[J] Wu Zhenfa;Shi Peng;Xing Ruofei;Xing Yuzhi;Ge Yufeng;Wei Lin;Wang Dong;Zhao Le;Yan Shishen;Chen Yanxue RSC advances 2022,
  • [8] Self‐Assembled Nanostructures of Quantum Dot/Conjugated Polymer Hybrids for Photonic Synaptic Transistors with Ultralow Energy Consumption and Zero‐Gate Bias (Adv. Funct. Mater. 6/2022)[J] Ercan Ender;Lin YanCheng;Yang WeiChen;Chen WenChang Advanced Functional Materials 2022, 6
  • [9] Ultrafast Responsive and Low‐Energy‐Consumption Poly(3‐hexylthiophene)/Perovskite Quantum Dots Composite Film‐Based Photonic Synapse[J] Chen JungYao;Yang DongLin;Jhuang FuCheng;Fang YuHan;Benas JeanSebastien;Liang FangCheng;Kuo ChiChing Advanced Functional Materials 2021,
  • [10] Artificial Synapse Based on Organic–Inorganic Hybrid Perovskite with Electric and Optical Modulation[J] Jie Lao;Wen Xu;Chunli Jiang;Ni Zhong;Bobo Tian;Hechun Lin;Chunhua Luo;Jadranka Travas-Sejdic;Hui Peng;Chun-Gang Duan Advanced Electronic Materials 2021,