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Benchmark fragment-based 1H, 13C, 15N and 17O chemical shift predictions in molecular crystals

Benchmark fragment-based 1H, 13C, 15N and 17O chemical shift predictions in molecular crystals
Benchmark fragment-based 1H, 13C, 15N and 17O chemical shift predictions in molecular crystals
The performance of fragment-based ab initio 1H, 13C, 15N and 17O chemical shift predictions is assessed against experimental NMR chemical shift data in four benchmark sets of molecular crystals. Employing a variety of commonly used ensity functionals (PBE0, B3LYP, TPSSh, OPBE, PBE, TPSS), we explore the relative performance of cluster, two-body fragment, and combined cluster/fragment models. The hybrid density functionals (PBE0, B3LYP and TPSSh) generally out-perform their generalized gradient approximation (GGA)-based counterparts. 1H, 13C, 15N, and 17O isotropic chemical shifts can be predicted with root-mean-square errors of 0.3, 1.5, 4.2, and 9.8 ppm, respectively, using a computationally inexpensive electrostatically embedded two-body PBE0 fragment model. Oxygen chemical shieldings prove particularly sensitive to local many-body effects, and using a combined cluster/fragment model instead of the simple two-body fragment model decreases the root-mean-square errors to 7.6 ppm. These fragmentbased model errors compare favorably with GIPAW PBE ones of 0.4, 2.2, 5.4, and 7.2 ppm for the same 1H, 13C, 15N, and 17O test sets. Using these benchmark calculations, a set of recommended linear regression parameters for mapping between calculated chemical shieldings and observed chemical shifts are provided and their robustness assessed using statistical cross validation. We demonstrate the utility of these approaches and the reported scaling parameters on applications to 9-tertbutyl anthracene, several histidine co-crystals, benzoic acid and the Cnitrosoarene SnCl2(CH3)2(NODMA)2.
1463-9076
21686-21709
Hartman, Joshua D.
51cb65a2-8358-49b3-a706-c173475d5aa5
Kudla, Ryan A.
f4c1ddb5-b114-41a1-8ed9-5c58d077bfe9
Day, Graeme M.
e3be79ba-ad12-4461-b735-74d5c4355636
Mueller, Leonard J.
18c37529-9ad9-48a3-8813-c72c7fd2f27f
Beran, Gregory J.O.
fb6cc306-bb75-40ad-875e-2b81cc156671
Hartman, Joshua D.
51cb65a2-8358-49b3-a706-c173475d5aa5
Kudla, Ryan A.
f4c1ddb5-b114-41a1-8ed9-5c58d077bfe9
Day, Graeme M.
e3be79ba-ad12-4461-b735-74d5c4355636
Mueller, Leonard J.
18c37529-9ad9-48a3-8813-c72c7fd2f27f
Beran, Gregory J.O.
fb6cc306-bb75-40ad-875e-2b81cc156671

Hartman, Joshua D., Kudla, Ryan A., Day, Graeme M., Mueller, Leonard J. and Beran, Gregory J.O. (2016) Benchmark fragment-based 1H, 13C, 15N and 17O chemical shift predictions in molecular crystals. Physical Chemistry Chemical Physics, 18, 21686-21709. (doi:10.1039/C6CP01831A).

Record type: Article

Abstract

The performance of fragment-based ab initio 1H, 13C, 15N and 17O chemical shift predictions is assessed against experimental NMR chemical shift data in four benchmark sets of molecular crystals. Employing a variety of commonly used ensity functionals (PBE0, B3LYP, TPSSh, OPBE, PBE, TPSS), we explore the relative performance of cluster, two-body fragment, and combined cluster/fragment models. The hybrid density functionals (PBE0, B3LYP and TPSSh) generally out-perform their generalized gradient approximation (GGA)-based counterparts. 1H, 13C, 15N, and 17O isotropic chemical shifts can be predicted with root-mean-square errors of 0.3, 1.5, 4.2, and 9.8 ppm, respectively, using a computationally inexpensive electrostatically embedded two-body PBE0 fragment model. Oxygen chemical shieldings prove particularly sensitive to local many-body effects, and using a combined cluster/fragment model instead of the simple two-body fragment model decreases the root-mean-square errors to 7.6 ppm. These fragmentbased model errors compare favorably with GIPAW PBE ones of 0.4, 2.2, 5.4, and 7.2 ppm for the same 1H, 13C, 15N, and 17O test sets. Using these benchmark calculations, a set of recommended linear regression parameters for mapping between calculated chemical shieldings and observed chemical shifts are provided and their robustness assessed using statistical cross validation. We demonstrate the utility of these approaches and the reported scaling parameters on applications to 9-tertbutyl anthracene, several histidine co-crystals, benzoic acid and the Cnitrosoarene SnCl2(CH3)2(NODMA)2.

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Accepted/In Press date: 11 July 2016
e-pub ahead of print date: 19 July 2016
Organisations: Chemistry

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Local EPrints ID: 398161
URI: http://eprints.soton.ac.uk/id/eprint/398161
ISSN: 1463-9076
PURE UUID: f217ea1e-b010-4d88-8811-b172eeaddd32
ORCID for Graeme M. Day: ORCID iD orcid.org/0000-0001-8396-2771

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Date deposited: 20 Jul 2016 12:22
Last modified: 07 Oct 2020 05:47

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Contributors

Author: Joshua D. Hartman
Author: Ryan A. Kudla
Author: Graeme M. Day ORCID iD
Author: Leonard J. Mueller
Author: Gregory J.O. Beran

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