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Predicting O-17 NMR chemical shifts of polyoxometalates using density functional theory
2016 (English)In: Physical Chemistry, Chemical Physics - PCCP, ISSN 1463-9076, E-ISSN 1463-9084, Vol. 18, no 11, p. 8235-8241Article in journal (Refereed) Published
Abstract [en]

We have investigated the computation of O-17 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 O-17 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, [HxNb6O19]((8-x)), can be reproduced, which suggests that hypotheses regarding loci of protonation can be confidently tested.

Place, publisher, year, edition, pages
2016. Vol. 18, no 11, p. 8235-8241
National Category
Inorganic Chemistry Theoretical Chemistry
Identifiers
URN: urn:nbn:se:umu:diva-129102DOI: 10.1039/c5cp07766dISI: 000372229700071PubMedID: 26925832OAI: oai:DiVA.org:umu-129102DiVA, id: diva2:1058399
Funder
Australian Research Council, DP110105530Australian Research Council, DP130100483Available from: 2016-12-21 Created: 2016-12-21 Last updated: 2018-06-09Bibliographically approved

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Ohlin, C. André

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