Fornleitner Julia, Lo Verso Federica, Kahl Gerhard, Likos Christos N
Center for Computational Materials Science and Institut für Theoretische Physik, Technische Universität Wien, Wiedner Hauptstraße 8-10, A-1040 Vienna, Austria.
Institut für Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universität Düsseldorf, Universitätsstraße 1, D-40225 Düsseldorf, Germany and Chimie Analytique et Biophysico-chimie de l'Environment (CABE), Université de Genève - Sciences II, 30, Quai Ernest-Ansermet, CH-1211 Genève 4, Switzerland.
Soft Matter. 2008 Feb 21;4(3):480-484. doi: 10.1039/b717205b.
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.
我们采用遗传算法（GA）来识别由限制在平面上的二元偶极系统形成的有序平衡构型，该算法能够对能量景观的全局最小值进行无偏搜索。我们识别出了各种各样的排列方式，其复杂性随着两个组分之间不对称性的增加以及小颗粒浓度的增加而增加。简要讨论了密度的影响，并与通过传统晶格和最小化获得的结果进行了比较。我们的结果可以通过涉及限制在空气 - 水界面上并由外部垂直磁场极化的聚苯乙烯偶极球体或超顺磁性胶体的朗缪尔单层的实验得到证实。
