Hybridization state transition-driven carbon quantum dot (CQD)-based resistive switches for bionic synapses
As an emerging carbon-based material, carbon quantum dots (CQDs) have shown unstoppable prospects in the field of bionic electronics with their outstanding optoelectronic properties and unique biocompatible characteristics. In this study, a novel CQD-based memristor is proposed for neuromorphic comp...
| Main Authors: | , , , , , |
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| Format: | Article |
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Royal Society of Chemistry (RSC)
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/108219/ |
| _version_ | 1848865104855040000 |
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| author | Yu, Tianqi Fang, Yong Chen, Xinyue Liu, Min Shafie, Suhaidi Mohtar, Mohd Nazim |
| author_facet | Yu, Tianqi Fang, Yong Chen, Xinyue Liu, Min Shafie, Suhaidi Mohtar, Mohd Nazim |
| author_sort | Yu, Tianqi |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | As an emerging carbon-based material, carbon quantum dots (CQDs) have shown unstoppable prospects in the field of bionic electronics with their outstanding optoelectronic properties and unique biocompatible characteristics. In this study, a novel CQD-based memristor is proposed for neuromorphic computing. Unlike the models that rely on the formation and rupturing of conductive filaments, it is speculated that the resistance switching mechanism of CQD-based memristors is due to the conductive path caused by the hybridization state transition of the sp2 carbon domain and sp3 carbon domain induced by the reversible electric field. This avoids the drawback of uncontrollable nucleation sites leading to the random formation of conductive filaments in resistive switching. Importantly, it illustrates that the coefficient of variation (CV) of the threshold voltage can be as low as −1.551% and 0.083%, which confirms the remarkable uniform switching characteristics. Interestingly, the Pavlov's dog reflection as an important biological behavior can be demonstrated by the samples. Finally, the accuracy recognition rate of MNIST handwriting can reach up to 96.7%, which is very close to the ideal number (97.8%). A carbon-based memristor based on a new mechanism presented provides new possibilities for the improvement of brain-like computing. |
| first_indexed | 2025-11-15T13:59:24Z |
| format | Article |
| id | upm-108219 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:59:24Z |
| publishDate | 2023 |
| publisher | Royal Society of Chemistry (RSC) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1082192024-06-13T03:02:39Z http://psasir.upm.edu.my/id/eprint/108219/ Hybridization state transition-driven carbon quantum dot (CQD)-based resistive switches for bionic synapses Yu, Tianqi Fang, Yong Chen, Xinyue Liu, Min Shafie, Suhaidi Mohtar, Mohd Nazim As an emerging carbon-based material, carbon quantum dots (CQDs) have shown unstoppable prospects in the field of bionic electronics with their outstanding optoelectronic properties and unique biocompatible characteristics. In this study, a novel CQD-based memristor is proposed for neuromorphic computing. Unlike the models that rely on the formation and rupturing of conductive filaments, it is speculated that the resistance switching mechanism of CQD-based memristors is due to the conductive path caused by the hybridization state transition of the sp2 carbon domain and sp3 carbon domain induced by the reversible electric field. This avoids the drawback of uncontrollable nucleation sites leading to the random formation of conductive filaments in resistive switching. Importantly, it illustrates that the coefficient of variation (CV) of the threshold voltage can be as low as −1.551% and 0.083%, which confirms the remarkable uniform switching characteristics. Interestingly, the Pavlov's dog reflection as an important biological behavior can be demonstrated by the samples. Finally, the accuracy recognition rate of MNIST handwriting can reach up to 96.7%, which is very close to the ideal number (97.8%). A carbon-based memristor based on a new mechanism presented provides new possibilities for the improvement of brain-like computing. Royal Society of Chemistry (RSC) 2023 Article PeerReviewed Yu, Tianqi and Fang, Yong and Chen, Xinyue and Liu, Min and Shafie, Suhaidi and Mohtar, Mohd Nazim (2023) Hybridization state transition-driven carbon quantum dot (CQD)-based resistive switches for bionic synapses. Materials Horizons, 10 (6). pp. 2181-2190. ISSN 2051-6347; ESSN: 2051-6355 https://pubs.rsc.org/en/content/articlelanding/2023/mh/d3mh00117b 10.1039/d3mh00117b |
| spellingShingle | Yu, Tianqi Fang, Yong Chen, Xinyue Liu, Min Shafie, Suhaidi Mohtar, Mohd Nazim Hybridization state transition-driven carbon quantum dot (CQD)-based resistive switches for bionic synapses |
| title | Hybridization state transition-driven carbon quantum dot (CQD)-based resistive switches for bionic synapses |
| title_full | Hybridization state transition-driven carbon quantum dot (CQD)-based resistive switches for bionic synapses |
| title_fullStr | Hybridization state transition-driven carbon quantum dot (CQD)-based resistive switches for bionic synapses |
| title_full_unstemmed | Hybridization state transition-driven carbon quantum dot (CQD)-based resistive switches for bionic synapses |
| title_short | Hybridization state transition-driven carbon quantum dot (CQD)-based resistive switches for bionic synapses |
| title_sort | hybridization state transition-driven carbon quantum dot (cqd)-based resistive switches for bionic synapses |
| url | http://psasir.upm.edu.my/id/eprint/108219/ http://psasir.upm.edu.my/id/eprint/108219/ http://psasir.upm.edu.my/id/eprint/108219/ |