Alkan Fahri, Dybowski Cecil
Department of Chemistry, Kansas State University, Manhattan, KS, 66506, USA.
Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, 19716, USA.
Solid State Nucl Magn Reson. 2018 Nov;95:6-11. doi: 10.1016/j.ssnmr.2018.08.005. Epub 2018 Aug 28.
Cluster-based calculations of Te magnetic-shielding tensors demonstrate that inclusion of spin-orbit effects is necessary to obtain the best agreement of theoretical predictions with experiment. The spin-orbit contribution to shielding depends on the oxidation state and stereochemistry of the Te site. Comparison of the performance of various density functionals indicates that GGA functionals behave similarly to each other in predicting NMR magnetic shielding. The use of hybrid functionals improves the predictive ability on average for a large set of Te-containing materials. The amount of Hartree-Fock exchange affects the predicted parameters. Inclusion of larger Hartree-Fock exchange contributions in hybrid functionals results in larger slopes of the correlation between calculated magnetic-shielding and experimental chemical-shift principal components, by 10-15% from the ideal value.
基于簇的碲磁屏蔽张量计算表明,纳入自旋轨道效应对于使理论预测与实验达到最佳吻合是必要的。自旋轨道对屏蔽的贡献取决于碲位点的氧化态和立体化学。各种密度泛函性能的比较表明,广义梯度近似(GGA)泛函在预测核磁共振磁屏蔽方面表现相似。杂化泛函的使用平均提高了对大量含碲材料的预测能力。哈特里 - 福克交换量会影响预测参数。在杂化泛函中纳入更大的哈特里 - 福克交换贡献会导致计算的磁屏蔽与实验化学位移主成分之间相关性的斜率更大,比理想值大10 - 15%。