Condensed Matter Physics, 2014, vol. 17, No. 3, p. 33006:1-11
DOI:10.5488/CMP.17.33006
Title:
Jamming and percolation of parallel squares in single-cluster growth model
Author(s):
 
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I.A. Kriuchevskyi
(Taras Shevchenko Kiev National University, Department of Physics, 2 Academician Glushkov Avenue, 031127 Kyiv, Ukraine)
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L.A. Bulavin
(Taras Shevchenko Kiev National University, Department of Physics, 2 Academician Glushkov Avenue, 031127 Kyiv, Ukraine)
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Yu.Yu. Tarasevich
(Astrakhan State University, 20a Tatishchev St., 414056 Astrakhan, Russia)
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N.I. Lebovka
(Institute of Biocolloidal Chemistry named after F.D. Ovcharenko of the National Academy of Sciences of Ukraine, 42 Academician Vernadsky Boulevard, 03142 Kiev, Ukraine)
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This work studies the jamming and percolation of parallel squares in a single-cluster growth model. The Leath-Alexandrowicz method was used to grow a cluster from an active seed site. The sites of a square lattice were occupied by addition of the equal size k x k squares (E-problem) or a mixture of k x k and m x m (m ≤ k) squares (M-problem). The larger k x k squares were assumed to be active (conductive) and the smaller m x m squares were assumed to be blocked (non-conductive). For equal size k x k squares (E-problem) the value of pj = 0.638 ± 0.001 was obtained for the jamming concentration in the limit of k →∞. This value was noticeably larger than that previously reported for a random sequential adsorption model, pj = 0.564 ± 0.002. It was observed that the value of percolation threshold pc (i.e., the ratio of the area of active k x k squares and the total area of k x k squares in the percolation point) increased with an increase of k. For mixture of k x k and m x m squares (M-problem), the value of pc noticeably increased with an increase of k at a fixed value of m and approached 1 at k ≥ 10 m. This reflects that percolation of larger active squares in M-problem can be effectively suppressed in the presence of smaller blocked squares.
Key words:
jamming, percolation, squares, disordered systems, Monte Carlo methods, Leath-Alexandrowicz method
PACS:
02.70.Uu, 05.65.+b, 36.40.Mr, 61.46.Bc, 64.60.ah
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