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Abstract
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.
Highlights
Carbon nanotubes (CNTs):graphene hybrids prepared by simple dispersion and a film processing method were used in the experimental work
Inkjet printing has been employed as a film processing method because of its simplicity and ability to make complex patterns; this approach has been used in applications such as memory devices, solar cells, organic thin film transistors, and light emitting diodes[37]
This paper presents a predictive model for quantitatively explaining the synergistic behavior of CNT:graphene hybrids
Summary
CNT:graphene hybrids prepared by simple dispersion and a film processing method were used in the experimental work. Various processing methods have been developed to make CNT:graphene hybrid films. Inkjet printing has been employed as a film processing method because of its simplicity and ability to make complex patterns; this approach has been used in applications such as memory devices, solar cells, organic thin film transistors, and light emitting diodes[37]. Inkjet printing was used in this study to prepare CNT:graphene hybrids from separate solutions, i.e., inks. In this study, a simple wrapping technique was used to prepare stable CNT:graphene hybrid inks[40]. CNT:graphene hybrids prepared by inkjet printing were used to validate the predictive model
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