Ultralow Power Optical Synapses Based on MoS2 Layers by Indium-Induced Surface Charge Doping for Biomimetic Eyes

Hu, Yunxia, Dai, Mingjin, Feng, Wei, Zhang, Xin, Gao, Feng, Zhang, Shichao, Tan, Biying, Zhang, Jia, Shuai, Yong, Fu, Yong Qing and Hu, PingAn (2021) Ultralow Power Optical Synapses Based on MoS2 Layers by Indium-Induced Surface Charge Doping for Biomimetic Eyes. Advanced Materials, 33 (52). p. 2104960. ISSN 0935-9648

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Official URL: https://doi.org/10.1002/adma.202104960


Biomimetic eyes, with their excellent imaging functions such as large fields of view and low aberrations, have shown great potentials in the fields of visual prostheses and robotics. However, high power consumption and difficulties in device integration severely restrict their rapid development. In this study, an artificial synaptic device consisting of a molybdenum disulfide (MoS2) film coated with an electron injection enhanced indium (In) layer is proposed to increase the channel conductivity and reduce the power consumption. This artificial synaptic device achieves an ultralow power consumption of 68.9 aJ per spike, which is several hundred times lower than those of the optical artificial synapses reported in literature. Furthermore, the multilayer and polycrystalline MoS2 film shows persistent photoconductivity performance, effectively resulting in short-term plasticity, long-term plasticity, and their transitions between each other. A 5 × 5 In/MoS2 synaptic device array is constructed into a hemispherical electronic retina, demonstrating its impressive image sensing and learning functions. This research provides a new methodology for effective control of artificial synaptic devices, which have great opportunities used in bionic retinas, robots, and visual prostheses.

Item Type: Article
Additional Information: Funding information: This work is supported by National Basic Research Program of China (2019YFB1310200), Foundation for Innovative Research Groups of the National Natural Science Foundation of China (NSFC no. 51521003), Self-Planned Task of State Key Laboratory of Robotics and System (HIT) (no. SKLRS201801B), as well as Newton Mobility Grant (IE161019) and International Exchange Grant (IEC/NSFC/201078) through Royal Society and NFSC.
Uncontrolled Keywords: synaptic devices, MoS2, ultra-low power consumption, biomimetic eyes, image learning
Subjects: F200 Materials Science
F300 Physics
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: John Coen
Date Deposited: 27 Sep 2021 13:04
Last Modified: 16 Oct 2022 08:00
URI: https://nrl.northumbria.ac.uk/id/eprint/47361

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