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Efficient Structural Relaxation of Polycrystalline Graphene Models

Large samples of experimentally produced graphene are polycrystalline. For the study of this material, it helps to have realistic computer samples that are also polycrystalline. A common approach to produce such samples in computer simulations is based on the method of Wooten, Winer, and Weaire, ori...

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Autores principales: D’Ambrosio, Federico, Barkema, Joris, Barkema, Gerard T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151425/
https://www.ncbi.nlm.nih.gov/pubmed/34066793
http://dx.doi.org/10.3390/nano11051242
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author D’Ambrosio, Federico
Barkema, Joris
Barkema, Gerard T.
author_facet D’Ambrosio, Federico
Barkema, Joris
Barkema, Gerard T.
author_sort D’Ambrosio, Federico
collection PubMed
description Large samples of experimentally produced graphene are polycrystalline. For the study of this material, it helps to have realistic computer samples that are also polycrystalline. A common approach to produce such samples in computer simulations is based on the method of Wooten, Winer, and Weaire, originally introduced for the simulation of amorphous silicon. We introduce an early rejection variation of their method, applied to graphene, which exploits the local nature of the structural changes to achieve a significant speed-up in the relaxation of the material, without compromising the dynamics. We test it on a 3200 atoms sample, obtaining a speed-up between one and two orders of magnitude. We also introduce a further variation called early decision specifically for relaxing large samples even faster, and we test it on two samples of 10,024 and 20,000 atoms, obtaining a further speed-up of an order of magnitude. Furthermore, we provide a graphical manipulation tool to remove unwanted artifacts in a sample, such as bond crossings.
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spelling pubmed-81514252021-05-27 Efficient Structural Relaxation of Polycrystalline Graphene Models D’Ambrosio, Federico Barkema, Joris Barkema, Gerard T. Nanomaterials (Basel) Article Large samples of experimentally produced graphene are polycrystalline. For the study of this material, it helps to have realistic computer samples that are also polycrystalline. A common approach to produce such samples in computer simulations is based on the method of Wooten, Winer, and Weaire, originally introduced for the simulation of amorphous silicon. We introduce an early rejection variation of their method, applied to graphene, which exploits the local nature of the structural changes to achieve a significant speed-up in the relaxation of the material, without compromising the dynamics. We test it on a 3200 atoms sample, obtaining a speed-up between one and two orders of magnitude. We also introduce a further variation called early decision specifically for relaxing large samples even faster, and we test it on two samples of 10,024 and 20,000 atoms, obtaining a further speed-up of an order of magnitude. Furthermore, we provide a graphical manipulation tool to remove unwanted artifacts in a sample, such as bond crossings. MDPI 2021-05-08 /pmc/articles/PMC8151425/ /pubmed/34066793 http://dx.doi.org/10.3390/nano11051242 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
D’Ambrosio, Federico
Barkema, Joris
Barkema, Gerard T.
Efficient Structural Relaxation of Polycrystalline Graphene Models
title Efficient Structural Relaxation of Polycrystalline Graphene Models
title_full Efficient Structural Relaxation of Polycrystalline Graphene Models
title_fullStr Efficient Structural Relaxation of Polycrystalline Graphene Models
title_full_unstemmed Efficient Structural Relaxation of Polycrystalline Graphene Models
title_short Efficient Structural Relaxation of Polycrystalline Graphene Models
title_sort efficient structural relaxation of polycrystalline graphene models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151425/
https://www.ncbi.nlm.nih.gov/pubmed/34066793
http://dx.doi.org/10.3390/nano11051242
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