Integrated in-memory sensor and computing of artificial vision system based on reversible bonding transition-induced nitrogen-doped carbon quantum dots (N-CQDs)
Carbon quantum dots (CQDs) have been used in memristors due to their attractive optical and electronic properties, which are considered candidates for brain-inspired computing devices. In this work, the performance of CQDs-based memristors is improved by utilizing nitrogen-doping. In contrast, nitro...
| Main Authors: | , , , , , , , |
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| Format: | Article |
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Tsinghua University
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/113954/ |
| _version_ | 1848866364946644992 |
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| author | Yu, Tianqi Li, Jie Lei, Wei Shafe, Suhaidi Mohtar, Mohd Nazim Jindapetch, Nattha van Dommelen, Paphavee Zhao, Zhiwei |
| author_facet | Yu, Tianqi Li, Jie Lei, Wei Shafe, Suhaidi Mohtar, Mohd Nazim Jindapetch, Nattha van Dommelen, Paphavee Zhao, Zhiwei |
| author_sort | Yu, Tianqi |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Carbon quantum dots (CQDs) have been used in memristors due to their attractive optical and electronic properties, which are considered candidates for brain-inspired computing devices. In this work, the performance of CQDs-based memristors is improved by utilizing nitrogen-doping. In contrast, nitrogen-doped CQDs (N-CQDs)-based optoelectronic memristors can be driven with smaller programming voltages (−0.6 to 0.7 V) and exhibit lower powers (78 nW/0.29 µW). The physical mechanism can be attributed to the reversible transition between C–N and C=N with lower binding energy induced by the electric field and the generation of photogenerated carriers by ultraviolet light irradiation, which adjusts the conductivity of the initial N-CQDs to implement resistance switching. Importantly, the convolutional image processing based on various cross kernels is efficiently demonstrated by stable multi-level storage properties. An N-CQDs-based optoelectronic reservoir computing implements impressively high accuracy in both no noise and various noise modes when recognizing the Modified National Institute of Standards and Technology (MNIST) dataset. It illustrates that N-CQDs-based memristors provide a novel strategy for developing artificial vision system with integrated in-memory sensor and computing. |
| first_indexed | 2025-11-15T14:19:26Z |
| format | Article |
| id | upm-113954 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T14:19:26Z |
| publishDate | 2024 |
| publisher | Tsinghua University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1139542025-01-31T03:39:28Z http://psasir.upm.edu.my/id/eprint/113954/ Integrated in-memory sensor and computing of artificial vision system based on reversible bonding transition-induced nitrogen-doped carbon quantum dots (N-CQDs) Yu, Tianqi Li, Jie Lei, Wei Shafe, Suhaidi Mohtar, Mohd Nazim Jindapetch, Nattha van Dommelen, Paphavee Zhao, Zhiwei Carbon quantum dots (CQDs) have been used in memristors due to their attractive optical and electronic properties, which are considered candidates for brain-inspired computing devices. In this work, the performance of CQDs-based memristors is improved by utilizing nitrogen-doping. In contrast, nitrogen-doped CQDs (N-CQDs)-based optoelectronic memristors can be driven with smaller programming voltages (−0.6 to 0.7 V) and exhibit lower powers (78 nW/0.29 µW). The physical mechanism can be attributed to the reversible transition between C–N and C=N with lower binding energy induced by the electric field and the generation of photogenerated carriers by ultraviolet light irradiation, which adjusts the conductivity of the initial N-CQDs to implement resistance switching. Importantly, the convolutional image processing based on various cross kernels is efficiently demonstrated by stable multi-level storage properties. An N-CQDs-based optoelectronic reservoir computing implements impressively high accuracy in both no noise and various noise modes when recognizing the Modified National Institute of Standards and Technology (MNIST) dataset. It illustrates that N-CQDs-based memristors provide a novel strategy for developing artificial vision system with integrated in-memory sensor and computing. Tsinghua University 2024-08-27 Article PeerReviewed Yu, Tianqi and Li, Jie and Lei, Wei and Shafe, Suhaidi and Mohtar, Mohd Nazim and Jindapetch, Nattha and van Dommelen, Paphavee and Zhao, Zhiwei (2024) Integrated in-memory sensor and computing of artificial vision system based on reversible bonding transition-induced nitrogen-doped carbon quantum dots (N-CQDs). Nano Research, 17 (11). pp. 10049-10057. ISSN 1998-0124; eISSN: 1998-0000 https://link.springer.com/article/10.1007/s12274-024-6966-x?error=cookies_not_supported&code=35020a0e-4a6d-4321-b791-9a86d23c667c 10.1007/s12274-024-6966-x |
| spellingShingle | Yu, Tianqi Li, Jie Lei, Wei Shafe, Suhaidi Mohtar, Mohd Nazim Jindapetch, Nattha van Dommelen, Paphavee Zhao, Zhiwei Integrated in-memory sensor and computing of artificial vision system based on reversible bonding transition-induced nitrogen-doped carbon quantum dots (N-CQDs) |
| title | Integrated in-memory sensor and computing of artificial vision system based on reversible bonding transition-induced nitrogen-doped carbon quantum dots (N-CQDs) |
| title_full | Integrated in-memory sensor and computing of artificial vision system based on reversible bonding transition-induced nitrogen-doped carbon quantum dots (N-CQDs) |
| title_fullStr | Integrated in-memory sensor and computing of artificial vision system based on reversible bonding transition-induced nitrogen-doped carbon quantum dots (N-CQDs) |
| title_full_unstemmed | Integrated in-memory sensor and computing of artificial vision system based on reversible bonding transition-induced nitrogen-doped carbon quantum dots (N-CQDs) |
| title_short | Integrated in-memory sensor and computing of artificial vision system based on reversible bonding transition-induced nitrogen-doped carbon quantum dots (N-CQDs) |
| title_sort | integrated in-memory sensor and computing of artificial vision system based on reversible bonding transition-induced nitrogen-doped carbon quantum dots (n-cqds) |
| url | http://psasir.upm.edu.my/id/eprint/113954/ http://psasir.upm.edu.my/id/eprint/113954/ http://psasir.upm.edu.my/id/eprint/113954/ |