PubMed · 12686179
Structural optimization of model colloidal clusters at the air-water interface using genetic algorithms.
Abstract
The structure of colloidal clusters observed at the air-water interface is studied theoretically in this paper using a recently developed global optimization routine based on a genetic algorithm. A model potential with a secondary minimum produced from the attractive van der Waals interaction and repulsive dipolar interaction is used for the colloid-colloid interaction. The structures predicted from the genetic algorithm are not always consistent with the experimental observations; the theoretical results predict the growth of cluster as a spreading of triangular networks, however, the experimental observations seem to suggest the formation of a circular shell structure. More thorough theoretical as well as experimental studies are called for in order to obtain more conclusive evidence regarding these matters.
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Masao Iwamatsu. 2003-04-15. Structural optimization of model colloidal clusters at the air-water interface using genetic algorithms.. https://doi.org/10.1016/s0021-9797(02)00251-5
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