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Photo-induced non-volatile VO(2) phase transition for neuromorphic ultraviolet sensors

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 stoichio...

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Autores principales: Li, Ge, Xie, Donggang, Zhong, Hai, Zhang, Ziye, Fu, Xingke, Zhou, Qingli, Li, Qiang, Ni, Hao, Wang, Jiaou, Guo, Er-jia, He, Meng, Wang, Can, Yang, Guozhen, Jin, Kuijuan, Ge, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975822/
https://www.ncbi.nlm.nih.gov/pubmed/35365642
http://dx.doi.org/10.1038/s41467-022-29456-5
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author Li, Ge
Xie, Donggang
Zhong, Hai
Zhang, Ziye
Fu, Xingke
Zhou, Qingli
Li, Qiang
Ni, Hao
Wang, Jiaou
Guo, Er-jia
He, Meng
Wang, Can
Yang, Guozhen
Jin, Kuijuan
Ge, Chen
author_facet Li, Ge
Xie, Donggang
Zhong, Hai
Zhang, Ziye
Fu, Xingke
Zhou, Qingli
Li, Qiang
Ni, Hao
Wang, Jiaou
Guo, Er-jia
He, Meng
Wang, Can
Yang, Guozhen
Jin, Kuijuan
Ge, Chen
author_sort Li, Ge
collection PubMed
description 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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spelling pubmed-89758222022-04-20 Photo-induced non-volatile VO(2) phase transition for neuromorphic ultraviolet sensors Li, Ge Xie, Donggang Zhong, Hai Zhang, Ziye Fu, Xingke Zhou, Qingli Li, Qiang Ni, Hao Wang, Jiaou Guo, Er-jia He, Meng Wang, Can Yang, Guozhen Jin, Kuijuan Ge, Chen Nat Commun Article 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. Nature Publishing Group UK 2022-04-01 /pmc/articles/PMC8975822/ /pubmed/35365642 http://dx.doi.org/10.1038/s41467-022-29456-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Ge
Xie, Donggang
Zhong, Hai
Zhang, Ziye
Fu, Xingke
Zhou, Qingli
Li, Qiang
Ni, Hao
Wang, Jiaou
Guo, Er-jia
He, Meng
Wang, Can
Yang, Guozhen
Jin, Kuijuan
Ge, Chen
Photo-induced non-volatile VO(2) phase transition for neuromorphic ultraviolet sensors
title Photo-induced non-volatile VO(2) phase transition for neuromorphic ultraviolet sensors
title_full Photo-induced non-volatile VO(2) phase transition for neuromorphic ultraviolet sensors
title_fullStr Photo-induced non-volatile VO(2) phase transition for neuromorphic ultraviolet sensors
title_full_unstemmed Photo-induced non-volatile VO(2) phase transition for neuromorphic ultraviolet sensors
title_short Photo-induced non-volatile VO(2) phase transition for neuromorphic ultraviolet sensors
title_sort photo-induced non-volatile vo(2) phase transition for neuromorphic ultraviolet sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975822/
https://www.ncbi.nlm.nih.gov/pubmed/35365642
http://dx.doi.org/10.1038/s41467-022-29456-5
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