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The AC and DC Conductivity of Nanocomposites
Author(s) -
D.S. McLachlan,
Godfrey Sauti
Publication year - 2007
Publication title -
journal of nanomaterials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.463
H-Index - 66
eISSN - 1687-4129
pISSN - 1687-4110
DOI - 10.1155/2007/30389
Subject(s) - materials science , percolation threshold , percolation (cognitive psychology) , volume fraction , microstructure , nanocomposite , conductor , condensed matter physics , conductivity , insulator (electricity) , composite material , component (thermodynamics) , phenomenological model , nanoparticle , homogenization (climate) , particle (ecology) , electrical resistivity and conductivity , nanotechnology , thermodynamics , physics , biodiversity , ecology , quantum mechanics , neuroscience , biology , oceanography , geology
The microstructures of binary (conductor-insulator) composites, containing nanoparticles, will usually have one of two basic structures. The first is the matrix structure where the nanoparticles (granules) are embedded in and always coated by the matrix material and there are no particle-particle contacts. The AC and DC conductivity of this microstructure is usually described by the Maxwell-Wagner/Hashin-Shtrikman or Bricklayer model. The second is a percolation structure, which can be thought to be made up by randomly packing the two types of granules (not necessarily the same size) together. In percolation systems, there exits a critical volume fraction below which the electrical properties are dominated by the insulating component and above which the conducting component dominates. Such percolation systems are best analyzed using the two-exponent phenomenological percolation equation (TEPPE). This paper discusses all of the above and addresses the problem of how to distinguish among the microstructures using electrical measurements

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