Percolation of particles on recursive lattices: (I) a new theoretical approach
Andrea Corsi, P. D. Gujrati (The Department of Physics, The, Department of Polymer Science, The University of Akron)

TL;DR
This paper introduces a recursive lattice approach to precisely analyze particle percolation in materials, accounting for size, shape, and interactions, advancing understanding of filler effects in composite systems.
Contribution
A novel recursive method for calculating percolation thresholds that incorporates particle size, shape, and interactions in lattice models.
Findings
Exact derivation of percolation threshold as a function of system parameters
Analysis of correlations among monodisperse particles on percolation
Framework for future studies on size, shape disparities, and polymer matrices
Abstract
Powdered materials of sizes ranging from nanometers to microns are widely used in materials science and are carefully selected to enhance the performance of a matrix. Fillers have been used in order to improve, among the others, mechanical, rheological, electrical, magnetic and thermal properties of the host material. Changes in the shape and size of the filler particles are known to affect and, in some cases, magnify such enhancement. This effect is usually associated with an increased probability of formation of a percolating cluster of filler particles in the matrix. Previous model calculations of percolation in polymeric systems generally did not take the possible difference between the size and shape of monomers and filler particles into account and usually neglected interactions or accounted for them in a crude fashion. In our approach the original lattice is replaced by a…
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Taxonomy
TopicsTheoretical and Computational Physics · Material Dynamics and Properties · Surfactants and Colloidal Systems
