Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm

Autores
Ferreyra, María Victoria; Giordano, Gaston Luciano; Borzi, Rodolfo Alberto; Betouras, Joseph J.; Grigera, Santiago Andrés
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this article we study the classical nearest-neighbour spin-ice model (nnSI) by means of Monte Carlo simulations, using the Wang-Landau algorithm. The nnSI describes several of the salient features ofthe spin-ice materials. Despite its simplicity it exhibits a remarkably rich behaviour. The model has been studied using a variety of techniques, thus it serves as an ideal benchmark to test the capabilities of theWang Landau algorithm in magnetically frustrated systems. We study in detail the residual entropy of the nnSI and, by introducing an applied magnetic field in two different crystallographic directions ([111] and[100]), we explore the physics of the kagome-ice phase, the transition to full polarisation, and the three dimensional Kasteleyn transition. In the latter case, we discuss how additional constraints can be added to the Hamiltonian, by taking into account a selective choice of states in the partition function and, then, show how this choice leads to the realization of the ideal Kasteleyn transition in the system.
Fil: Ferreyra, María Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Giordano, Gaston Luciano. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentina
Fil: Borzi, Rodolfo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
Fil: Betouras, Joseph J.. University Of Loughborough; Reino Unido
Fil: Grigera, Santiago Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. University of St. Andrews; Reino Unido
Materia
Solid State And Materials
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:11336/48055
Acceder
id CONICETDig_917935c7d1f22b0267ed986efa49b939
oai_identifier_str oai:ri.conicet.gov.ar:11336/48055
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithmFerreyra, María VictoriaGiordano, Gaston LucianoBorzi, Rodolfo AlbertoBetouras, Joseph J.Grigera, Santiago AndrésSolid State And Materialshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1In this article we study the classical nearest-neighbour spin-ice model (nnSI) by means of Monte Carlo simulations, using the Wang-Landau algorithm. The nnSI describes several of the salient features ofthe spin-ice materials. Despite its simplicity it exhibits a remarkably rich behaviour. The model has been studied using a variety of techniques, thus it serves as an ideal benchmark to test the capabilities of theWang Landau algorithm in magnetically frustrated systems. We study in detail the residual entropy of the nnSI and, by introducing an applied magnetic field in two different crystallographic directions ([111] and[100]), we explore the physics of the kagome-ice phase, the transition to full polarisation, and the three dimensional Kasteleyn transition. In the latter case, we discuss how additional constraints can be added to the Hamiltonian, by taking into account a selective choice of states in the partition function and, then, show how this choice leads to the realization of the ideal Kasteleyn transition in the system.Fil: Ferreyra, María Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Giordano, Gaston Luciano. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; ArgentinaFil: Borzi, Rodolfo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; ArgentinaFil: Betouras, Joseph J.. University Of Loughborough; Reino UnidoFil: Grigera, Santiago Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. University of St. Andrews; Reino UnidoSpringer2016-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/48055Ferreyra, María Victoria; Giordano, Gaston Luciano; Borzi, Rodolfo Alberto; Betouras, Joseph J.; Grigera, Santiago Andrés; Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm; Springer; European Physical Journal B - Condensed Matter; 89; 2; 2-2016; 1-91434-6028CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1140/epjb/e2016-60781-7info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1140%2Fepjb%2Fe2016-60781-7info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:45:43Zoai:ri.conicet.gov.ar:11336/48055instacron: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 09:45:43.586CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm
title Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm
spellingShingle Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm
Ferreyra, María Victoria
Solid State And Materials
title_short Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm
title_full Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm
title_fullStr Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm
title_full_unstemmed Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm
title_sort Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm
dc.creator.none.fl_str_mv Ferreyra, María Victoria
Giordano, Gaston Luciano
Borzi, Rodolfo Alberto
Betouras, Joseph J.
Grigera, Santiago Andrés
author Ferreyra, María Victoria
author_facet Ferreyra, María Victoria
Giordano, Gaston Luciano
Borzi, Rodolfo Alberto
Betouras, Joseph J.
Grigera, Santiago Andrés
author_role author
author2 Giordano, Gaston Luciano
Borzi, Rodolfo Alberto
Betouras, Joseph J.
Grigera, Santiago Andrés
author2_role author
author
author
author
dc.subject.none.fl_str_mv Solid State And Materials
topic Solid State And Materials
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this article we study the classical nearest-neighbour spin-ice model (nnSI) by means of Monte Carlo simulations, using the Wang-Landau algorithm. The nnSI describes several of the salient features ofthe spin-ice materials. Despite its simplicity it exhibits a remarkably rich behaviour. The model has been studied using a variety of techniques, thus it serves as an ideal benchmark to test the capabilities of theWang Landau algorithm in magnetically frustrated systems. We study in detail the residual entropy of the nnSI and, by introducing an applied magnetic field in two different crystallographic directions ([111] and[100]), we explore the physics of the kagome-ice phase, the transition to full polarisation, and the three dimensional Kasteleyn transition. In the latter case, we discuss how additional constraints can be added to the Hamiltonian, by taking into account a selective choice of states in the partition function and, then, show how this choice leads to the realization of the ideal Kasteleyn transition in the system.
Fil: Ferreyra, María Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Giordano, Gaston Luciano. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentina
Fil: Borzi, Rodolfo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
Fil: Betouras, Joseph J.. University Of Loughborough; Reino Unido
Fil: Grigera, Santiago Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. University of St. Andrews; Reino Unido
description In this article we study the classical nearest-neighbour spin-ice model (nnSI) by means of Monte Carlo simulations, using the Wang-Landau algorithm. The nnSI describes several of the salient features ofthe spin-ice materials. Despite its simplicity it exhibits a remarkably rich behaviour. The model has been studied using a variety of techniques, thus it serves as an ideal benchmark to test the capabilities of theWang Landau algorithm in magnetically frustrated systems. We study in detail the residual entropy of the nnSI and, by introducing an applied magnetic field in two different crystallographic directions ([111] and[100]), we explore the physics of the kagome-ice phase, the transition to full polarisation, and the three dimensional Kasteleyn transition. In the latter case, we discuss how additional constraints can be added to the Hamiltonian, by taking into account a selective choice of states in the partition function and, then, show how this choice leads to the realization of the ideal Kasteleyn transition in the system.
publishDate 2016
dc.date.none.fl_str_mv 2016-02
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/11336/48055
Ferreyra, María Victoria; Giordano, Gaston Luciano; Borzi, Rodolfo Alberto; Betouras, Joseph J.; Grigera, Santiago Andrés; Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm; Springer; European Physical Journal B - Condensed Matter; 89; 2; 2-2016; 1-9
1434-6028
CONICET Digital
CONICET
url http://hdl.handle.net/11336/48055
identifier_str_mv Ferreyra, María Victoria; Giordano, Gaston Luciano; Borzi, Rodolfo Alberto; Betouras, Joseph J.; Grigera, Santiago Andrés; Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm; Springer; European Physical Journal B - Condensed Matter; 89; 2; 2-2016; 1-9
1434-6028
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1140/epjb/e2016-60781-7
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1140%2Fepjb%2Fe2016-60781-7
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
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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_ 1842268748281544704
score 13.13397

Publicaciones similares