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Numerical computations of conductivity over agglomerated continuum percolation models
Authors:Shigeki Matsutani  Yoshiyuki Shimosako  Yunhong Wang
Institution:Analysis Technology Development Center, Canon Inc., 3-30-2, Shimomaruko, Ohta-ku, Tokyo 146-8501, Japan
Abstract:In order to clarify how the percolation theory governs the conductivities in real materials which consist of small conductive particles, e.g., nanoparticles, with random configurations in an insulator, we numerically investigate the conductivities of continuum percolation models consisting of overlapped particles using the finite difference method as a sequel of our previous article S. Matsutani, Y. Shimosako, Y. Wang, Int. J. Mod. Phys. C 21 (2010) 709–729]. As the previous article showed the shape effect of each particle by handling different aspect ratios of spheroids, in this article we numerically show influences of the agglomeration of the particles on conductivities after we model the agglomerated configuration by employing a simple numerical algorithm which simulate an agglomerated configuration of particles by a natural parameter. We conclude that the dominant agglomeration effect on the conductivities can be interpreted as the size effect of an analyzed region. We also discuss an effect of shape of the agglomerated clusters on its universal property.
Keywords:Continuum percolation  Conductivity  Critical exponents  Agglomerated cluster  Conductive nanoparticle  Finite difference method
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