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Opis bibliograficzny

Random site percolation on honeycomb lattices with complex neighborhoods / Krzysztof MALARZ // Chaos : an Interdisciplinary Journal of Nonlinear Science ; ISSN 1054-1500. — 2022 — vol. 32 iss. 8, s. 083123-1–083123-11. — Bibliogr. s. 083123-11, Abstr. — Publikacja dostępna online od: 2022-08-16

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Dane bibliometryczne

ID BaDAP141564
Data dodania do BaDAP2022-08-30
Tekst źródłowyURL
DOI10.1063/5.0099066
Rok publikacji2022
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaChaos

Abstract

We present a rough estimation—up to four significant digits, based on the scaling hypothesis and the probability of belonging to the largest cluster vs the occupation probability—of the critical occupation probabilities for the random site percolation problem on a honeycomb lattice with complex neighborhoods containing sites up to the fifth coordination zone. There are 31 such neighborhoods with a radius ranging from one to three and containing 3–24 sites. For two-dimensional regular lattices with compact extended-range neighborhoods, in the limit of the large number 𝑧 of sites in the neighborhoods, the site percolation thresholds 𝑝𝑐 follow the dependency 𝑝𝑐∝1/𝑧, as recently shown by Xun et al. [Phys. Rev. E 105, 024105 (2022)]. On the contrary, non-compact neighborhoods (with holes) destroy this dependence due to the degeneracy of the percolation threshold (several values of 𝑝𝑐 corresponding to the same number 𝑧 of sites in the neighborhoods). An example of a single-value index 𝜁=∑𝑖𝑧𝑖𝑟𝑖—where 𝑧𝑖 and 𝑟𝑖 are the number of sites and radius of the 𝑖th coordination zone, respectively—characterizing the neighborhood and allowing avoiding the above-mentioned degeneracy is presented. The percolation threshold obtained follows the inverse square root dependence 𝑝𝑐∝1/𝜁⎯⎯√. The functions boundaries() (written in C) for basic neighborhoods (for the unique coordination zone) for the Newman and Ziff algorithm [Phys. Rev. E 64, 016706 (2001)] are also presented. The latter may be useful for computer physicists dealing with solid-state physics and interdisciplinary statistical physics applications, where the honeycomb lattice is the underlying network topology.

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