We have employed simple model potentials and an evolutionary algorithm to assess the low-energy landscape of clusters resulting from the self-assembling of oppositely charged particles in two-dimensions ($2D$). The global minimum structures were obtained by employing an evolutionary algorithm (EA), which has been adapted to deal with planar clusters. The present results show that various families of structures, including linear- and ring-type motifs, arise in a relatively small energy-window.

中文翻译：

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来自带相反电荷粒子的自组装的二维簇

我们采用了简单的模型势和演化算法来评估由于二维带相反电荷的粒子的自组装而产生的簇的低能态（$\mathrm{2个}d$）。全局最小结构是通过采用进化算法（EA）获得的，该算法已适应于处理平面聚类。目前的结果表明，在相对较小的能量窗口中会出现各种结构家族，包括线性和环状图案。