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准确预测 SiO2 多晶型物(29)Si 和(17)O NMR 参数的第一性原理:沸石 Sigma-2 和 Ferrierite 的实例。

Accurate First-Principle Prediction of (29)Si and (17)O NMR Parameters in SiO2 Polymorphs: The Cases of Zeolites Sigma-2 and Ferrierite.

机构信息

Dipartimento di Chimica, Università di Modena e Reggio Emilia, Via G. Campi 183, 41100 Modena, Italy, Dipartimento di Chimica "Paolo Corradini" and CR-INSTM "Village", Università di Napoli Federico II, Complesso Universitario Monte Sant'Angelo Via Cintia I, 80126, Napoli, Italy, and Istituto per i Processi Chimico Fisici CNR and CR-INSTM "Village", Area della Ricerca del CNR Via Moruzzi 1, 56124 Pisa, Italy.

出版信息

J Chem Theory Comput. 2008 Dec 9;4(12):2130-40. doi: 10.1021/ct8003035.

Abstract

The magnetic shielding tensors of silica polymorphs have been investigated by means of quantum chemical calculations. Several levels of theory, from Hartree-Fock to the last generation of Density Functional Theory based approaches, have been tested on predicting (29)Si and (17)O isotropic and principal components of the chemical shift tensors together with (17)O quadrupolar coupling constants. The NMR parameters have been computed on all known silica systems, namely, α-quartz, α-cristobalite, coesite, Sigma-2, and ferrierite zeolites. Besides, cluster based approaches have been compared to a hybrid Quantum-Mechanics/Molecular-Mechanics (QM/MM) method, within the ONIOM scheme. The convergence of computed (17)O NMR parameters with respect to cluster size is found to be system-dependent. Excellent agreement between computed and experimental data has been found for (29)Si NMR parameters of the different Si sites of silica polymorphs and of Sigma-2 and ferrierite zeolites.

摘要

通过量子化学计算研究了二氧化硅多晶型体的磁屏蔽张量。从 Hartree-Fock 到基于密度泛函理论的最新一代方法,我们测试了几种理论水平,以预测 (29)Si 和 (17)O 各向同性和主成分的化学位移张量以及 (17)O 四极耦合常数。NMR 参数已针对所有已知的二氧化硅体系(即α-石英、α-方石英、柯石英、Sigma-2 和 ferrierite 沸石)进行了计算。此外,在 ONIOM 方案内,还将基于簇的方法与混合量子力学/分子力学 (QM/MM) 方法进行了比较。发现计算的 (17)O NMR 参数随簇大小的收敛性与系统有关。在不同二氧化硅多晶型体和 Sigma-2 以及 ferrierite 沸石的 Si 位的 (29)Si NMR 参数方面,计算数据与实验数据之间存在极好的一致性。

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