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From Atomic Level to Large-Scale Monte Carlo Magnetic Simulations

This paper refers to Monte Carlo magnetic simulations for large-scale systems. We propose scaling rules to facilitate analysis of mesoscopic objects using a relatively small amount of system nodes. In our model, each node represents a volume defined by an enlargement factor. As a consequence of this...

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Detalles Bibliográficos
Autores principales: Chrobak, Artur, Ziółkowski, Grzegorz, Chrobak, Dariusz, Chełkowska, Grażyna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503833/
https://www.ncbi.nlm.nih.gov/pubmed/32825650
http://dx.doi.org/10.3390/ma13173696
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author Chrobak, Artur
Ziółkowski, Grzegorz
Chrobak, Dariusz
Chełkowska, Grażyna
author_facet Chrobak, Artur
Ziółkowski, Grzegorz
Chrobak, Dariusz
Chełkowska, Grażyna
author_sort Chrobak, Artur
collection PubMed
description This paper refers to Monte Carlo magnetic simulations for large-scale systems. We propose scaling rules to facilitate analysis of mesoscopic objects using a relatively small amount of system nodes. In our model, each node represents a volume defined by an enlargement factor. As a consequence of this approach, the parameters describing magnetic interactions on the atomic level should also be re-scaled, taking into account the detailed thermodynamic balance as well as energetic equivalence between the real and re-scaled systems. Accuracy and efficiency of the model have been depicted through analysis of the size effects of magnetic moment configuration for various characteristic objects. As shown, the proposed scaling rules, applied to the disorder-based cluster Monte Carlo algorithm, can be considered suitable tools for designing new magnetic materials and a way to include low-level or first principle calculations in finite element Monte Carlo magnetic simulations.
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spelling pubmed-75038332020-09-27 From Atomic Level to Large-Scale Monte Carlo Magnetic Simulations Chrobak, Artur Ziółkowski, Grzegorz Chrobak, Dariusz Chełkowska, Grażyna Materials (Basel) Article This paper refers to Monte Carlo magnetic simulations for large-scale systems. We propose scaling rules to facilitate analysis of mesoscopic objects using a relatively small amount of system nodes. In our model, each node represents a volume defined by an enlargement factor. As a consequence of this approach, the parameters describing magnetic interactions on the atomic level should also be re-scaled, taking into account the detailed thermodynamic balance as well as energetic equivalence between the real and re-scaled systems. Accuracy and efficiency of the model have been depicted through analysis of the size effects of magnetic moment configuration for various characteristic objects. As shown, the proposed scaling rules, applied to the disorder-based cluster Monte Carlo algorithm, can be considered suitable tools for designing new magnetic materials and a way to include low-level or first principle calculations in finite element Monte Carlo magnetic simulations. MDPI 2020-08-21 /pmc/articles/PMC7503833/ /pubmed/32825650 http://dx.doi.org/10.3390/ma13173696 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chrobak, Artur
Ziółkowski, Grzegorz
Chrobak, Dariusz
Chełkowska, Grażyna
From Atomic Level to Large-Scale Monte Carlo Magnetic Simulations
title From Atomic Level to Large-Scale Monte Carlo Magnetic Simulations
title_full From Atomic Level to Large-Scale Monte Carlo Magnetic Simulations
title_fullStr From Atomic Level to Large-Scale Monte Carlo Magnetic Simulations
title_full_unstemmed From Atomic Level to Large-Scale Monte Carlo Magnetic Simulations
title_short From Atomic Level to Large-Scale Monte Carlo Magnetic Simulations
title_sort from atomic level to large-scale monte carlo magnetic simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503833/
https://www.ncbi.nlm.nih.gov/pubmed/32825650
http://dx.doi.org/10.3390/ma13173696
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