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

被引:250
作者
Li, Ge [1 ,2 ]
Xie, Donggang [1 ,3 ]
Zhong, Hai [1 ]
Zhang, Ziye [1 ,4 ,5 ]
Fu, Xingke [1 ]
Zhou, Qingli [4 ,5 ]
Li, Qiang [6 ]
Ni, Hao [3 ]
Wang, Jiaou [7 ]
Guo, Er-jia [1 ]
He, Meng [1 ]
Wang, Can [1 ,2 ]
Yang, Guozhen [1 ]
Jin, Kuijuan [1 ,2 ]
Ge, Chen [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Phys, Beijing Natl Lab Condensed Matter Phys, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] China Univ Petr East China, Coll Sci, Qingdao 266580, Peoples R China
[4] Capital Normal Univ, Key Lab Terahertz Optoelect, Minist Educ, Beijing 100048, Peoples R China
[5] Capital Normal Univ, Beijing Adv Innovat Ctr Imaging Theory & Technol, Dept Phys, Beijing 100048, Peoples R China
[6] Qingdao Univ, State Key Lab Biofibers & Ecotext, Univ Ind Joint Ctr Ocean Observat & Broadband Com, Coll Phys, Qingdao 266071, Peoples R China
[7] Chinese Acad Sci, Inst High Energy Phys, Beijing Synchrotron Radiat Facil, Beijing 100049, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
METAL-INSULATOR-TRANSITION; DRIVEN; STATES;
D O I
10.1038/s41467-022-29456-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 VO2 films by oxygen stoichiometry engineering under ultraviolet irradiation. Based on the reversible regulation of VO2 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. Bioinspired neuromorphic vision components are highly desired for the emerging in-sensor computing technology. Here, Ge et al. develop an array of optoelectronic synapses capable of memorizing and processing ultraviolet images facilitated by photo-induced non-volatile phase transition in VO2 films.
引用
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页数:9
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