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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-8975822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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