Document Detail


Self-assembly scenarios of patchy colloidal particles in two dimensions.
MedLine Citation:
PMID:  21389439     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
We have investigated the self-assembly scenario of patchy colloidal particles in a two-dimensional system. The energetically most favourable ordered particle arrangements have been identified via an optimization tool that is based on genetic algorithms. Assuming different simple models for patchy colloidal particles, which include binary mixtures as well as attraction and repulsion between the patches, we could identify a broad variety of highly non-trivial ordered structures. The strategies of the systems to self-assemble become evident from a systematic variation of the pressure: (i) saturation of patch bonds at low pressure and close packing at high pressure and (ii) for intermediate pressure values, the strategy is governed by a trade-off between these two energetic aspects. The present study is yet another demonstration of the efficiency and the high reliability of genetic algorithms as versatile optimization tools.
Authors:
Günther Doppelbauer; Emanuela Bianchi; Gerhard Kahl
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Publication Detail:
Type:  Journal Article     Date:  2010-02-23
Journal Detail:
Title:  Journal of physics. Condensed matter : an Institute of Physics journal     Volume:  22     ISSN:  0953-8984     ISO Abbreviation:  J Phys Condens Matter     Publication Date:  2010 Mar 
Date Detail:
Created Date:  2011-03-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101165248     Medline TA:  J Phys Condens Matter     Country:  England    
Other Details:
Languages:  eng     Pagination:  104105     Citation Subset:  IM    
Affiliation:
Institut für Theoretische Physik and Center for Computational Materials Science (CMS), Technische Universität Wien, Wiedner Hauptstraße 8-10, A-1040 Wien, Austria.
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