Faulstich Fabian M, Kristiansen Håkon E, Csirik Mihaly A, Kvaal Simen, Pedersen Thomas Bondo, Laestadius Andre
Department of Mathematics, Rensselaer Polytechnic Institute, Troy, New York 12180, United States.
Hylleraas Centre for Quantum Molecular Sciences, Department of Chemistry, University of Oslo, Oslo 0315, Norway.
J Phys Chem A. 2023 Nov 2;127(43):9106-9120. doi: 10.1021/acs.jpca.3c01575. Epub 2023 Oct 24.
We propose a novel a posteriori error assessment for the single-reference coupled-cluster (SRCC) method called the -diagnostic. We provide a derivation of the -diagnostic that is rooted in the mathematical analysis of different SRCC variants. We numerically scrutinized the -diagnostic, testing its performance for (1) geometry optimizations, (2) electronic correlation simulations of systems with varying numerical difficulty, and (3) the square-planar copper complexes [CuCl], [Cu(NH)], and [Cu(HO)]. Throughout the numerical investigations, the -diagnostic is compared to other SRCC diagnostic procedures, that is, the , , max , and diagnostics as well as different indices of multideterminantal and multireference character in coupled-cluster theory. Our numerical investigations show that the -diagnostic outperforms the , , max and diagnostics and is comparable to the indices of multideterminantal and multireference character in coupled-cluster theory in their individual fields of applicability. The experiments investigating the performance of the -diagnostic for geometry optimizations using SRCC reveal that the -diagnostic correlates well with different error measures at a high level of statistical relevance. The experiments investigating the performance of the -diagnostic for electronic correlation simulations show that the -diagnostic correctly predicts strong multireference regimes. The -diagnostic, moreover, correctly detects the successful SRCC computations for [CuCl], [Cu(NH)], and [Cu(HO)], which have been known to be misdiagnosed by and diagnostics in the past. This shows that the -diagnostic is a promising candidate for an a posteriori diagnostic for SRCC calculations.
我们提出了一种针对单参考耦合簇(SRCC)方法的新型后验误差评估方法,称为 - 诊断法。我们给出了 - 诊断法的推导过程,该推导基于对不同SRCC变体的数学分析。我们对 - 诊断法进行了数值研究,测试了它在以下方面的性能:(1)几何结构优化;(2)对数值难度各异的系统进行电子关联模拟;(3)平面正方形铜配合物[CuCl]、[Cu(NH)]和[Cu(HO)]。在整个数值研究过程中,将 - 诊断法与其他SRCC诊断程序进行了比较,即 、 、max 和 诊断法,以及耦合簇理论中多行列式和多参考特征的不同指标。我们的数值研究表明, - 诊断法优于 、 、max 和 诊断法,并且在其各自的适用领域中与耦合簇理论中多行列式和多参考特征的指标相当。使用SRCC对 - 诊断法进行几何结构优化性能的实验表明, - 诊断法在高度统计相关性水平上与不同的误差度量具有良好的相关性。对 - 诊断法进行电子关联模拟性能的实验表明, - 诊断法能够正确预测强多参考区域。此外, - 诊断法正确地检测出了[CuCl]、[Cu(NH)]和[Cu(HO)]的成功SRCC计算,而过去已知这些计算被 和 诊断法误诊。这表明 - 诊断法是SRCC计算后验诊断的一个有前途的候选方法。