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Crossover scaling in the dynamics of driven systems
Author(s) -
Hong Guo,
Bruno Grossmann,
Martin Grant
Publication year - 1990
Publication title -
physical review a
Language(s) - English
Resource type - Journals
eISSN - 1094-1622
pISSN - 1050-2947
DOI - 10.1103/physreva.41.7082
Subject(s) - crossover , physics , scaling , ansatz , statistical physics , monte carlo method , dynamic scaling , mathematical physics , mathematics , statistics , geometry , artificial intelligence , computer science
We study growing interfaces in two- and three-dimensional systems by the numerical integration of the Kardar-Parisi-Zhang equation and the Monte Carlo simulation of a solid-on-solid model with asymmetric rates of evaporation and condensation. A crossover scaling ansatz is proposed, which we find accounts for the dependence of growth on the driving force, as we crossover from the dynamic roughening regime, where that force is identically zero, to driven growth, where a nonzero driving force is present. We thus estimate the crossover scaling exponents, as well as the scaling functions

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