A morphological investigation of conductive networks in polymers loaded with carbon nanotubes
A morphological investigation of conductive networks in polymers loaded with carbon nanotubes
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DOI：
10.1016/j.commatsci.2016.12.041
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发表时间：
2017-04-01
影响因子：
3.3
通讯作者：
Yaldiz, R.
中科院分区：
文献类型：
--
作者：
Lubineau, G.;Mora, A.;Yaldiz, R.
在聚合物中负载导电纳米颗粒，如碳纳米管，是改善其电学性能的一种流行方法。合成的材料通常用其纳米颗粒的重量或体积分数来描述。由于这些导电粒子只能够在非常短的范围内进行电荷转移，因此大多数粒子既不与渗流路径相互作用，也不参与电转移。了解这些粒子是如何排列的对于提高它们的效率是必要的。了解这些粒子如何在特定方向或所有方向上参与创建渗滤团和非渗滤团是特别有意义的。为此，我们提出了一种基于网络的全形态分析的计算建模策略，以系统地分析导电网络并显示粒子是如何排列的。这项研究为设计这些类型的材料和适合表征重要特征的例子提供了有用的信息，例如代表性体积元素、纳米管弯曲的作用和隧道截止距离的作用。(C)2017爱思唯尔B.V.保留所有权利。
Loading polymers with conductive nanoparticles, such as carbon nanotubes, is a popular approach toward improving their electrical properties. Resultant materials are typically described by the weight or volume fractions of their nanoparticles. Because these conductive particles are only capable of charge transfer over a very short range, most do not interact with the percolated paths nor do they participate to the electrical transfer. Understanding how these particles are arranged is necessary to increase their efficiency. It is of special interest to understand how these particles participate in creating percolated clusters, either in a specific or in all directions, and non-percolated clusters. For this, we present a computational modeling strategy based on a full morphological analysis of a network to systematically analyse conductive networks and show how particles are arranged. This study provides useful information for designing these types of materials and examples suitable for characterizing important features, such as representative volume element, the role of nanotube tortuosity and the role of tunneling cutoff distance. (C) 2017 Elsevier B.V. All rights reserved.