Photo-induced non-volatile VO2 phase transition for neuromorphic ultraviolet sensors

Ge Li(Chinese Academy of Sciences), Donggang Xie(Chinese Academy of Sciences), Hai Zhong(Chinese Academy of Sciences), Ziye Zhang(Chinese Academy of Sciences), Xingke Fu(Chinese Academy of Sciences), Qingli Zhou(Capital Normal University), Qiang Li(Qingdao University), Hao Ni(China University of Petroleum, East China), Jiaou Wang(Chinese Academy of Sciences), Er‐Jia Guo(Chinese Academy of Sciences), Meng He(Chinese Academy of Sciences), Can Wang(Chinese Academy of Sciences), Guozhen Yang(Chinese Academy of Sciences), Kuijuan Jin(FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic), Chen Ge(FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic)
Nature Communications
April 1, 2022
Cited by 304Open Access
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Abstract

Abstract In the quest for emerging in-sensor computing, materials that respond to optical stimuli in conjunction with non-volatile phase transition are highly desired for realizing bioinspired neuromorphic vision components. Here, we report a non-volatile multi-level control of VO 2 films by oxygen stoichiometry engineering under ultraviolet irradiation. Based on the reversible regulation of VO 2 films using ultraviolet irradiation and electrolyte gating, we demonstrate a proof-of-principle neuromorphic ultraviolet sensor with integrated sensing, memory, and processing functions at room temperature, and also prove its silicon compatible potential through the wafer-scale integration of a neuromorphic sensor array. The device displays linear weight update with optical writing because its metallic phase proportion increases almost linearly with the light dosage. Moreover, the artificial neural network consisting of this neuromorphic sensor can extract ultraviolet information from the surrounding environment, and significantly improve the recognition accuracy from 24% to 93%. This work provides a path to design neuromorphic sensors and will facilitate the potential applications in artificial vision systems.


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