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Network-Based Assessments of Percolation-Induced Current Distributions in Sheared Rod Macromolecular Dispersions
Author(s) -
Feng Shi,
Simi Wang,
M. Gregory Forest,
Peter J. Mucha,
Ruhai Zhou
Publication year - 2014
Publication title -
multiscale modeling and simulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.037
H-Index - 70
eISSN - 1540-3467
pISSN - 1540-3459
DOI - 10.1137/130926390
Subject(s) - percolation threshold , anisotropy , scaling , conductivity , materials science , condensed matter physics , homogenization (climate) , volume fraction , statistical physics , mesoscopic physics , exponential function , percolation theory , physics , thermodynamics , mathematics , geometry , mathematical analysis , electrical resistivity and conductivity , optics , quantum mechanics , biodiversity , ecology , biology
Conducting high-aspect-ratio rods with 1--10 nm-scale diameters dispersed in poorly conducting matrices at extremely low, $O(1\%)$, volume fractions induce dramatic gains in bulk conductivity at rod percolation threshold. Experimentally [Nan, Shen, and Ma, Annu. Rev. Mater. Res., 40 (2010), pp. 131--151], bulk conductivity abandons the prepercolation, linear scaling with volume fraction that follows from homogenization theory [Zheng et al., Adv. Funct. Mater., 15 (2005), pp. 627--638], and then postpercolation jumps orders of magnitude to approach that of the pure rod macromolecular phase as predicted by classical percolation theory [Stauffer and Aharony, Introduction to Percolation Theory, CRC Press, Boca Raton, FL, 1994]. Our aim here is to use the orientational probability distribution functions from kinetic Brownian rod dispersion flow codes [Forest, Wang, and Zhou, Rheol. Acta, 44 (2004), pp. 80--93] to generate physical three-dimensional (3D) nanorod dispersions, followed by graph-theoretic algorith...

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