Buchhorn Moritz, Krewald Vera
Theoretische Chemie, Technische Universität Darmstadt, Darmstadt, Germany.
J Comput Chem. 2024 Jan 15;45(2):122-134. doi: 10.1002/jcc.27224. Epub 2023 Sep 28.
The angular overlap model (AOM) is an established parameterization scheme within ligand field theory (LFT). In principle, its application is fairly straightforward, but can be tedious and involve a trial-and-error approach to identify and judge the best set of parameters. With the availability of quantum chemical methods to predict d-d transitions in transition metal complexes, a rich source of computational spectroscopic data with unambiguous assignments to electronic states is available. Herein, we present AOMadillo, a software package that is designed to interface the output of ab initio LFT calculations from the ORCA suite of programs and performs a least-squares fit for a chosen AOM parameterization. Many steps of the AOM parameterization are automated, so that scans of geometric parameters and evaluations of sets of similar complexes are convenient. The fitting routine is highly configurable, allowing the efficient evaluation of different parameter sets.
角重叠模型(AOM)是配位场理论(LFT)中一种既定的参数化方案。原则上,其应用相当直接,但可能很繁琐,且需要采用试错法来识别和判断最佳参数集。随着量子化学方法可用于预测过渡金属配合物中的d-d跃迁,现在有了丰富的计算光谱数据来源,且对电子态的归属明确。在此,我们展示了AOMadillo,这是一个软件包,旨在连接ORCA程序套件中从头算LFT计算的输出,并对选定的AOM参数化进行最小二乘拟合。AOM参数化的许多步骤都是自动化的,因此方便对几何参数进行扫描以及对相似配合物集进行评估。拟合程序具有高度可配置性,能够高效评估不同的参数集。