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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2021
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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) |
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Monte Carlo atomistic simulation molecular simulation hard sphere extreme conditions confinement Biology (General) QH301-705.5 Chemistry QD1-999 |
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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 |
work_keys_str_mv |
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