dc.creatorMartins, Marcelo Lobato
dc.creatorSales, J. A. de
dc.creatorMoreira, J. G.
dc.date2018-11-30T16:48:30Z
dc.date2018-11-30T16:48:30Z
dc.date1999-02-12
dc.date.accessioned2023-09-27T21:34:35Z
dc.date.available2023-09-27T21:34:35Z
dc.identifier1751-8121
dc.identifierhttps://doi.org/10.1088/0305-4470/32/6/003
dc.identifierhttp://www.locus.ufv.br/handle/123456789/22667
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8962888
dc.descriptionWe propose a method to detect phase transitions in discrete lattice models based on the roughness exponent. This approach is applied to the one-dimensional Domany-Kinzel cellular automaton (CA). Our results, obtained by numerical simulations, show that the roughness exponent method detects the frozen-active phase transition directly from the CA spatio-temporal configurations without any reference to thermodynamical potentials, order parameters or response functions.
dc.formatpdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherJournal of Physics A: Mathematical and General
dc.relationVolume 32, Number 6, Pages 885–890, February 1999
dc.rights1999 IOP Publishing Ltd
dc.subjectDomany-Kinzel
dc.subjectCellular automaton
dc.subjectRoughness exponent
dc.titleRoughness exponent in the Domany-Kinzel cellular automaton
dc.typeArtigo


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