Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise

Autores
Alés, Alejandro; López, Juan M.
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We investigate Kardar-Parisi-Zhang (KPZ) surface growth in the presence of power-law temporally correlated noise. By means of extensive numerical simulations of models in the KPZ universality class we find that, as the noise correlator index increases above some threshold value, the surface exhibits anomalous kinetic roughening of the type described by the generic scaling theory of Ramasco et al. [Phys. Rev. Lett. 84, 2199 (2000)]. Remarkably, as the driving noise temporal correlations increase, the surface develops a characteristic pattern of macroscopic facets that completely dominates the dynamics in the long time limit. We argue that standard scaling fails to capture the behavior of KPZ subject to long-range temporally correlated noise. These phenomena are not not described by the existing theoretical approaches, including renormalization group and self-consistent approaches.
Fil: Alés, Alejandro. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Física de Materiales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Fil: López, Juan M.. Instituto de Física de Cantabria; España
Materia
CRITICAL PHENOMENA
DISSIPATIVE DYNAMICS
FLUCTUATIONS & NOISE
GROWTH PROCESSES
NONEQUILIBRIUM STATISTICAL MECHANICS
STOCHASTICS PROCESSES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/120324

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network_name_str CONICET Digital (CONICET)
spelling Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noiseAlés, AlejandroLópez, Juan M.CRITICAL PHENOMENADISSIPATIVE DYNAMICSFLUCTUATIONS & NOISEGROWTH PROCESSESNONEQUILIBRIUM STATISTICAL MECHANICSSTOCHASTICS PROCESSEShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We investigate Kardar-Parisi-Zhang (KPZ) surface growth in the presence of power-law temporally correlated noise. By means of extensive numerical simulations of models in the KPZ universality class we find that, as the noise correlator index increases above some threshold value, the surface exhibits anomalous kinetic roughening of the type described by the generic scaling theory of Ramasco et al. [Phys. Rev. Lett. 84, 2199 (2000)]. Remarkably, as the driving noise temporal correlations increase, the surface develops a characteristic pattern of macroscopic facets that completely dominates the dynamics in the long time limit. We argue that standard scaling fails to capture the behavior of KPZ subject to long-range temporally correlated noise. These phenomena are not not described by the existing theoretical approaches, including renormalization group and self-consistent approaches.Fil: Alés, Alejandro. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Física de Materiales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; ArgentinaFil: López, Juan M.. Instituto de Física de Cantabria; EspañaAmerican Physical Society2019-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/120324Alés, Alejandro; López, Juan M.; Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise; American Physical Society; Physical Review E; 99; 6; 6-2019; 1-82470-00452470-0053CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.aps.org/doi/10.1103/PhysRevE.99.062139info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.99.062139info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:02:46Zoai:ri.conicet.gov.ar:11336/120324instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:02:46.495CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise
title Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise
spellingShingle Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise
Alés, Alejandro
CRITICAL PHENOMENA
DISSIPATIVE DYNAMICS
FLUCTUATIONS & NOISE
GROWTH PROCESSES
NONEQUILIBRIUM STATISTICAL MECHANICS
STOCHASTICS PROCESSES
title_short Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise
title_full Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise
title_fullStr Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise
title_full_unstemmed Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise
title_sort Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise
dc.creator.none.fl_str_mv Alés, Alejandro
López, Juan M.
author Alés, Alejandro
author_facet Alés, Alejandro
López, Juan M.
author_role author
author2 López, Juan M.
author2_role author
dc.subject.none.fl_str_mv CRITICAL PHENOMENA
DISSIPATIVE DYNAMICS
FLUCTUATIONS & NOISE
GROWTH PROCESSES
NONEQUILIBRIUM STATISTICAL MECHANICS
STOCHASTICS PROCESSES
topic CRITICAL PHENOMENA
DISSIPATIVE DYNAMICS
FLUCTUATIONS & NOISE
GROWTH PROCESSES
NONEQUILIBRIUM STATISTICAL MECHANICS
STOCHASTICS PROCESSES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We investigate Kardar-Parisi-Zhang (KPZ) surface growth in the presence of power-law temporally correlated noise. By means of extensive numerical simulations of models in the KPZ universality class we find that, as the noise correlator index increases above some threshold value, the surface exhibits anomalous kinetic roughening of the type described by the generic scaling theory of Ramasco et al. [Phys. Rev. Lett. 84, 2199 (2000)]. Remarkably, as the driving noise temporal correlations increase, the surface develops a characteristic pattern of macroscopic facets that completely dominates the dynamics in the long time limit. We argue that standard scaling fails to capture the behavior of KPZ subject to long-range temporally correlated noise. These phenomena are not not described by the existing theoretical approaches, including renormalization group and self-consistent approaches.
Fil: Alés, Alejandro. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Física de Materiales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Fil: López, Juan M.. Instituto de Física de Cantabria; España
description We investigate Kardar-Parisi-Zhang (KPZ) surface growth in the presence of power-law temporally correlated noise. By means of extensive numerical simulations of models in the KPZ universality class we find that, as the noise correlator index increases above some threshold value, the surface exhibits anomalous kinetic roughening of the type described by the generic scaling theory of Ramasco et al. [Phys. Rev. Lett. 84, 2199 (2000)]. Remarkably, as the driving noise temporal correlations increase, the surface develops a characteristic pattern of macroscopic facets that completely dominates the dynamics in the long time limit. We argue that standard scaling fails to capture the behavior of KPZ subject to long-range temporally correlated noise. These phenomena are not not described by the existing theoretical approaches, including renormalization group and self-consistent approaches.
publishDate 2019
dc.date.none.fl_str_mv 2019-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/120324
Alés, Alejandro; López, Juan M.; Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise; American Physical Society; Physical Review E; 99; 6; 6-2019; 1-8
2470-0045
2470-0053
CONICET Digital
CONICET
url http://hdl.handle.net/11336/120324
identifier_str_mv Alés, Alejandro; López, Juan M.; Faceted patterns and anomalous surface roughening driven by long-range temporally correlated noise; American Physical Society; Physical Review E; 99; 6; 6-2019; 1-8
2470-0045
2470-0053
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://link.aps.org/doi/10.1103/PhysRevE.99.062139
info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.99.062139
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Physical Society
publisher.none.fl_str_mv American Physical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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