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Sparkle/PM7 Lanthanide Parameters for the Modeling of Complexes and Materials

机译:用于复合物和材料建模的Sparkle / PM7镧系元素参数

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摘要

The recently published Parametric Method number 7, PM7, is the first semiempirical method to be successfully tested by modeling crystal structures and heats of formation of solids. PM7 is thus also capable of producing results of useful accuracy for materials science, and constitutes a great improvement over its predecessor, PM6. In this article, we present Sparkle Model parameters to be used with PM7 that allow the prediction of geometries of metal complexes and materials which contain lanthanide trications. Accordingly, we considered the geometries of 224 high-quality crystallographic structures of complexes for the parameterization set and 395 more for the validation of the parameterization for the whole lanthanide series, from La(III) to Lu(III). The average unsigned error for Sparkle/PM7 for the distances between the metal ion and its coordinating atoms is 0.063Å for all lanthanides, ranging from a minimum of 0.052Å for Tb(III) to 0.088Å for Ce(III), comparable to the equivalent errors in the distances predicted by PM7 for other metals. These distance deviations follow a gamma distribution within a 95% level of confidence, signifying that they appear to be random around a mean, confirming that Sparkle/PM7 is a well-tempered method. We conclude by carrying out a Sparkle/PM7 full geometry optimization of two spatial groups of the same thulium-containing metal organic framework, with unit cells accommodating 376 atoms, of which 16 are Tm(III) cations; the optimized geometries were in good agreement with the crystallographic ones. These results emphasize the capability of the use of the Sparkle Model for the prediction of geometries of compounds containing lanthanide trications within the PM7 semiempirical model, as well as the usefulness of such semiempirical calculations for materials modeling. Sparkle/PM7 is available in the software package MOPAC2012, at no cost for academics and can be obtained from .
机译:最近发布的7号参数化方法PM7是通过对晶体结构和固体形成热进行建模而成功测试的第一个半经验方法。因此,PM7还能产生对材料科学有用的精确度的结果,并且比其前身PM6有了很大的改进。在本文中,我们介绍了与PM7配合使用的Sparkle Model参数,这些参数可以预测金属配合物和包含镧系元素三阶结构的材料的几何形状。因此,我们考虑了224种高质量复合物的晶体结构的几何结构,以进行参数化设置,并考虑了395种以上的结构,以验证从La(III)到Lu(III)的整个镧系元素的参数化。对于所有镧系元素,金属离子与其配位原子之间距离的Sparkle / PM7平均无符号误差为0.063Å,范围从Tb(III)的最小0.052Å到Ce(III)的0.088Å,与PM7预测的其他金属距离的等效误差。这些距离偏差在95%的置信度内遵循伽马分布,这表明它们似乎在平均值附近是随机的,从而确认Sparkle / PM7是一种很好的方法。我们通过对同一含th金属有机骨架的两个空间组进行Sparkle / PM7完整几何优化来得出结论,其中晶胞可容纳376个原子,其中16个是Tm(III)阳离子。优化的几何形状与晶体学形状非常吻合。这些结果强调了将Sparkle模型用于预测PM7半经验模型中包含镧系元素三阶化合物的几何形状的能力,以及此类半经验计算对于材料建模的有用性。 Sparkle / PM7可通过MOPAC2012软件包获得,学术人员无需付费,可从网站获取。

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