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Lowest-Energy Structures and Electronic Properties of Al-n(-) Clusters (n=2-35) from Ab Initio Genetic Algorithm Search

机译:从头算遗传算法搜索Al-n(-)团簇(n = 2-35)的最低能级结构和电子性质

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摘要

Genetic algorithm combined with density functional theory (DFT) calculations is used to explore the size evolution of structural and electronic properties of anionic aluminum cluster (Al-n(-) with n = 2-35) in terms of their ground-state structures, binding energies, second order differences of total energies, HOMO-LUMO gaps, and photoelectron spectra. The lowest-energy structures of smallest Al-5(-) clusters (n <= 5) are planar, while three dimensional configurations dominate for n >= 6. The icosahedron of Al-13(-) and double icosahedrons of Al-19(-) are found as the core for the growth motif of aluminum clusters. For n = 20-24, a competition between double icosahedrons and fragments of fcc crystal is found. As the cluster size exceeds 25, the lowest-energy structures tend to adopt layered structure with fcc-like packing. We also simulated photoelectron spectra and vertical detach energies of Al-n(-) and reproduced the experimental data rather well, confirming the reliability of our theoretical results.
机译:遗传算法结合密度泛函理论(DFT)计算用于探讨阴离子铝团簇(n-2-3的Al-n(-)的基态结构)的结构和电子性质的尺寸演化,结合能,总能的二阶差,HOMO-LUMO间隙和光电子能谱。最小的Al-5(-)团簇(n <= 5)的最低能级结构是平面的,而n> = 6时则是三维结构。Al-13(-)的二十面体和Al-19的双二十面体(-)被发现为铝团簇生长图案的核心。对于n = 20-24,发现双二十面体和fcc晶体碎片之间存在竞争。当团簇大小超过25时,最低能级结构倾向于采用具有fcc状堆积的分层结构。我们还模拟了Al-n(-)的光电子能谱和垂直分离能,并很好地再现了实验数据,证实了我们理论结果的可靠性。

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