Institute of Theoretical and Computaional Chemistry, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
J Chem Phys. 2018 Oct 28;149(16):164106. doi: 10.1063/1.5050476.
The combination of density functional theory and multireference configuration interaction (DFT/MRCI) is a well-established semi-empirical method suitable for computing spectral properties of large molecular systems. To this day, three different Hamiltonians and various parameter set combinations exist. These DFT/MRCI variants are well tried and tested when it comes to electronic excitations of organic molecules. For transition metal complexes, systematic benchmarks against experimental data are missing, however. Here we present an assessment of the DFT/MRCI variants and of time-dependent, linear-response density functional theory (TDDFT) for a diverse set of ligand-centered, metal-to-ligand charge transfer, metal-centered, and ligand-to-metal charge transfer (LMCT) excitations on 21 3 and 4 complexes comprising 10 small inorganic and 11 larger metalorganic compounds with closed-shell ground states. In the course of this assessment, we realized that the excitation energies of transition metal complexes can be very sensitive with respect to the details of the damping function that scales off-diagonal matrix elements. This scaling is required in DFT/MRCI to avoid double counting of dynamic electron correlation. These insights lead to a new Hamiltonian, denoted R2018, with improved performance on transition metal compounds, while the results for organic molecules are nearly unaffected by the modified damping function. Two parameter sets were optimized for this Hamiltonian: One set is to be used in conjunction with the standard configuration selection threshold of 1.0 E and a second set is for use with a selection threshold of 0.8 E which leads to shorter wave function expansions. The R2018 Hamiltonian in standard parameterization achieves root-mean-square errors (RMSEs) of merely 0.15 eV for the metalorganic complexes, followed by 0.20 eV for the original DFT/MRCI ansatz, and 0.25 eV for the redesigned DFT/MRCI approach. In comparison, TDDFT gives a much larger RMSE of 0.46 eV for metalorganic complexes. None of the DFT/MRCI variants yields convincing results for small oxides and fluorides which exhibit LMCT transitions. Here, TDDFT performs better. If the oxides and fluorides are excluded from the inorganic test set, satisfactory agreement can be achieved, with RMSE values between 0.26 eV and 0.30 eV for DFT/MRCI and 0.34 eV for TDDFT. The performance of the original and the new DFT/MRCI Hamiltonians deteriorates only slightly, when a tighter selection threshold is chosen, thus enabling the computation of reliable spectral properties even for large metalorganic complexes.
密度泛函理论和多参考组态相互作用(DFT/MRCI)的组合是一种成熟的半经验方法,适用于计算大分子系统的光谱性质。时至今日,已经存在三种不同的哈密顿量和各种参数集组合。这些 DFT/MRCI 变体在有机分子的电子激发方面已经得到了很好的验证。然而,对于过渡金属配合物,还缺乏系统的基准测试实验数据。在这里,我们评估了 DFT/MRCI 变体和时变线性响应密度泛函理论(TDDFT)在 21 个 3 和 4 个配合物上的配体中心、金属到配体电荷转移、金属中心和配体到金属电荷转移(LMCT)激发的多样性,这些配合物包括 10 个小分子无机化合物和 11 个较大的金属有机化合物,具有闭壳基态。在这个评估过程中,我们意识到过渡金属配合物的激发能非常敏感,这取决于对角矩阵元素的阻尼函数的细节。在 DFT/MRCI 中,这种缩放是必需的,以避免动态电子相关的双重计数。这些见解导致了一种新的哈密顿量,记为 R2018,它在过渡金属化合物上的性能得到了改善,而对有机分子的结果几乎不受修改后的阻尼函数的影响。为这个哈密顿量优化了两个参数集:一个集与 1.0 E 的标准构型选择阈值一起使用,另一个集与 0.8 E 的选择阈值一起使用,这导致了较短的波函数展开。在标准参数化中,R2018 哈密顿量对金属有机配合物的均方根误差(RMSE)仅为 0.15 eV,其次是原始 DFT/MRCI 假设的 0.20 eV,以及重新设计的 DFT/MRCI 方法的 0.25 eV。相比之下,TDDFT 对金属有机配合物的 RMSE 要大得多,为 0.46 eV。对于表现出 LMCT 跃迁的小氧化物和氟化物,没有任何 DFT/MRCI 变体能够给出令人信服的结果。在这里,TDDFT 表现更好。如果将氧化物和氟化物从无机测试集中排除,就可以得到令人满意的一致性,DFT/MRCI 的 RMSE 值在 0.26 eV 到 0.30 eV 之间,TDDFT 的 RMSE 值为 0.34 eV。当选择更严格的选择阈值时,原始和新的 DFT/MRCI 哈密顿量的性能仅略有恶化,从而能够计算甚至对于大型金属有机配合物的可靠光谱性质。