Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packings

Autores
Slobinsky, Demian; Pugnaloni, Luis
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We implement the Wang-Landau algorithm to sample with equal probabilities the static configurations of a model granular system. The "non-interacting rigid arch model" used is based on the description of static configurations by means of splitting the assembly of grains into sets of stable arches. This technique allows us to build the entropy as a function of the volume of the packing for large systems. We make a special note of the details that have to be considered when defining the microstates and proposing the moves for the correct sampling in these unusual models. We compare our results with previous exact calculations of the model made at moderate system sizes. The technique opens a new opportunity to calculate the entropy of more complex granular models.
Fil: Slobinsky, Demian. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica. GMG. CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas); Argentina
Fil: Pugnaloni, Luis. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica. GMG. CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas); Argentina
Peer Reviewed
Materia
Granular physics, Packings, Statistical physics, Entropy
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Atribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.).
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/2799
Acceder
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packingsSlobinsky, DemianPugnaloni, LuisGranular physics, Packings, Statistical physics, EntropyWe implement the Wang-Landau algorithm to sample with equal probabilities the static configurations of a model granular system. The "non-interacting rigid arch model" used is based on the description of static configurations by means of splitting the assembly of grains into sets of stable arches. This technique allows us to build the entropy as a function of the volume of the packing for large systems. We make a special note of the details that have to be considered when defining the microstates and proposing the moves for the correct sampling in these unusual models. We compare our results with previous exact calculations of the model made at moderate system sizes. The technique opens a new opportunity to calculate the entropy of more complex granular models.Fil: Slobinsky, Demian. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica. GMG. CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas); ArgentinaFil: Pugnaloni, Luis. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica. GMG. CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas); ArgentinaPeer ReviewedPapers in Physics2018-05-02T21:31:30Z2018-05-02T21:31:30Z2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/20.500.12272/279910.4279/PIP.070001enghttp://www.papersinphysics.org/papersinphysics/article/view/239info:eu-repo/semantics/openAccessAtribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.).reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2025-09-29T14:29:34Zoai:ria.utn.edu.ar:20.500.12272/2799instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2025-09-29 14:29:34.56Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packings
title Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packings
spellingShingle Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packings
Slobinsky, Demian
Granular physics, Packings, Statistical physics, Entropy
title_short Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packings
title_full Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packings
title_fullStr Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packings
title_full_unstemmed Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packings
title_sort Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packings
dc.creator.none.fl_str_mv Slobinsky, Demian
Pugnaloni, Luis
author Slobinsky, Demian
author_facet Slobinsky, Demian
Pugnaloni, Luis
author_role author
author2 Pugnaloni, Luis
author2_role author
dc.subject.none.fl_str_mv Granular physics, Packings, Statistical physics, Entropy
topic Granular physics, Packings, Statistical physics, Entropy
dc.description.none.fl_txt_mv We implement the Wang-Landau algorithm to sample with equal probabilities the static configurations of a model granular system. The "non-interacting rigid arch model" used is based on the description of static configurations by means of splitting the assembly of grains into sets of stable arches. This technique allows us to build the entropy as a function of the volume of the packing for large systems. We make a special note of the details that have to be considered when defining the microstates and proposing the moves for the correct sampling in these unusual models. We compare our results with previous exact calculations of the model made at moderate system sizes. The technique opens a new opportunity to calculate the entropy of more complex granular models.
Fil: Slobinsky, Demian. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica. GMG. CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas); Argentina
Fil: Pugnaloni, Luis. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica. GMG. CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas); Argentina
Peer Reviewed
description We implement the Wang-Landau algorithm to sample with equal probabilities the static configurations of a model granular system. The "non-interacting rigid arch model" used is based on the description of static configurations by means of splitting the assembly of grains into sets of stable arches. This technique allows us to build the entropy as a function of the volume of the packing for large systems. We make a special note of the details that have to be considered when defining the microstates and proposing the moves for the correct sampling in these unusual models. We compare our results with previous exact calculations of the model made at moderate system sizes. The technique opens a new opportunity to calculate the entropy of more complex granular models.
publishDate 2015
dc.date.none.fl_str_mv 2015
2018-05-02T21:31:30Z
2018-05-02T21:31:30Z
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/20.500.12272/2799
10.4279/PIP.070001
url http://hdl.handle.net/20.500.12272/2799
identifier_str_mv 10.4279/PIP.070001
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.papersinphysics.org/papersinphysics/article/view/239
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Atribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.).
eu_rights_str_mv openAccess
rights_invalid_str_mv Atribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.).
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Papers in Physics
publisher.none.fl_str_mv Papers in Physics
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 12.559606

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