Miriyala V M, Řezáč J
Department of Computational Chemistry , Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences , Flemingovo Náměstí 542/2 , 16610 Prague , Czech Republic.
J Phys Chem A. 2018 Mar 15;122(10):2801-2808. doi: 10.1021/acs.jpca.8b00260. Epub 2018 Mar 2.
Semiempirical quantum mechanical (QM) methods with corrections for noncovalent interactions provide a favorable combination of accuracy and computational efficiency that makes them a useful tool for a study of large molecular systems. It was, however, noted that the accuracy of these methods deteriorates at intermolecular distances shorter than equilibrium. In this work, we explore this issue systematically using a newly developed data set of benchmark interaction energies named R160×6. This data set maps repulsive contacts in organic molecules, and it consists of 160 model complexes for which six points along the dissociation curve are provided. Testing a wide range of semiempirical QM methods against the CCSD(T)/CBS benchmark revealed that most methods, and all the dispersion-corrected ones, underestimate the repulsion systematically. The worst cases are usually hydrogen-hydrogen contacts. The best results were obtained with PM6-D3H4 and DFTB3-D3H4, as these methods already contain a correction for the H-H repulsion, but the errors are still about twice as large as in equilibrium geometries.
带有非共价相互作用校正的半经验量子力学(QM)方法提供了准确性和计算效率的良好结合,这使得它们成为研究大分子系统的有用工具。然而,有人指出,这些方法在分子间距离短于平衡距离时准确性会下降。在这项工作中,我们使用新开发的名为R160×6的基准相互作用能数据集系统地探讨了这个问题。该数据集描绘了有机分子中的排斥接触,它由160个模型复合物组成,沿着解离曲线提供了六个点。针对CCSD(T)/CBS基准测试多种半经验QM方法发现,大多数方法以及所有经色散校正的方法都会系统性地低估排斥力。最糟糕的情况通常是氢-氢接触。使用PM6-D3H4和DFTB3-D3H4获得了最佳结果,因为这些方法已经包含了对H-H排斥力的校正,但误差仍然大约是平衡几何结构中的两倍。