Simu-D: A Simulator-Descriptor Suite for Polymer-Based Systems under Extreme Conditions

We present Simu-D, a software suite for the simulation and successive identification of local structures of atomistic systems, based on polymers, under extreme conditions, in the bulk, on surfaces, and at interfaces. The protocol is built around various types of Monte Carlo algorithms, which include...

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Autores principales: Miguel Herranz, Daniel Martínez-Fernández, Pablo Miguel Ramos, Katerina Foteinopoulou, Nikos Ch. Karayiannis, Manuel Laso
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/fabaa2b3f9fe44abbd0b1023c8138d28
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spelling oai:doaj.org-article:fabaa2b3f9fe44abbd0b1023c8138d282021-11-25T17:56:54ZSimu-D: A Simulator-Descriptor Suite for Polymer-Based Systems under Extreme Conditions10.3390/ijms2222124641422-00671661-6596https://doaj.org/article/fabaa2b3f9fe44abbd0b1023c8138d282021-11-01T00:00:00Zhttps://www.mdpi.com/1422-0067/22/22/12464https://doaj.org/toc/1661-6596https://doaj.org/toc/1422-0067We present Simu-D, a software suite for the simulation and successive identification of local structures of atomistic systems, based on polymers, under extreme conditions, in the bulk, on surfaces, and at interfaces. The protocol is built around various types of Monte Carlo algorithms, which include localized, chain-connectivity-altering, identity-exchange, and cluster-based moves. The approach focuses on alleviating one of the main disadvantages of Monte Carlo algorithms, which is the general applicability under a wide range of conditions. Present applications include polymer-based nanocomposites with nanofillers in the form of cylinders and spheres of varied concentration and size, extremely confined and maximally packed assemblies in two and three dimensions, and terminally grafted macromolecules. The main simulator is accompanied by a descriptor that identifies the similarity of computer-generated configurations with respect to reference crystals in two or three dimensions. The Simu-D simulator-descriptor can be an especially useful tool in the modeling studies of the entropy- and energy-driven phase transition, adsorption, and self-organization of polymer-based systems under a variety of conditions.Miguel HerranzDaniel Martínez-FernándezPablo Miguel RamosKaterina FoteinopoulouNikos Ch. KarayiannisManuel LasoMDPI AGarticleMonte Carloatomistic simulationmolecular simulationhard sphereextreme conditionsconfinementBiology (General)QH301-705.5ChemistryQD1-999ENInternational Journal of Molecular Sciences, Vol 22, Iss 12464, p 12464 (2021)
institution DOAJ
collection DOAJ
language EN
topic Monte Carlo
atomistic simulation
molecular simulation
hard sphere
extreme conditions
confinement
Biology (General)
QH301-705.5
Chemistry
QD1-999
spellingShingle Monte Carlo
atomistic simulation
molecular simulation
hard sphere
extreme conditions
confinement
Biology (General)
QH301-705.5
Chemistry
QD1-999
Miguel Herranz
Daniel Martínez-Fernández
Pablo Miguel Ramos
Katerina Foteinopoulou
Nikos Ch. Karayiannis
Manuel Laso
Simu-D: A Simulator-Descriptor Suite for Polymer-Based Systems under Extreme Conditions
description We present Simu-D, a software suite for the simulation and successive identification of local structures of atomistic systems, based on polymers, under extreme conditions, in the bulk, on surfaces, and at interfaces. The protocol is built around various types of Monte Carlo algorithms, which include localized, chain-connectivity-altering, identity-exchange, and cluster-based moves. The approach focuses on alleviating one of the main disadvantages of Monte Carlo algorithms, which is the general applicability under a wide range of conditions. Present applications include polymer-based nanocomposites with nanofillers in the form of cylinders and spheres of varied concentration and size, extremely confined and maximally packed assemblies in two and three dimensions, and terminally grafted macromolecules. The main simulator is accompanied by a descriptor that identifies the similarity of computer-generated configurations with respect to reference crystals in two or three dimensions. The Simu-D simulator-descriptor can be an especially useful tool in the modeling studies of the entropy- and energy-driven phase transition, adsorption, and self-organization of polymer-based systems under a variety of conditions.
format article
author Miguel Herranz
Daniel Martínez-Fernández
Pablo Miguel Ramos
Katerina Foteinopoulou
Nikos Ch. Karayiannis
Manuel Laso
author_facet Miguel Herranz
Daniel Martínez-Fernández
Pablo Miguel Ramos
Katerina Foteinopoulou
Nikos Ch. Karayiannis
Manuel Laso
author_sort Miguel Herranz
title Simu-D: A Simulator-Descriptor Suite for Polymer-Based Systems under Extreme Conditions
title_short Simu-D: A Simulator-Descriptor Suite for Polymer-Based Systems under Extreme Conditions
title_full Simu-D: A Simulator-Descriptor Suite for Polymer-Based Systems under Extreme Conditions
title_fullStr Simu-D: A Simulator-Descriptor Suite for Polymer-Based Systems under Extreme Conditions
title_full_unstemmed Simu-D: A Simulator-Descriptor Suite for Polymer-Based Systems under Extreme Conditions
title_sort simu-d: a simulator-descriptor suite for polymer-based systems under extreme conditions
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/fabaa2b3f9fe44abbd0b1023c8138d28
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AT katerinafoteinopoulou simudasimulatordescriptorsuiteforpolymerbasedsystemsunderextremeconditions
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