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Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packings
dc.creator | Slobinsky, Demian | |
dc.creator | Pugnaloni, Luis | |
dc.date.accessioned | 2018-05-02T21:31:30Z | |
dc.date.available | 2018-05-02T21:31:30Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12272/2799 | |
dc.description.abstract | 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. | es_ES |
dc.format | application/pdf | |
dc.language.iso | eng | es_ES |
dc.publisher | Papers in Physics | es_ES |
dc.relation | http://www.papersinphysics.org/papersinphysics/article/view/239 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Granular physics, Packings, Statistical physics, Entropy | es_ES |
dc.title | Wang Landau algorithm for entropic sampling of arch based microstates in the volume ensemble of static granular packings | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.affiliation | Fil: Slobinsky, Demian. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica. GMG. CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas); Argentina | es_ES |
dc.description.affiliation | Fil: Pugnaloni, Luis. UTN (Universidad Tecnológica Nacional). Departamento de Ingeniería Mecánica. GMG. CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas); Argentina | es_ES |
dc.description.peerreviewed | Peer Reviewed | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.type.snrd | info:ar-repo/semantics/artículo | es_ES |
dc.rights.use | 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.). | es_ES |
dc.identifier.doi | 10.4279/PIP.070001 |