Shim Wonbo, Kwon Youbin, Jeon Seung-Yeol, Yu Woong-Ryeol
Department of Materials Science and Engineering and Research Institute of Advanced Materials (RIAM), Seoul National University, Seoul, Korea.
Sci Rep. 2015 Nov 13;5:16568. doi: 10.1038/srep16568.
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.
提出了一种预测模型，该模型定量描述了碳纳米管（CNT）与石墨烯的碳纳米管-石墨烯杂化物中电导率的协同行为。假设杂化物中碳纳米管和石墨烯颗粒呈随机分布，并使用取向密度函数，计算碳纳米管-碳纳米管、石墨烯-石墨烯以及石墨烯-碳纳米管之间的接触数量。计算结果表明，在特定组成下接触总数达到最大值，并且取决于石墨烯和碳纳米管的颗粒尺寸。通过喷墨打印制备的杂化物，在某些组成比例下具有比100%碳纳米管或石墨烯更高的电导率。这些实验结果提供了有力证据，表明这种涉及组成元素接触的方法适用于研究颗粒状杂化材料的性能。
