Verma Pragya, Truhlar Donald G
Department of Chemistry, Nanoporous Materials Genome Center, Chemical Theory Center, and Minnesota Supercomputing Institute, University of Minnesota, 207 Pleasant Street SE, Minneapolis, MN 55455-0431, USA.
Phys Chem Chem Phys. 2017 May 24;19(20):12898-12912. doi: 10.1039/c7cp01576c.
Dipole moments are the first moment of electron density and are fundamental quantities that are often available from experiments. An exchange-correlation functional that leads to an accurate representation of the charge distribution of a molecule should accurately predict the dipole moments of the molecule. It is well known that Kohn-Sham density functional theory (DFT) is more accurate for the energetics of single-reference systems than for the energetics of multi-reference ones, but there has been less study of charge distributions. In this work, we benchmark 48 density functionals chosen with various combinations of ingredients, against accurate experimental data for dipole moments of 78 molecules, in particular 55 single-reference molecules and 23 multi-reference ones. We chose both organic and inorganic molecules, and within the category of inorganic molecules there are both main-group and transition-metal-containing molecules, with some of them being multi-reference. As one would expect, the multi-reference molecules are not as well described by single-reference DFT, and the functionals tested in this work do show larger mean unsigned errors (MUEs) for the 23 multi-reference molecules than the single-reference ones. Five of the 78 molecules have relatively large experimental error bars and were therefore not included in calculating the overall MUEs. For the 73 molecules not excluded, we find that three of the hybrid functionals, B97-1, PBE0, and TPSSh (each with less than or equal to 25% Hartree-Fock (HF) exchange), the range-separated hybrid functional, HSE06 (with HF exchange decreasing from 25% to 0 as interelectronic distance increases), and the hybrid functional, PW6B95 (with 28% HF exchange) are the best performing functionals with each yielding an MUE of 0.18 D. Perhaps the most significant finding of this study is that there exists great similarity among the success rate of various functionals in predicting dipole moments. In particular, of 39 functionals designed as general-purpose functionals and that do not have a global value of 100% HF exchange, the average MUE is 0.23 D, with a standard deviation of only 0.04 D. Among gradient approximations, which are especially interesting because of their speed and portability, the best overall performance is by PBE, HCTH/407, OLYP, OreLYP, and GAM, each with MUE of 0.22 D.
偶极矩是电子密度的一阶矩,是通常可从实验中获得的基本量。一个能准确表示分子电荷分布的交换关联泛函应能准确预测该分子的偶极矩。众所周知,对于单参考体系的能量,Kohn-Sham密度泛函理论(DFT)比多参考体系的能量更准确,但对电荷分布的研究较少。在这项工作中,我们针对78个分子(特别是55个单参考分子和23个多参考分子)的偶极矩的准确实验数据,对通过各种成分组合选择的48种密度泛函进行了基准测试。我们选择了有机和无机分子,在无机分子类别中既有主族分子也有含过渡金属的分子,其中一些是多参考分子。正如人们所预期的,单参考DFT对多参考分子的描述不如对单参考分子的描述,并且在这项工作中测试的泛函对于23个多参考分子确实显示出比单参考分子更大的平均绝对误差(MUE)。78个分子中有5个具有相对较大的实验误差范围,因此未被纳入计算总体MUE。对于未被排除的73个分子,我们发现三种杂化泛函B97-1、PBE0和TPSSh(每种具有小于或等于25%的Hartree-Fock(HF)交换)、范围分离杂化泛函HSE06(随着电子间距离增加,HF交换从25%降至0)以及杂化泛函PW6B95(具有28%的HF交换)是性能最佳的泛函,每种的MUE均为0.18 D。也许这项研究最显著的发现是,各种泛函在预测偶极矩方面的成功率存在很大相似性。特别是,在39种被设计为通用泛函且不具有100% HF交换全局值的泛函中,平均MUE为0.23 D,标准差仅为0.04 D。在梯度近似中,由于其速度和可移植性特别令人感兴趣,总体最佳性能由PBE、HCTH/407、OLYP、OreLYP和GAM实现,每种的MUE均为0.22 D。