Visible-light stimulated synaptic plasticity in amorphous indium-gallium-zinc oxide enabled by monocrystalline double perovskite for high-performance neuromorphic applications

材料科学 神经形态工程学 光电子学 钙钛矿(结构) 异质结 计算机科学 人工神经网络 人工智能 化学 结晶学
作者
Fu Qiang Huang,Feier Fang,Yue Zheng,Qi You,Henan Li,Shaofan Fang,Xiangna Cong,Ke Jiang,Ye Wang,Cheng Han,Wei Chen,Yumeng Shi
出处
期刊:Nano Research [Springer Science+Business Media]
卷期号:16 (1): 1304-1312 被引量:53
标识
DOI:10.1007/s12274-022-4806-4
摘要

Photoelectric synaptic devices have been considered as one of the key components in artificial neuromorphic systems due to their excellent capability to emulate the functions of visual neurons, such as light perception and image processing. Herein, we demonstrate an optically-stimulated artificial synapse with a clear photoresponse from ultraviolet to visible light, which is established on a novel heterostructure consisting of monocrystalline Cs2AgBiBr6 perovskite and indium-gallium-zinc oxide (IGZO) thin film. As compared with pure IGZO, the heterostructure significantly enhances the photoresponse and corresponding synaptic plasticity of the devices, which originate from the superior visible absorption of single-crystal Cs2AgBiBr6 and effective interfacial charge transfer from Cs2AgBiBr6 to IGZO. A variety of synaptic behaviors are realized on the fabricated thin-film transistors, including excitatory postsynaptic current, paired pulse facilitation, short-term, and long-term plasticity. Furthermore, an artificial neural network is simulated based on the photonic potentiation and electrical depression effects of synaptic devices, and an accuracy rate up to 83.8% ± 1.2% for pattern recognition is achieved. This finding promises a simple and efficient way to construct photoelectric synaptic devices with tunable spectrum for future neuromorphic applications.
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