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Issue 3, 2008
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Genetic algorithms predict formation of exotic ordered configurations for two-component dipolar monolayers

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Abstract

We employ genetic algorithms (GA), which allow for an unbiased search for the global minimum of energy landscapes, to identify the ordered equilibrium configurations formed by binary dipolar systems confined on a plane. A large variety of arrangements is identified, the complexity of which grows with increasing asymmetry between the two components and with growing concentration of the small particles. The effects of the density are briefly discussed and a comparison with results obtained via conventional lattice-sum minimization is presented. Our results can be confirmed by experiments involving Langmuir monolayers of polystyrene dipolar spheres or superparamagnetic colloids confined on the air–water interface and polarized by an external, perpendicular magnetic field.

Graphical abstract: Genetic algorithms predict formation of exotic ordered configurations for two-component dipolar monolayers

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Publication details

The article was received on 07 Nov 2007, accepted on 21 Dec 2007 and first published on 18 Jan 2008


Article type: Communication
DOI: 10.1039/B717205B
Citation: Soft Matter, 2008,4, 480-484
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    Genetic algorithms predict formation of exotic ordered configurations for two-component dipolar monolayers

    J. Fornleitner, F. Lo Verso, G. Kahl and C. N. Likos, Soft Matter, 2008, 4, 480
    DOI: 10.1039/B717205B

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