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The electrical conductivity of binary disordered systems, percolation clusters, fractals and related models

Clerc, J.P., Giraud, G., Laugier, J.M., Luck, J.M.·1990·Advances in Physics

Abstract

We review theoretical and experimental studies of the AC dielectric response of inhomogeneous materials, modelled as bond percolation networks, with a binary (conductor-dielectric) distribution of bond conductances. We first summarize the key results of percolation theory, concerning mostly geometrical and static (DC) transport properties, with emphasis on the scaling properties of the critical region around the percolation threshold. The frequency-dependent (AC) response of a general binary model is then studied by means of various approaches, including the effective-medium approximation, a scaling theory of the critical region, numerical computations using the transfer-matrix algorithm, and several exactly solvable deterministic fractal models. Transient regimes, related to singularities in the complex-frequency plane, are also investigated. Theoretical predictions are made more explicit in two specific cases, namely R-C and RL-C networks, and compared with a broad variety of experimental results, concerning, for example, granular composites, thin films, powders, microemulsions, cermets, porous ceramics and the viscoelastic properties of gels.

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Metadata

Authors
Clerc, J. P., Giraud, G., Laugier, J. M., & Luck, J. M.
Venue
Advances in Physics
Published
1990-06
Volume
39
Issue
3
Pages
191-309
ISSN
  • 0001-8732 (ISSN-L)
  • 1460-6976
OpenAlex
W1978781100
Cited by
692
References
3
FWCI
7.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The electrical conductivity of binary disordered systems, percolation clusters, fractals and related models. https://app.cochat.ai/papers/10.1080/00018739000101501
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Clerc, J. P., Giraud, G., Laugier, J. M., & Luck, J. M. (1990). The electrical conductivity of binary disordered systems, percolation clusters, fractals and related models. Advances in Physics. https://doi.org/10.1080/00018739000101501

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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