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  Coarse-grained treatment of the self-assembly of colloids suspended in a nematic host phase.

Püschel-Schlotthauer, S., Stieger, T., Melle, M., Mazza, M. G., & Schoen, M. (2016). Coarse-grained treatment of the self-assembly of colloids suspended in a nematic host phase. Soft Matter, 12(2), 469-480. doi: 10.1039/C5SM01860A.

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Püschel-Schlotthauer, Sergej, Author
Stieger, Tillmann, Author
Melle, Michael, Author
Mazza, Marco G.1, Author           
Schoen, Martin, Author
Affiliations:
1Group Non-equilibrium soft matter, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063308              

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 Abstract: The complex interplay of molecular scale effects, nonlinearities in the orientational field and long-range elastic forces makes liquid-crystal physics very challenging. A consistent way to extract information from the microscopic, molecular scale up to the meso- and macroscopic scale is still missing. Here, we develop a hybrid procedure that bridges this gap by combining extensive Monte Carlo (MC) simulations, a local Landau–de Gennes theory, classical density functional theory, and finite-size scaling theory. As a test case to demonstrate the power and validity of our novel approach we study the effective interaction among colloids with Boojum defect topology immersed in a nematic liquid crystal. In particular, at sufficiently small separations colloids attract each other if the angle between their center-of-mass distance vector and the far-field nematic director is about 30°. Using the effective potential in coarse-grained two-dimensional MC simulations we show that self-assembled structures formed by the colloids are in excellent agreement with experimental data.

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Language(s): eng - English
 Dates: 2015-10-132016-01-14
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1039/C5SM01860A
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Title: Soft Matter
Source Genre: Journal
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Pages: - Volume / Issue: 12 (2) Sequence Number: - Start / End Page: 469 - 480 Identifier: ISSN: 1744-683X