Artículo
Autoría
Fecha
2025
Editorial y Lugar de Edición
ELSEVIER SCIENCE BV
Revista
PHYSICA A - STATISTICAL AND THEORETICAL PHYSICS,
vol. 668
(pp. 1-13)
- ISSN 0378-4371
ELSEVIER SCIENCE BV
ELSEVIER SCIENCE BV
ISSN
0378-4371
Resumen
Información suministrada por el agente en
SIGEVA
Simulations using the Monte Carlo method were performed with Kawasaki dynamics at atemperature of 300 K, evaluating the percolation threshold (the fraction of occupied sitesnecessary for the system to percolate). Three different percolation criteria were considered:?? ?? (percolation in at least one of the x, y, or z directions), ?? ?? (simultaneous percolation in allthree directions), and ?? ?? (average of the percolation probabilities in each direction). The resultsshow how the percolation th...
Simulations using the Monte Carlo method were performed with Kawasaki dynamics at atemperature of 300 K, evaluating the percolation threshold (the fraction of occupied sitesnecessary for the system to percolate). Three different percolation criteria were considered:?? ?? (percolation in at least one of the x, y, or z directions), ?? ?? (simultaneous percolation in allthree directions), and ?? ?? (average of the percolation probabilities in each direction). The resultsshow how the percolation threshold varies with the interaction between particles (representedby the parameter ?? ). It was observed that repulsive interactions (?? > 0) increase the percolationthreshold, while attractive interactions (?? < 0) reduce it. For large values of ?? , the percolationthreshold curves stabilize at certain limits.
Ver más
Ver menos
Palabras Clave
EQUILIBRIUM SYSTEMSCRITICAL EXPONENTSPHASE TRANSITIONSPERCOLATION THRESHOLDS
Descargue o solicite el texto completo