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Random site percolation thresholds on square lattice for complex neighborhoods containing sites up to the sixth coordination zone

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  • Malarz, Krzysztof

Abstract

The site percolation problem is one of the core topics in statistical physics. Evaluation of the percolation threshold, which separates two phases (sometimes described as conducting and insulating), is useful for a range of problems from core condensed matter to interdisciplinary application of statistical physics in epidemiology or other transportation or connectivity problems. In this paper with Newman–Ziff fast Monte Carlo algorithm and finite-size scaling theory the random site percolation thresholds pc for a square lattice with complex neighborhoods containing sites from the sixth coordination zone are computed. Complex neighborhoods are those that contain sites from various coordination zones (which are not necessarily compact). We also present the source codes of the appropriate procedures (written in C) to be replaced in original Newman–Ziff code. Similar to results previously found for the honeycomb lattice, the percolation thresholds for complex neighborhoods on a square lattice follow the power law pc(ζ)∝ζ−γ2 with γ2=0.5454(60), where ζ=∑iziri is the weighted distance of sites in complex neighborhoods (ri and zi are the distance from the central site and the number of sites in the coordination zone i, respectively).

Suggested Citation

  • Malarz, Krzysztof, 2023. "Random site percolation thresholds on square lattice for complex neighborhoods containing sites up to the sixth coordination zone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    • Handle: RePEc:eee:phsmap:v:632:y:2023:i:p1:s0378437123009020
    DOI: 10.1016/j.physa.2023.129347
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    References listed on IDEAS

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    1. M. E. J. Newman & R. M. Ziff, 2001. "A Fast Monte Carlo Algorithm for Site or Bond Percolation," Working Papers 01-02-010, Santa Fe Institute.
    2. Ziff, Robert M., 2021. "Percolation and the pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    3. Lebrecht, W. & Centres, P.M. & Ramirez-Pastor, A.J., 2021. "Empirical formula for site and bond percolation thresholds on Archimedean and 2-uniform lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    4. M. Kotwica & P. Gronek & K. Malarz, 2019. "Efficient space virtualization for the Hoshen–Kopelman algorithm," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 30(08), pages 1-20, August.
    5. K. Malarz & S. Kaczanowska & K. Kułakowski, 2002. "Are Forest Fires Predictable?," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 13(08), pages 1017-1031.
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