Department of Chemistry, SUNY College of Environmental Science and Forestry, One Forestry Drive, Syracuse, New York 13210, USA.
J Chem Phys. 2013 Dec 14;139(22):224904. doi: 10.1063/1.4840098.
A model is presented that integrates the critical path approximation with percolation theory to describe the dependence of electrical conductivity upon volume fraction in nanofiber-based composites. The theory accounts for clustering and correlation effects that reflect non-randomness in the spatial distribution of the particles. Results from this formalism are compared to experimental measurements performed upon carbon nanotube-based conductive nanocomposites.
提出了一个模型,将关键路径逼近与渗流理论相结合,以描述基于纳米纤维的复合材料中电导率随体积分数的依赖关系。该理论考虑了团聚和相关效应,这些效应反映了粒子空间分布的非随机性。该形式体系的结果与基于碳纳米管的导电纳米复合材料的实验测量进行了比较。