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

被引：73

作者：

Fornleitner, Julia ^{[1
,2
]}

Lo Verso, Federica ^{[3
,4
]}

Kahl, Gerhard ^{[1
,2
]}

Likos, Christos N. ^{[3
,5
]}

机构：

[1] Vienna Univ Technol, Ctr Computat Mat Sci, A-1040 Vienna, Austria

[2] Vienna Univ Technol, Inst Theoret Phys, A-1040 Vienna, Austria

[3] Univ Dusseldorf, Inst Theoret Phys 2, D-40225 Dusseldorf, Germany

[4] Univ Geneve Sci II, CH-1211 Geneva 4, Switzerland

[5] Erwin Schrodinger Int Inst Math Phys ESI, A-1090 Vienna, Austria

来源：

SOFT MATTER | 2008年 / 4卷 / 03期

关键词：

D O I：

10.1039/b717205b

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

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.

引用

页码：480 / 484

页数：5

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