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Title: | Self-assembly of polymer-like structures of magnetic colloids: Langevin dynamics study of basic topologies |
Authors: | Rozhkov, D. A. Pyanzina, E. S. Novak, E. V. Cerdà, J. J. Sintes, T. Ronti, M. Sánchez, P. A. Kantorovich, S. S. |
Issue Date: | 2018 |
Publisher: | Taylor and Francis Ltd. |
Citation: | Self-assembly of polymer-like structures of magnetic colloids: Langevin dynamics study of basic topologies / D. A. Rozhkov, E. S. Pyanzina, E. V. Novak et al. // Molecular Simulation. — 2018. — Vol. 44. — Iss. 6. — P. 507-515. |
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. |
Keywords: | CROSS-LINKED POLYMER-LIKE STRUCTURES LANGEVIN DYNAMICS SIMULATIONS MAGNETIC COLLOIDAL PARTICLES SELF-ASSEMBLY COLLOIDS CROSSLINKING INTELLIGENT SYSTEMS MAGNETISM MOLECULAR DYNAMICS MONTE CARLO METHODS POLYMERS SHAPE MEMORY EFFECT TOPOLOGY BRANCHED STRUCTURES COLLOIDAL PARTICLE CROSS-LINKED POLYMERS GRAND CANONICAL MONTE CARLO SIMULATION LANGEVIN DYNAMICS MAGNETIC PARTICLE MOLECULAR DYNAMICS SIMULATIONS POLYMER-LIKE STRUCTURES SELF ASSEMBLY |
URI: | http://elar.urfu.ru/handle/10995/75575 |
Access: | info:eu-repo/semantics/openAccess |
RSCI ID: | 35479321 |
SCOPUS ID: | 85030159243 |
WOS ID: | 000424947700009 |
PURE ID: | 6512803 |
ISSN: | 0892-7022 |
DOI: | 10.1080/08927022.2017.1378815 |
Sponsorship: | 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. |
RSCF project card: | 17-72-10145 |
CORDIS project card: | 642774 |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Files in This Item:
File | Description | Size | Format | |
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10.1080-08927022.2017.1378815.pdf | 1,9 MB | Adobe PDF | View/Open |
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