Comparison between Iron and Cobalt Clusters in Terms of Chemical Catalysis

Faycal Baira, Y. Benkrima, Mohammed Elbar Soudani, A. Souigat, Afif Benameur, Z. Korichi, Djamel Eddine Belfennache
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Abstract

The low-energy geometry and electronic structures of each of the nickel (Fen) and (Con) clusters were arrived at, where the number of n atoms that make up these groups ranges from 2 to 10 and this is based on the use of density functional theory (DFT) using generalized gradient approximation (GGA) taken from the method SIESTA. By searching for clusters with low-energy structures, new structures with low-energies were obtained. For each cluster size, the average bond length, binding energy, Vertical Ionization Potential (VIP) was calculated by this method. Low-energy structures of clusters are even for values n > 6 being linear in the plane, while stability showed that the clusters Fe10 and Co10 have the highest value of the binding energy. The VIP, show clear oscillations at odd and even values, indicating that Fe 2, 6,8,10 and Co 3,7,9 clusters have a higher stability compared to their neighboring clusters. In this research we have succeeded in studying some groups of iron and cobalt using DFT, and addressing their structural aspects in addition to their catalytic properties.
铁和钴簇在化学催化方面的比较
每个镍(Fen)和(Con)簇的低能几何和电子结构都得到了,其中组成这些基团的n原子的数量在2到10之间,这是基于密度泛函理论(DFT)的使用,使用来自SIESTA方法的广义梯度近似(GGA)。通过搜索具有低能结构的簇,获得具有低能结构的新簇。对于每一个簇大小,用该方法计算了平均键长、结合能、垂直电离势(VIP)。当n > 6时,团簇的低能结构在平面上呈线性,而稳定性表明团簇Fe10和Co10具有最高的结合能。VIP在奇偶值处表现出明显的振荡,表明Fe 2、6、8、10和Co 3、7、9团簇相对于邻近的团簇具有更高的稳定性。在这项研究中,我们成功地利用DFT研究了铁和钴的一些基团,并解决了它们的结构方面以及它们的催化性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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