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Modeling and characterization of the electrical conductivity on metal nanoparticles/carbon nanotube/polymer composites
Flexible conductive films have good deformability and conductivity, and are expected to be used in flexible electronic devices. In this paper, four kinds of flexible conductive films were successfully prepared by compounding nano-sized metal (Ni, Cu, Au or AuCu alloy) particles to CNT surface and th...
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/PMC9213557/ https://www.ncbi.nlm.nih.gov/pubmed/35729335 http://dx.doi.org/10.1038/s41598-022-14596-x |
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author | Wang, Yang Lu, Sijian He, Wenke Gong, Shen Zhang, Yunqian Zhao, Xinsi Fu, Yuanyuan Zhu, Zhenghong |
author_facet | Wang, Yang Lu, Sijian He, Wenke Gong, Shen Zhang, Yunqian Zhao, Xinsi Fu, Yuanyuan Zhu, Zhenghong |
author_sort | Wang, Yang |
collection | PubMed |
description | Flexible conductive films have good deformability and conductivity, and are expected to be used in flexible electronic devices. In this paper, four kinds of flexible conductive films were successfully prepared by compounding nano-sized metal (Ni, Cu, Au or AuCu alloy) particles to CNT surface and then dispersing to polydimethylsiloxane matrix. Experiment results show that the conductivity of these prepared films are almost two orders of magnitude higher than that of CNT/polydimethylsiloxane films with the same CNT loadings. A simulation model based on percolation network theory and Monte Carlo technology is introduced to study the influence of nanoparticles on the composite conductivity. Results confirmed that the introduction of nanoparticles effectively reduces the effective resistance of CNT and the tunnelling resistance at CNT junctions. The intrinsic conductivity and the length diameter ratio of CNT, the intrinsic conductivity, the size and the coverage ratio of nanoparticles are the core parameters affecting the conductivity of composite. Compared with CNT/polydimethylsiloxane films, the optimized theoretical conductivity of these nano-sized particles enhanced composites can be further improved. |
format | Online Article Text |
id | pubmed-9213557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92135572022-06-23 Modeling and characterization of the electrical conductivity on metal nanoparticles/carbon nanotube/polymer composites Wang, Yang Lu, Sijian He, Wenke Gong, Shen Zhang, Yunqian Zhao, Xinsi Fu, Yuanyuan Zhu, Zhenghong Sci Rep Article Flexible conductive films have good deformability and conductivity, and are expected to be used in flexible electronic devices. In this paper, four kinds of flexible conductive films were successfully prepared by compounding nano-sized metal (Ni, Cu, Au or AuCu alloy) particles to CNT surface and then dispersing to polydimethylsiloxane matrix. Experiment results show that the conductivity of these prepared films are almost two orders of magnitude higher than that of CNT/polydimethylsiloxane films with the same CNT loadings. A simulation model based on percolation network theory and Monte Carlo technology is introduced to study the influence of nanoparticles on the composite conductivity. Results confirmed that the introduction of nanoparticles effectively reduces the effective resistance of CNT and the tunnelling resistance at CNT junctions. The intrinsic conductivity and the length diameter ratio of CNT, the intrinsic conductivity, the size and the coverage ratio of nanoparticles are the core parameters affecting the conductivity of composite. Compared with CNT/polydimethylsiloxane films, the optimized theoretical conductivity of these nano-sized particles enhanced composites can be further improved. Nature Publishing Group UK 2022-06-21 /pmc/articles/PMC9213557/ /pubmed/35729335 http://dx.doi.org/10.1038/s41598-022-14596-x 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Yang Lu, Sijian He, Wenke Gong, Shen Zhang, Yunqian Zhao, Xinsi Fu, Yuanyuan Zhu, Zhenghong Modeling and characterization of the electrical conductivity on metal nanoparticles/carbon nanotube/polymer composites |
title | Modeling and characterization of the electrical conductivity on metal nanoparticles/carbon nanotube/polymer composites |
title_full | Modeling and characterization of the electrical conductivity on metal nanoparticles/carbon nanotube/polymer composites |
title_fullStr | Modeling and characterization of the electrical conductivity on metal nanoparticles/carbon nanotube/polymer composites |
title_full_unstemmed | Modeling and characterization of the electrical conductivity on metal nanoparticles/carbon nanotube/polymer composites |
title_short | Modeling and characterization of the electrical conductivity on metal nanoparticles/carbon nanotube/polymer composites |
title_sort | modeling and characterization of the electrical conductivity on metal nanoparticles/carbon nanotube/polymer composites |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213557/ https://www.ncbi.nlm.nih.gov/pubmed/35729335 http://dx.doi.org/10.1038/s41598-022-14596-x |
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