Interface-engineered non-volatile visible-blind photodetector for in-sensor computing
Abstract Ultraviolet (UV) detection is extensively used in a variety of applications. However, the storage and processing of information after detection require multiple components, resulting in increased energy consumption and data transmission latency. In this paper, a reconfigurable UV photodetec...
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| Format: | Article |
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Nature Portfolio
2025-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-55412-6 |
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| author | Ge Li Donggang Xie Qinghua Zhang Mingzhen Zhang Zhuohui Liu Zheng Wang Jiahui Xie Erjia Guo Meng He Can Wang Lin Gu Guozhen Yang Kuijuan Jin Chen Ge |
| author_facet | Ge Li Donggang Xie Qinghua Zhang Mingzhen Zhang Zhuohui Liu Zheng Wang Jiahui Xie Erjia Guo Meng He Can Wang Lin Gu Guozhen Yang Kuijuan Jin Chen Ge |
| author_sort | Ge Li |
| collection | DOAJ |
| description | Abstract Ultraviolet (UV) detection is extensively used in a variety of applications. However, the storage and processing of information after detection require multiple components, resulting in increased energy consumption and data transmission latency. In this paper, a reconfigurable UV photodetector based on CeO2/SrTiO3 heterostructures is demonstrated with in-sensor computing capabilities achieved through interface engineering. We show that the non-volatile storage capability of the device could be significantly improved by the introduction of an oxygen reservoir. A photodetector array operated as a single-layer neural network was constructed, in which edge detection and pattern recognition were realized without the need for external memory and computing units. The location and classification of corona discharges in real-world environments were also simulated and achieved an accuracy of 100%. The approach proposed here offers promising avenues and material options for creating non-volatile smart photodetectors. |
| format | Article |
| id | doaj-art-32f954f3d8234916a07bfc8ad864823f |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-32f954f3d8234916a07bfc8ad864823f2025-01-05T12:40:35ZengNature PortfolioNature Communications2041-17232025-01-0116111010.1038/s41467-024-55412-6Interface-engineered non-volatile visible-blind photodetector for in-sensor computingGe Li0Donggang Xie1Qinghua Zhang2Mingzhen Zhang3Zhuohui Liu4Zheng Wang5Jiahui Xie6Erjia Guo7Meng He8Can Wang9Lin Gu10Guozhen Yang11Kuijuan Jin12Chen Ge13Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Center for Electron Microscopy and Laboratory of Advanced Materials, Department of Materials Science and Engineering, Tsinghua UniversityBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesBeijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of SciencesAbstract Ultraviolet (UV) detection is extensively used in a variety of applications. However, the storage and processing of information after detection require multiple components, resulting in increased energy consumption and data transmission latency. In this paper, a reconfigurable UV photodetector based on CeO2/SrTiO3 heterostructures is demonstrated with in-sensor computing capabilities achieved through interface engineering. We show that the non-volatile storage capability of the device could be significantly improved by the introduction of an oxygen reservoir. A photodetector array operated as a single-layer neural network was constructed, in which edge detection and pattern recognition were realized without the need for external memory and computing units. The location and classification of corona discharges in real-world environments were also simulated and achieved an accuracy of 100%. The approach proposed here offers promising avenues and material options for creating non-volatile smart photodetectors.https://doi.org/10.1038/s41467-024-55412-6 |
| spellingShingle | Ge Li Donggang Xie Qinghua Zhang Mingzhen Zhang Zhuohui Liu Zheng Wang Jiahui Xie Erjia Guo Meng He Can Wang Lin Gu Guozhen Yang Kuijuan Jin Chen Ge Interface-engineered non-volatile visible-blind photodetector for in-sensor computing Nature Communications |
| title | Interface-engineered non-volatile visible-blind photodetector for in-sensor computing |
| title_full | Interface-engineered non-volatile visible-blind photodetector for in-sensor computing |
| title_fullStr | Interface-engineered non-volatile visible-blind photodetector for in-sensor computing |
| title_full_unstemmed | Interface-engineered non-volatile visible-blind photodetector for in-sensor computing |
| title_short | Interface-engineered non-volatile visible-blind photodetector for in-sensor computing |
| title_sort | interface engineered non volatile visible blind photodetector for in sensor computing |
| url | https://doi.org/10.1038/s41467-024-55412-6 |
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