Seeger Zoe L, Izgorodina Ekaterina I
School of Chemistry, Monash University, Clayton, Victoria, Australia.
J Comput Chem. 2022 Jan 15;43(2):106-120. doi: 10.1002/jcc.26776. Epub 2021 Oct 23.
The accuracy of correlation energy recovered by coupled cluster single-, double-, and perturbative triple-excitations, CCSD(T), has led to the method being considered the gold standard of computational chemistry. The application of CCSD(T) has been limited to medium-sized molecular systems due to its steep scaling with molecular size. The recent development of alternative domain-based local pair natural orbital coupled-cluster method, DLPNO-CCSD(T), has significantly broadened the range of chemical systems to which CCSD(T) level calculations can be applied. Condensed systems such as ionic liquids (ILs) have a large contribution from London dispersion forces of up to 150 kJ mol in large-scale clusters. Ionic liquids show appreciable charge transfer effects that result in the increased valence orbital delocalization over the entire ionic network, raising the question whether the application of methods based on localized orbitals is reliable for these semi-Coulombic materials. Here the performance of DLPNO-CCSD(T) is validated for the prediction of correlation interaction energies of two data sets incorporating single-ion pairs of protic and aprotic ILs. DLPNO-CCSD(T) produced results within chemical accuracy with tight parameter settings and a non-iterative treatment of triple excitations. To achieve spectroscopic accuracy of 1 kJ mol , especially for hydrogen-bonded ILs and those containing halides, the DLPNO settings had to be increased by two orders of magnitude and include the iterative treatment of triple excitations, resulting in a 2.5-fold increase in computational cost. Two new sets of parameters are put forward to produce the performance of DLPNO-CCSD(T) within chemical and spectroscopic accuracy.
通过耦合簇单、双和微扰三激发(CCSD(T))恢复的相关能量的准确性,使得该方法被视为计算化学的黄金标准。由于CCSD(T)随分子大小的急剧缩放,其应用仅限于中等大小的分子系统。基于域的局部对自然轨道耦合簇方法(DLPNO-CCSD(T))的最新发展显著拓宽了可应用CCSD(T)水平计算的化学系统范围。诸如离子液体(ILs)之类的凝聚系统在大规模簇中伦敦色散力的贡献高达150 kJ/mol。离子液体表现出明显的电荷转移效应,这导致价轨道在整个离子网络上的离域增加,从而引发了基于定域轨道的方法对这些半库仑材料的应用是否可靠的问题。在此,针对包含质子型和非质子型离子液体单离子对的两个数据集的相关相互作用能预测,验证了DLPNO-CCSD(T)的性能。DLPNO-CCSD(T)在严格的参数设置和三激发的非迭代处理下产生了化学精度范围内的结果。为了达到1 kJ/mol的光谱精度,特别是对于氢键型离子液体和含卤化物的离子液体,DLPNO设置必须增加两个数量级并包括三激发的迭代处理,这导致计算成本增加2.5倍。提出了两组新参数,以使DLPNO-CCSD(T)在化学和光谱精度范围内表现良好。