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

被引:34
作者
Huang, Fu [1 ]
Fang, Feier [1 ]
Zheng, Yue [1 ]
You, Qi [1 ]
Li, Henan [2 ]
Fang, Shaofan [1 ]
Cong, Xiangna [1 ]
Jiang, Ke [1 ]
Wang, Ye [3 ]
Han, Cheng [1 ]
Chen, Wei [4 ,5 ,6 ]
Shi, Yumeng [2 ]
机构
[1] Shenzhen Univ, Inst Microscale Optoelect, Int Collaborat Lab 2D Mat Optoelect Sci & Technol, Shenzhen 518060, Peoples R China
[2] Shenzhen Univ, Coll Elect & Informat Engn, Shenzhen 518060, Peoples R China
[3] Zhengzhou Univ, Sch Phys & Microelect, Key Lab Mat Phys, Minist Educ, Zhengzhou 450052, Peoples R China
[4] Natl Univ Singapore, Dept Phys, Singapore 117542, Singapore
[5] Natl Univ Singapore, Dept Chem, Singapore 117543, Singapore
[6] Tianjin Univ, Joint Sch Natl Univ Singapore & Tianjin Univ, Int Campus, Fuzhou 350207, Peoples R China
基金
中国国家自然科学基金;
关键词
artificial optoelectronic synapse; monocrystalline Cs2AgBiBr6; thin-film transistors; ultraviolet-to-visible; neuromorphic computing; THIN-FILM TRANSISTORS; MEMORY;
D O I
10.1007/s12274-022-4806-4
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
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.
引用
收藏
页码:1304 / 1312
页数:9
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