Self-assembly of polymer-like structures of magnetic colloids: Langevin dynamics study of basic topologies(Article)(Open Access)
- aInstitute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg, Russian Federation
- bPhysics Department, University of the Balearic Islands, Palma de Mallorca, Spain
- cComputational Physics, University of Vienna, Vienna, Austria
Abstract
We study the self-assembly of colloidal magnetic particles permanently cross-linked into polymer-like structures with different topologies, that we call supracolloidal magnetic polymers (SMPs). In order to understand the influence of the interparticle permanent links, we investigate SMPs holding the main topologies observed in the self-assembly of non-cross-linked magnetic particles via grand canonical Monte Carlo simulations: chains, rings and simple branched structures. Here, using molecular dynamics simulations, we focus on systems of SMP pairs. Our results evidence that the presence of crosslinkers leads to the formation of new types of aggregates, not previously observed for individual magnetic colloids. © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Indexed keywords
| Engineering controlled terms: | ColloidsCrosslinkingIntelligent systemsMagnetismMolecular dynamicsMonte Carlo methodsPolymersShape memory effectTopology |
|---|---|
| Engineering uncontrolled terms | Branched structuresColloidal particleCross-linked polymersGrand canonical Monte Carlo simulationLangevin dynamicsMagnetic particleMolecular dynamics simulationsPolymer-like structures |
| Engineering main heading: | Self assembly |
Funding details
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| H2020-MSCA-ITN-2014 | ||
| Horizon 2020 Framework Programme See opportunities by H2020 | 642774 | H2020 |
| Austrian Science Fund | START-Projekt Y 627-N27 | FWF |
| Ministerio de Economía y Competitividad | MINECO | |
| European Social Fund | ESF | |
| Russian Science Foundation | 17-72-10145 | RSF |
| European Regional Development Fund | FIS20015-63628-C2-2-R | FEDER |
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1
This research has been supported by the Russian Science Foundation [grant number 17-72-10145]. J.J.C. and T.S. acknowledge funding from a grant awarded by the Conselleria d’Innovació, Recerca i Turisme del Govern de les Illes Balears and the European Social Fund (ESF). T.S. also acknowledges financial support from the Spanish Ministerio de Economía y Competi-tividad and the European Regional Development Fund, [Project number FIS20015-63628-C2-2-R] (AEI/FEDER, UE). P.A.S and S.S.K acknowledge support from the Austrian Research Fund (FWF) [START-Projekt Y 627-N27]. S.S.K. also acknowledges support from the European Commission ETN-COLLDENSE [H2020-MSCA-ITN-2014], [grant number 642774]. The authors would like to thank F. Sciortino for his valuable contribution to the GCMC simulation results.
- ISSN: 08927022
- CODEN: MOSIE
- Source Type: Journal
- Original language: English
- DOI: 10.1080/08927022.2017.1378815
- Document Type: Article
- Publisher: Taylor and Francis Ltd.
Kantorovich, S.S.; Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg, Russian Federation;
© Copyright 2018 Elsevier B.V., All rights reserved.
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