Artículo
Site-bond percolation on triangular lattices: Monte Carlo simulation and analytical approach
Gonzalez Flores, Mariela Isabel; Centres, Paulo Marcelo
; Lebrecht, W.; Ramirez Pastor, Antonio Jose
; Nieto Quintas, Felix Daniel
Fecha de publicación:
12/2013
Editorial:
Elsevier
Revista:
Physica A: Statistical Mechanics and its Applications
ISSN:
0378-4371
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
A generalization of the pure site and pure bond percolation problems called site–bond percolation on a triangular lattice is studied. Motivated by considerations of cluster connectivity, two distinct schemes (denoted as S∩B and S∪B) for site–bond percolation are used. In S∩B (S∪B), two points are said to be connected if a sequence of occupied sites and (or ) bonds joins them. By using finite-size scaling theory, data from S∩B and S∪B are analyzed in order to determine (i) the phase boundary between the percolating and non-percolating regions and (ii) the numerical values of the critical exponents of the phase transition occurring in the system. A theoretical approach, based on exact calculations of configurations on finite triangular cells, is applied to study the site–bond percolation on triangular lattices. The percolation processes have been monitored by following the percolation function, defined as the ratio between the number of percolating configurations and the total number of available configurations for a given cell size and concentration of occupied elements. A comparison of the results obtained by these two methods has been performed and discussed.
Palabras clave:
Percolation
,
Phase Transition
,
Monte Carlo Simulation
,
Phase Diagrams
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Articulos(INFAP)
Articulos de INST. DE FISICA APLICADA "DR. JORGE ANDRES ZGRABLICH"
Articulos de INST. DE FISICA APLICADA "DR. JORGE ANDRES ZGRABLICH"
Citación
Gonzalez Flores, Mariela Isabel; Centres, Paulo Marcelo; Lebrecht, W.; Ramirez Pastor, Antonio Jose; Nieto Quintas, Felix Daniel; Site-bond percolation on triangular lattices: Monte Carlo simulation and analytical approach; Elsevier; Physica A: Statistical Mechanics and its Applications; 392; 24; 12-2013; 6330-6340
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