Light-Stimulated Synaptic Transistors Fabricated by a Facile Solution Process Based on Inorganic Perovskite Quantum Dots and Organic Semiconductors

被引:263
作者
Wang, Kai [1 ]
Dai, Shilei [1 ]
Zhao, Yiwei [1 ]
Wang, Yan [1 ]
Liu, Chuan [2 ]
Huang, Jia [1 ,3 ]
机构
[1] Tongji Univ, Sch Mat Sci & Engn, Interdisciplinary Mat Res Ctr, Shanghai 201804, Peoples R China
[2] Sun Yat Sen Univ, Sch Elect & Informat Technol, Guangdong Prov Key Lab Display Mat & Technol, State Key Lab Optoelect Mat & Technol, Guangzhou 510275, Guangdong, Peoples R China
[3] Tongji Univ, Putuo Dist Peoples Hosp, Shanghai 200060, Peoples R China
基金
中国国家自然科学基金;
关键词
blended materials; inorganic halide perovskite quantum dots; light-stimulated synaptic transistors; organic semiconductors; solution process; PLASTICITY; DEVICE;
D O I
10.1002/smll.201900010
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Implementation of artificial intelligent systems with light-stimulated synaptic emulators may enhance computational speed by providing devices with high bandwidth, low power computation requirements, and low crosstalk. One of the key challenges is to develop light-stimulated devices that can response to light signals in a neuron-/synapse-like fashion. A simple and effective solution process to fabricate light-stimulated synaptic transistors (LSSTs) based on inorganic halide perovskite quantum dots (IHP QDs) and organic semiconductors (OSCs) is reported. Blending IHP QDs and OSCs not only improves the charge separation efficiency of the photoexcited charges, but also induces delayed decay of the photocurrent in the IHP QDs/OSCs hybrid film. The enhanced charge separation efficiency results in high photoresponsivity, while the induced delayed decay of the photocurrent is critical to achieving light-stimulating devices with a memory effect, which are important for achieving high synaptic performance. The LSSTs can respond to light signals in a highly neuron-/synapse-like fashion. Both short-term and long-term synaptic behaviors have been realized, which may lay the foundation for the future implementation of artificial intelligent systems that are enabled by light signals. More significantly, LSSTs are fabricated by a facile solution process which can be easily applied to large-scale samples.
引用
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页数:8
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