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Autor principal: Daniels, Ryan K.
Formato: Preprint
Publicado: 2026
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Acceso en línea:https://arxiv.org/abs/2603.05374
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author Daniels, Ryan K.
author_facet Daniels, Ryan K.
contents This work extends the universal finite-size scaling framework for continuum percolation from two-dimensional (2D) to quasi-three-dimensional (Q3D) stick systems, in which sequentially deposited wires of finite diameter stack vertically on a flat substrate. Using Monte Carlo simulation, the percolation threshold is determined for isotropic Q3D stick systems as $N_c l^2 = 6.850923 \pm 0.00014$, approximately $21.5\%$ above the established 2D value of $5.6373$. The threshold is shown to be independent of the wire diameter-to-length ratio $d/l$, reflecting the scale invariance of the contact topology under sequential deposition. Simulation results indicate that, as with 2D networks, by introducing a nonuniversal metric factor, the spanning probability of Q3D stick percolation on square systems with free boundary conditions falls on the same universal scaling function as that for 2D continuum and lattice percolation. This provides substantiating evidence that Q3D stick percolation falls on the same universal scaling function as that for 2D stick percolation and lattice percolation.
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institution arXiv
publishDate 2026
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spellingShingle Finite-size scaling in quasi-3D stick percolation
Daniels, Ryan K.
Statistical Mechanics
Disordered Systems and Neural Networks
This work extends the universal finite-size scaling framework for continuum percolation from two-dimensional (2D) to quasi-three-dimensional (Q3D) stick systems, in which sequentially deposited wires of finite diameter stack vertically on a flat substrate. Using Monte Carlo simulation, the percolation threshold is determined for isotropic Q3D stick systems as $N_c l^2 = 6.850923 \pm 0.00014$, approximately $21.5\%$ above the established 2D value of $5.6373$. The threshold is shown to be independent of the wire diameter-to-length ratio $d/l$, reflecting the scale invariance of the contact topology under sequential deposition. Simulation results indicate that, as with 2D networks, by introducing a nonuniversal metric factor, the spanning probability of Q3D stick percolation on square systems with free boundary conditions falls on the same universal scaling function as that for 2D continuum and lattice percolation. This provides substantiating evidence that Q3D stick percolation falls on the same universal scaling function as that for 2D stick percolation and lattice percolation.
title Finite-size scaling in quasi-3D stick percolation
topic Statistical Mechanics
Disordered Systems and Neural Networks
url https://arxiv.org/abs/2603.05374