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1.State Key Laboratory of Luminescence Science and Technology, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
2.University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
3.State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
4.Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun 130033, China
5.Materials Science and Engineering Program, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia
Nan Zhang (zhangnan@ciomp.ac.cn)
Shaojuan Li (lishaojuan@ciomp.ac.cn)
Received:22 July 2024,
Revised:21 January 2025,
Accepted:18 February 2025,
Published Online:17 March 2025,
Published:31 May 2025
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Tan, F. et al. Physisorption-assistant optoelectronic synaptic transistors based on Ta2NiSe5/SnS2 heterojunction from ultraviolet to near-infrared. Light: Science & Applications, 14, 1278-1289 (2025).
Tan, F. et al. Physisorption-assistant optoelectronic synaptic transistors based on Ta2NiSe5/SnS2 heterojunction from ultraviolet to near-infrared. Light: Science & Applications, 14, 1278-1289 (2025). DOI: 10.1038/s41377-025-01792-3.
Neuromorphic computing vision is the most promising technological solution to overcome the arithmetic bottleneck in m
achine vision applications. All-in-one neuromorphic sensors have been attracting increased attention because they can integrate visual perception
processing
and memory functionalities into one single device. However
the limited responsivity and data retention time of all-in-one neuromorphic sensors usually hinder their potential in multispectral machine vision
especially in the near-infrared (NIR) band which contains critical information for pattern recognition. Here
we demonstrate physisorption-assistant optoelectronic synaptic transistors based on Ta
2
NiSe
5
/SnS
2
heterojunction
which present tunable synaptic functionality in broadband (375–1310 nm). We propose a strategy about the physisorption-assistant persistent photoconductivity (PAPPC) effect to effectively solve the problem in detecting and storing the NIR light information. Under this strategy
the responsivity and data retention time of our devices were significantly enhanced and prolonged in broadband from 375 to 1310 nm. Further
the devices realize multilevel non-volatile optoelectronic memory through the modulation of several optical and back-gate signals to simulate emotion-controlled learning and memory processes
optical writing-electric erasing
and associative learning. Moreover
we developed a simplified human visual system to simulate color-cognitive perception and memory functions. Our approach offers a route for creating advanced all-in-one neuromorphic sensors and developing neuromorphic computing vision.
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