期刊
SCIENTIFIC REPORTS
卷 5, 期 -, 页码 -出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/srep16568
关键词
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资金
- Graphene Part & Material Development Program (MOTIE) through the Ministry of Trade, Industry Energy [10044380]
- Mid-career Researcher Program through a NRF grant - Korea government (MSIP) [2013R1A2A2A01067717]
- National Research Foundation of Korea [2013R1A2A2A01067717] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
A predictive model is proposed that quantitatively describes the synergistic behavior of the electrical conductivities of CNTs and graphene in CNT:graphene hybrids. The number of CNT-to-CNT, graphene-to-graphene, and graphene-to-CNT contacts is calculated assuming a random distribution of CNTs and graphene particles in the hybrids and using an orientation density function. Calculations reveal that the total number of contacts reaches a maximum at a specific composition and depends on the particle sizes of the graphene and CNTs. The hybrids, prepared using inkjet printing, are distinguished by higher electrical conductivities than that of 100% CNT or graphene at certain composition ratios. These experimental results provide strong evidence that this approach involving constituent element contacts is suitable for investigating the properties of particulate hybrid materials.
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