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

Autores
Slobinsky, Demian Gustavo; Pugnaloni, Luis Ariel
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 Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería Mecánica; Argentina
Fil: Pugnaloni, Luis Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería Mecánica; Argentina
Materia
GRANULAR PHYSICS
STATISTICS PHYSICS
ENTROPY
ARCHES
PACKINGS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/78161
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Wang-Landau algorithm for entropic sampling of arch-based microstates in the volume ensemble of static granular packingsSlobinsky, Demian GustavoPugnaloni, Luis ArielGRANULAR PHYSICSSTATISTICS PHYSICSENTROPYARCHESPACKINGShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We 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 Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería Mecánica; ArgentinaFil: Pugnaloni, Luis Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería Mecánica; ArgentinaInstituto de Física de Líquidos y Sistemas Biológicos2015-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/78161Slobinsky, Demian Gustavo; Pugnaloni, Luis Ariel; Wang-Landau algorithm for entropic sampling of arch-based microstates in the volume ensemble of static granular packings; Instituto de Física de Líquidos y Sistemas Biológicos; Papers in Physics; 7; 1; 3-2015; 1-91852-4249CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.papersinphysics.org/index.php/papersinphysics/article/view/239info:eu-repo/semantics/altIdentifier/doi/10.4279/PIP.070001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:11:26Zoai:ri.conicet.gov.ar:11336/78161instacron: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:34982025-09-03 10:11:26.636CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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 Gustavo
GRANULAR PHYSICS
STATISTICS PHYSICS
ENTROPY
ARCHES
PACKINGS
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 Gustavo
Pugnaloni, Luis Ariel
author Slobinsky, Demian Gustavo
author_facet Slobinsky, Demian Gustavo
Pugnaloni, Luis Ariel
author_role author
author2 Pugnaloni, Luis Ariel
author2_role author
dc.subject.none.fl_str_mv GRANULAR PHYSICS
STATISTICS PHYSICS
ENTROPY
ARCHES
PACKINGS
topic GRANULAR PHYSICS
STATISTICS PHYSICS
ENTROPY
ARCHES
PACKINGS
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 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 Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería Mecánica; Argentina
Fil: Pugnaloni, Luis Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería Mecánica; Argentina
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 2015-03
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/11336/78161
Slobinsky, Demian Gustavo; Pugnaloni, Luis Ariel; Wang-Landau algorithm for entropic sampling of arch-based microstates in the volume ensemble of static granular packings; Instituto de Física de Líquidos y Sistemas Biológicos; Papers in Physics; 7; 1; 3-2015; 1-9
1852-4249
CONICET Digital
CONICET
url http://hdl.handle.net/11336/78161
identifier_str_mv Slobinsky, Demian Gustavo; Pugnaloni, Luis Ariel; Wang-Landau algorithm for entropic sampling of arch-based microstates in the volume ensemble of static granular packings; Instituto de Física de Líquidos y Sistemas Biológicos; Papers in Physics; 7; 1; 3-2015; 1-9
1852-4249
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://www.papersinphysics.org/index.php/papersinphysics/article/view/239
info:eu-repo/semantics/altIdentifier/doi/10.4279/PIP.070001
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Instituto de Física de Líquidos y Sistemas Biológicos
publisher.none.fl_str_mv Instituto de Física de Líquidos y Sistemas Biológicos
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
_version_ 1842270157966147584
score 13.13397

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