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Big bang methodology applied to atomic clusters

机译:大爆炸方法应用于原子团簇

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摘要

An implementation of a novel strategy for cluster geometry optimization, using a stochastic method, is applied. This algorithm is based on the spirit of Big Bang theory. The strategy consists on a three-step procedure; a semiempirical optimization of the 1000n super compressed starting geometries, followed by two DFT optimizations of the resulting structures. The methodology is applied to the study of alkali metal clusters (Lin with 3 ≤ n ≤ 20, Nan with 3 ≤ n ≤ 13, and Kn with 3 ≤ n ≤ 10) structures and properties. With this new technique, we were able to find new isomers. The structures of alkali clusters show a large number of pentagonal pyramids and tetrahedral subunits. Most important electronic properties have been discussed and compared with different calculations and experimental data.
机译:应用了一种使用随机方法的集群几何优化新策略的实现。该算法基于“大爆炸”理论的精神。该策略包括三个步骤。对1000n超级压缩起始几何图形进行半经验优化,然后对所得结构进行两次DFT优化。该方法适用于碱金属团簇(3≤n≤20的Lin,3≤n≤13的Nan和3≤n≤10的Kn)的结构和性质的研究。借助这项新技术,我们能够找到新的异构体。碱金属簇的结构显示出大量的五角锥和四面体亚基。已经讨论了最重要的电子性能,并与不同的计算和实验数据进行了比较。

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