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Scott R. Anderson and Fereydoon Family
Show Abstract
Interactions are included in the standard model of site percolation by specifying two numbers, p0 and p1, which are the probabilities of occupying a site on a lattice if none or at least one of the neighboring sites are occupied, respectively. This is expected to be a better description of systems where interactions between neighbors can either enhance or deter site occupation. Monte Carlo methods are used to simulate the irreversible growth of clusters starting from an empty two-dimensional square lattice, and continuing through the percolation threshold. The value of the percolation threshold pc and other properties of the system depend on the parameter r=p1/p0. For r=1, the system corresponds to random percolation. As r→∞, compact Eden clusters are produced, which link together to form larger, fractal clusters. As r→0, neighboring sites become less easily occupied, resulting in checked ‘‘domains’’ separated by antiphase boundaries. Several quantities are analyzed to determine the critical exponents ν, γ, and β, including the threshold distribution width, the mean cluster size, and the infinite cluster size. For all finite values of r, the data are found to be consistent with the exponents of random percolation.
Phys. Rev. A 38, 4198 (1988)
Cited 14 times
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Scott R. Anderson
Show Abstract
The nonequilibrium and equilibrium behavior of the two-dimensional Ising model are studied after rapid cooling in a random field. Extensive Monte Carlo simulations are presented, covering a wide range of temperature and random-field strength. Quantitative comparison is made with several recent theories of domain growth and equilibration. In particular, strong support is given to the Villain-Grinstein-Fernandez theory of logarithmic growth.
Phys. Rev. B 36, 8435 (1987)
Cited 19 times
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3.
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Scott R. Anderson and Gene F. Mazenko
Show Abstract
The growth kinetics of the random-field Ising model cooled to zero temperature is studied for the cases of fast cooling in a field and slow cooling preceding introduction of a field. Rapid freezing allows the use of Monte Carlo methods to make a detailed comparison and to determine the favored state. Qualitative similarities to experimental studies of site-diluted antiferromagnets are described.
Phys. Rev. B 33, 2007 (1986)
Cited 9 times
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