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Optimally stuffed fullerene structures of silicon nanoclusters

机译:硅纳米团簇的最佳填充富勒烯结构

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The stuffed fullerene structures of nanoscale silicon clusters have been studied using density functional theory. Taking Si_(40) as a prototype, stuffed fullerene cages with a different "stuffing/cage" ratio (i.e., Si_4@Si_(36), Si_6@Si_(34), and Si_8@Si_(32)) and topological structures have been constructed with the aid of local optimization by simulated annealing with tight-binding molecular dynamics. DFT minimization of these "handmade" structures show that the Si_6@Si_(34) is the optimally stuffed cage with lowest energy, in agreement with previous unbiased genetic algorithm optimization with tight-binding method. The optimal ratio between the number of atoms on the fullerene cage and that stuffed inside can be understood by the effect of space filling. The binding energy and electronic properties of Si_(40) cluster is calculated and compared with available experiments.
机译:使用密度泛函理论研究了填充的纳米级硅团簇富勒烯结构。以Si_(40)为原型,填充的富勒烯笼具有不同的“填充/笼”比(即,Si_4 @ Si_(36),Si_6 @ Si_(34)和Si_8 @ Si_(32)),并且拓扑结构具有借助局部优化,通过具有紧密结合分子动力学的模拟退火,构建了我们自己的系统。这些“手工”结构的DFT最小化表明,Si_6 @ Si_(34)是能量最低的最佳填充笼子,这与以前采用紧密绑定方法进行的无偏遗传算法优化相一致。富勒烯笼子上的原子数与填充在里面的原子数之间的最佳比例可以通过空间填充的效果来理解。计算Si_(40)团簇的结合能和电子性质,并将其与可用的实验进行比较。

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