Predicting 17O NMR chemical shifts of polyoxometalates using density functional theory. Issue 11 (1st March 2016)

• Record Type: Journal Article
• Authors: Sharma, Rupali; Zhang, Jie; Ohlin, C. André
• Is Part Of: Physical chemistry chemical physics. Volume 18:Issue 11(2016)
• Page Start: 8235
• Page End: 8241
• Publication Date: 2016-03-01
• Subjects: Chemistry, Physical and theoretical -- Periodicals; 541.3
• DOI: 10.1039/c5cp07766d
• Languages: English
• ISSNs: 1463-9076

Abstract

Abstract : We have investigated the computation of 17 O NMR chemical shifts of a wide range of polyoxometalates using density functional theory. Abstract : We have investigated the computation of 17 O NMR chemical shifts of a wide range of polyoxometalates using density functional theory. The effects of basis sets and exchange–correlation functionals are explored, and whereas pure DFT functionals generally predict the chemical shifts of terminal oxygen sites quite well, hybrid functionals are required for the prediction of accurate chemical shifts in conjunction with linear regression. By using PBE0/def2-tzvp//PBE0/cc-pvtz(H-Ar), lanl2dz(K-) we have computed the chemical shifts of 37 polyoxometalates, corresponding to 209 17 O NMR signals. We also show that at this level of theory the protonation-induced pH dependence of the chemical shift of the triprotic hexaniobate Lindqvist anion, [H x Nb6 O19 ] (8− x ), can be reproduced, which suggests that hypotheses regarding loci of protonation can be confidently tested.