Dye-sensitized perovskite/organic semiconductor ternary transistors for artificial synapses

被引:23
|
作者
Wang, Xin [1 ]
Hao, Dandan [1 ]
Huang, Jia [1 ,2 ]
机构
[1] Tongji Univ, Sch Mat Sci & Engn, Interdisciplinary Mat Res Ctr, Frontiers Sci Ctr Intelligent Autonomous Syst, Shanghai 201804, Peoples R China
[2] Tongji Univ, Translat Res Inst Brain & Brain Like Intelligence, Shanghai Peoples Hosp 4, Sch Mat Sci & Engn, Shanghai 200434, Peoples R China
基金
中国国家自然科学基金;
关键词
perovskites; Rhodamine B; organic semiconductors; synapses; artificial intelligence; ORGANIC-DYE; SYNAPTIC DEVICES; PHOTODETECTOR; GRAPHENE; NANOCRYSTALS; PERFORMANCE;
D O I
10.1007/s40843-021-1999-5
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Artificial intelligence (AI) is attractive due to its brain-like working pattern and efficient task processing. Light-stimulated synaptic devices show enormous potential in the field of neuromorphic computing. Here, we develop a kind of optical synaptic devices with a ternary photoactive material system consisting of organometal halide perovskite CH3NH3-PbBr3, organic dye Rhodamine B (RhB), and organic semiconductor pentacene. We found that the introduction of RhB can significantly improve the light absorption and photo-responsivity of the composite devices. The devices exhibit acceptable synaptic behaviors and realize a brain-like learning pattern toward various input signals. Notably, the devices can respond to light signals with a low intensity of 1.1 mu W cm(-2) and be operated at low working voltages. The devices achieve a low energy consumption of 1.25 fJ at a drain-source voltage of -50 mu V, comparable to that of a biological synaptic event. Moreover, the devices simulate a self-learning process, indicating their significantly improved learning efficiency. Also, the devices can recognize subtle differences in Morse codes, showing potential in the practical application of information encryption. The excellent optoelectronic performance demonstrates that the proposed ternary synaptic devices are advantageous in developing new AI.
引用
收藏
页码:2521 / 2528
页数:8
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