Percolation in metal-insulator composites of randomly packed spherocylindrical nanoparticles
Shiva Pokhrel, Brendon Waters, Solveig Felton, Zhi-Feng Huang, Boris, Nadgorny

TL;DR
This study investigates electrical percolation in disordered spherocylinder nanocomposites through experiments and simulations, revealing consistent percolation thresholds and critical exponents across different systems, and highlighting the influence of particle shape and packing.
Contribution
It provides new experimental and theoretical insights into percolation thresholds and critical exponents in jammed spherocylinder systems, linking structural and functional properties.
Findings
Percolation threshold $p_c=0.305$ for conducting nanoparticles.
Critical exponent $t=2.52$ for conductivity.
Percolation threshold for aspect ratio 6.5 is approximately 0.312.
Abstract
While classical percolation is well understood, percolation effects in randomly packed or jammed structures are much less explored. Here we investigate both experimentally and theoretically the electrical percolation in a binary composite system of disordered spherocylinders, to identify the relation between structural (percolation) and functional properties of nanocomposites. Experimentally, we determine the percolation threshold and the conductivity critical exponent for composites of conducting (CrO) and insulating (CrO) rodlike nanoparticles that are nominally geometrically identical, yielding and respectively. Simulations and modeling are implemented through a combination of the mechanical contraction method and a variant of random walk (de Gennes ant) approach, in which charge diffusion is correlated with the system…
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