Programmable black phosphorus image sensor for broadband optoelectronic edge computing
2D materials represent a promising platform for machine vision and edge computing applications, although usually limited to ultraviolet and visible wavelengths. Here, the authors report the realization of a programmable image sensor based on black phosphorus, implementing multispectral imaging and a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-29171-1 |
| _version_ | 1811273515798626304 |
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| author | Seokhyeong Lee Ruoming Peng Changming Wu Mo Li |
| author_facet | Seokhyeong Lee Ruoming Peng Changming Wu Mo Li |
| author_sort | Seokhyeong Lee |
| collection | DOAJ |
| description | 2D materials represent a promising platform for machine vision and edge computing applications, although usually limited to ultraviolet and visible wavelengths. Here, the authors report the realization of a programmable image sensor based on black phosphorus, implementing multispectral imaging and analog in-memory computing functionalities in the near- to mid-infrared range. |
| first_indexed | 2024-04-12T23:00:39Z |
| format | Article |
| id | doaj.art-dbbba17db74e4db7980f9a4ba1ed985a |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-12T23:00:39Z |
| publishDate | 2022-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-dbbba17db74e4db7980f9a4ba1ed985a2022-12-22T03:13:04ZengNature PortfolioNature Communications2041-17232022-03-011311810.1038/s41467-022-29171-1Programmable black phosphorus image sensor for broadband optoelectronic edge computingSeokhyeong Lee0Ruoming Peng1Changming Wu2Mo Li3Department of Electrical and Computer Engineering, University of WashingtonDepartment of Electrical and Computer Engineering, University of WashingtonDepartment of Electrical and Computer Engineering, University of WashingtonDepartment of Electrical and Computer Engineering, University of Washington2D materials represent a promising platform for machine vision and edge computing applications, although usually limited to ultraviolet and visible wavelengths. Here, the authors report the realization of a programmable image sensor based on black phosphorus, implementing multispectral imaging and analog in-memory computing functionalities in the near- to mid-infrared range.https://doi.org/10.1038/s41467-022-29171-1 |
| spellingShingle | Seokhyeong Lee Ruoming Peng Changming Wu Mo Li Programmable black phosphorus image sensor for broadband optoelectronic edge computing Nature Communications |
| title | Programmable black phosphorus image sensor for broadband optoelectronic edge computing |
| title_full | Programmable black phosphorus image sensor for broadband optoelectronic edge computing |
| title_fullStr | Programmable black phosphorus image sensor for broadband optoelectronic edge computing |
| title_full_unstemmed | Programmable black phosphorus image sensor for broadband optoelectronic edge computing |
| title_short | Programmable black phosphorus image sensor for broadband optoelectronic edge computing |
| title_sort | programmable black phosphorus image sensor for broadband optoelectronic edge computing |
| url | https://doi.org/10.1038/s41467-022-29171-1 |
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