异质结
材料科学
光电子学
晶体管
量子点
神经形态工程学
半导体
纳米技术
计算机科学
人工神经网络
电压
电气工程
人工智能
工程类
作者
Kun Liang,Rui Wang,Bingbing Huo,Huihui Ren,Dingwei Li,Yan Wang,Yingjie Tang,Yitong Chen,Chunyan Song,Fanfan Li,Botao Ji,Hong Wang,Bowen Zhu
出处
期刊:ACS Nano
[American Chemical Society]
日期:2022-04-22
卷期号:16 (6): 8651-8661
被引量:97
标识
DOI:10.1021/acsnano.2c00439
摘要
Optoelectronic synaptic transistors with hybrid heterostructure channels have been extensively developed to construct artificial visual systems, inspired by the human visual system. However, optoelectronic transistors taking full advantages of superior optoelectronic synaptic behaviors, low-cost processes, low-power consumption, and environmental benignity remained a challenge. Herein, we report a fully printed, high-performance optoelectronic synaptic transistor based on hybrid heterostructures of heavy-metal-free InP/ZnSe core/shell quantum dots (QDs) and n-type SnO2 amorphous oxide semiconductors (AOSs). The elaborately designed heterojunction improves the separation efficiency of photoexcited charges, leading to high photoresponsivity and tunable synaptic weight changes. Under the coordinated modulation of electrical and optical modes, important biological synaptic behaviors, including excitatory postsynaptic current, short/long-term plasticity, and paired-pulse facilitation, were demonstrated with a low power consumption (∼5.6 pJ per event). The InP/ZnSe QD/SnO2 based artificial vision system illustrated a significantly improved accuracy of 91% in image recognition, compared to that of bare SnO2 based counterparts (58%). Combining the outstanding synaptic characteristics of both AOS materials and heterojunction structures, this work provides a printable, low-cost, and high-efficiency strategy to achieve advanced optoelectronic synapses for neuromorphic electronics and artificial intelligence.
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