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Fast and Accurate Electric Field Gradient Calculations in Molecular Solids With Density Functional Theory

Modern approaches for calculating electric field gradient (EFF) tensors in molecular solids rely upon plane-wave calculations employing periodic boundary conditions (PBC). In practice, models employing PBCs are limited to generalized gradient approximation (GGA) density functionals. Hybrid density f...

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Autores principales: Hartman, Joshua D., Mathews, Amanda, Harper, James K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529703/
https://www.ncbi.nlm.nih.gov/pubmed/34692646
http://dx.doi.org/10.3389/fchem.2021.751711
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author Hartman, Joshua D.
Mathews, Amanda
Harper, James K.
author_facet Hartman, Joshua D.
Mathews, Amanda
Harper, James K.
author_sort Hartman, Joshua D.
collection PubMed
description Modern approaches for calculating electric field gradient (EFF) tensors in molecular solids rely upon plane-wave calculations employing periodic boundary conditions (PBC). In practice, models employing PBCs are limited to generalized gradient approximation (GGA) density functionals. Hybrid density functionals applied in the context of gauge-including atomic orbital (GIAO) calculations have been shown to substantially improve the accuracy of predicted NMR parameters. Here we propose an efficient method that effectively combines the benefits of both periodic calculations and single-molecule techniques for predicting electric field gradient tensors in molecular solids. Periodic calculations using plane-wave basis sets were used to model the crystalline environment. We then introduce a molecular correction to the periodic result obtained from a single-molecule calculation performed with a hybrid density functional. Single-molecule calculations performed using hybrid density functionals were found to significantly improve the agreement of predicted (17)O quadrupolar coupling constants (C ( q )) with experiment. We demonstrate a 31% reduction in the RMS error for the predicted (17)O C ( q ) values relative to standard plane-wave methods using a carefully constructed test set comprised of 22 oxygen-containing molecular crystals. We show comparable improvements in accuracy using five different hybrid density functionals and find predicted C ( q ) values to be relatively insensitive to the choice of basis set used in the single molecule calculation. Finally, the utility of high-accuracy (17)O C ( q ) predictions is demonstrated by examining the disordered 4-Nitrobenzaldehyde crystal structure.
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spelling pubmed-85297032021-10-22 Fast and Accurate Electric Field Gradient Calculations in Molecular Solids With Density Functional Theory Hartman, Joshua D. Mathews, Amanda Harper, James K. Front Chem Chemistry Modern approaches for calculating electric field gradient (EFF) tensors in molecular solids rely upon plane-wave calculations employing periodic boundary conditions (PBC). In practice, models employing PBCs are limited to generalized gradient approximation (GGA) density functionals. Hybrid density functionals applied in the context of gauge-including atomic orbital (GIAO) calculations have been shown to substantially improve the accuracy of predicted NMR parameters. Here we propose an efficient method that effectively combines the benefits of both periodic calculations and single-molecule techniques for predicting electric field gradient tensors in molecular solids. Periodic calculations using plane-wave basis sets were used to model the crystalline environment. We then introduce a molecular correction to the periodic result obtained from a single-molecule calculation performed with a hybrid density functional. Single-molecule calculations performed using hybrid density functionals were found to significantly improve the agreement of predicted (17)O quadrupolar coupling constants (C ( q )) with experiment. We demonstrate a 31% reduction in the RMS error for the predicted (17)O C ( q ) values relative to standard plane-wave methods using a carefully constructed test set comprised of 22 oxygen-containing molecular crystals. We show comparable improvements in accuracy using five different hybrid density functionals and find predicted C ( q ) values to be relatively insensitive to the choice of basis set used in the single molecule calculation. Finally, the utility of high-accuracy (17)O C ( q ) predictions is demonstrated by examining the disordered 4-Nitrobenzaldehyde crystal structure. Frontiers Media S.A. 2021-10-07 /pmc/articles/PMC8529703/ /pubmed/34692646 http://dx.doi.org/10.3389/fchem.2021.751711 Text en Copyright © 2021 Hartman, Mathews and Harper. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Hartman, Joshua D.
Mathews, Amanda
Harper, James K.
Fast and Accurate Electric Field Gradient Calculations in Molecular Solids With Density Functional Theory
title Fast and Accurate Electric Field Gradient Calculations in Molecular Solids With Density Functional Theory
title_full Fast and Accurate Electric Field Gradient Calculations in Molecular Solids With Density Functional Theory
title_fullStr Fast and Accurate Electric Field Gradient Calculations in Molecular Solids With Density Functional Theory
title_full_unstemmed Fast and Accurate Electric Field Gradient Calculations in Molecular Solids With Density Functional Theory
title_short Fast and Accurate Electric Field Gradient Calculations in Molecular Solids With Density Functional Theory
title_sort fast and accurate electric field gradient calculations in molecular solids with density functional theory
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529703/
https://www.ncbi.nlm.nih.gov/pubmed/34692646
http://dx.doi.org/10.3389/fchem.2021.751711
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