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首页> 外文期刊>Molecular physics >Structure, electronic properties and vibrational spectra of (MgF2) n clusters through a combination of genetic algorithm and DFT- based approach
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Structure, electronic properties and vibrational spectra of (MgF2) n clusters through a combination of genetic algorithm and DFT- based approach

机译:(MgF2)n团簇的结构,电子性质和振动光谱,通过遗传算法和基于DFT的方法相结合

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摘要

In this article, we look at the option of using a stochastic optimisation technique, namely genetic algorithm (GA) in association with density functional theory (DFT) to find out the global minimum structures of (MgF2)(n) clusters with the range of n being between 2 and 10. To confirm whether the structures are indeed the acceptable ones, we go on to evaluate several properties like IR spectroscopic modes, vertical excitation energy, cluster formation energy, vertical ionisation potential and the HOMO-LUMO gap. We stress on the fact that an initial estimation of structure using GA, on two empirical potentials (with and without inclusion of polarisation), leads to a very quick convergence to structures which are quite close to the structures obtained from quantum chemical calculations done from the outset, such as using a DFT calculation. The general structural trend of these systems to form three-dimensional networks is also clear from our study. The lowest energy isomers of these clusters show preference for four-membered Mg2F2 and six-membered Mg3F3 rings. In the IR spectra of (MgF2)(n) clusters, a blueshift of the Mg-F symmetric stretch and a redshift of asymmetric Mg-F stretching as n increases are obtained.
机译:在本文中,我们将探讨使用随机优化技术(即遗传算法(GA)与密度泛函理论(DFT)结合)找出范围为(MgF2)(n)的全局最小结构的选项。 n在2到10之间。为了确认结构是否确实可以接受,我们继续评估一些特性,例如红外光谱模式,垂直激发能,团簇形成能,垂直电离能和HOMO-LUMO间隙。我们强调这样一个事实,即使用GA在两个经验电势下(包括和不包括极化)对结构的初始估计,会导致结构非常快地收敛,该结构非常接近于由量子化学计算得出的结构。开始,例如使用DFT计算。从我们的研究中也清楚了这些系统形成三维网络的总体结构趋势。这些簇的最低能量异构体显示出对四元Mg2F2和六元Mg3F3环的偏爱。在(MgF2)(n)团簇的红外光谱中,随着n的增加,获得Mg-F对称拉伸的蓝移和不对称Mg-F拉伸的红移。

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