The PAW/GIPAW approach for computing NMR parameters: A new dimension added to NMR study of solids

被引:347
作者
Charpentier, Thibault [1 ]
机构
[1] CEA, CNRS, UMR 3299, Lab Struct & Dynam Resonance Magnet,IRAMIS,SIS2M, F-91191 Gif Sur Yvette, France
关键词
Solid-state NMR; DFT; PAW; GIPAW; Glass; Molecular dynamics; Computational spectroscopy; Plane wave pseudopotential; Electric field gradient; Magnetic shielding tensor; DENSITY-FUNCTIONAL THEORY; PROJECTOR-AUGMENTED-WAVE; ELECTRIC-FIELD-GRADIENT; STATE O-17 NMR; CHEMICAL-SHIFT TENSORS; QUADRUPOLAR COUPLING PARAMETERS; 1ST PRINCIPLES CALCULATION; AB-INITIO CALCULATIONS; 1ST-PRINCIPLES CALCULATIONS; MAS NMR;
D O I
10.1016/j.ssnmr.2011.04.006
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
In 2001, Mauri and Pickard introduced the gauge including projected augmented wave (GIPAW) method that enabled for the first time the calculation of all-electron NMR parameters in solids, i.e. accounting for periodic boundary conditions. The GIPAW method roots in the plane wave pseudopotential formalism of the density functional theory (DFT), and avoids the use of the cluster approximation. This method has undoubtedly revitalized the interest in quantum chemical calculations in the solid-state NMR community. It has quickly evolved and improved so that the calculation of the key. components of NMR interactions, namely the shielding and electric field gradient tensors, has now become a routine for most of the common nuclei studied in NMR. Availability of reliable implementations in several software packages (CASTEP, Quantum Espresso, PARATEC) make its usage more and more increasingly popular, maybe indispensable in near future for all material NMR studies. The majority of nuclei of the periodic table have already been investigated by GIPAW, and because of its high accuracy it is quickly becoming an essential tool for interpreting and understanding experimental NMR spectra, providing reliable assignments of the observed resonances to crystallographic sites or enabling a priori prediction of NMR data. The continuous increase of computing power makes ever larger (and thus more realistic) systems amenable to first-principles analysis. In the near future perspectives, as the incorporation of dynamical effects and/or disorder are still at their early developments, these areas will certainly be the prime target. (C) 2011 Elsevier Inc. All rights reserved.
引用
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页码:1 / 20
页数:20
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