Phase transitions in a probabilistic cellular automaton: Growth kinetics and critical properties

F. J. Alexander, I. Edrei, P. L. Garrido, J. L. Lebowitz

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Abstract

We investigate a discrete-time kinetic model without detailed balance which simulates the phase segregation of a quenched binary alloy. The model is a variation on the Rothman-Keller cellular automaton in which particles of type A (B) move toward domains of greater concentration of A (B). Modifications include a fully occupied lattice and the introduction of a temperature-like parameter which endows the system with a stochastic evolution. Using computer simulations, we examine domain growth kinetics in the two-dimensional model. For long times after a quench from disorder, we find that the average domain size R(t) ∼ t1/3, in agreement with the prediction of Lifshitz-Slyozov-Wagner theory. Using a variety of methods, we analyze the critical properties of the associated second-order transition. Our analysis indicates that this model does not fall within either the Ising or mean-field classes.

Original languageEnglish (US)
Pages (from-to)497-514
Number of pages18
JournalJournal of Statistical Physics
Volume68
Issue number3-4
DOIs
StatePublished - Aug 1992

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Mathematical Physics

Keywords

  • Probabilistic cellular automaton
  • critical phenomena
  • domain growth kinetics

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