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Density functional theory-based electric field gradient database

The deviation of the electron density around the nuclei from spherical symmetry determines the electric field gradient (EFG), which can be measured by various types of spectroscopy. Nuclear Quadrupole Resonance (NQR) is particularly sensitive to the EFG. The EFGs, and by implication NQR frequencies,...

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Autores principales: Choudhary, Kamal, Ansari, Jaafar N., Mazin, Igor I., Sauer, Karen L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578653/
https://www.ncbi.nlm.nih.gov/pubmed/33087719
http://dx.doi.org/10.1038/s41597-020-00707-8
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author Choudhary, Kamal
Ansari, Jaafar N.
Mazin, Igor I.
Sauer, Karen L.
author_facet Choudhary, Kamal
Ansari, Jaafar N.
Mazin, Igor I.
Sauer, Karen L.
author_sort Choudhary, Kamal
collection PubMed
description The deviation of the electron density around the nuclei from spherical symmetry determines the electric field gradient (EFG), which can be measured by various types of spectroscopy. Nuclear Quadrupole Resonance (NQR) is particularly sensitive to the EFG. The EFGs, and by implication NQR frequencies, vary dramatically across materials. Consequently, searching for NQR spectral lines in previously uninvestigated materials represents a major challenge. Calculated EFGs can significantly aid at the search’s inception. To facilitate this task, we have applied high-throughput density functional theory calculations to predict EFGs for 15187 materials in the JARVIS-DFT database. This database, which will include EFG as a standard entry, is continuously increasing. Given the large scope of the database, it is impractical to verify each calculation. However, we assess accuracy by singling out cases for which reliable experimental information is readily available and compare them to the calculations. We further present a statistical analysis of the results. The database and tools associated with our work are made publicly available by JARVIS-DFT (https://www.ctcms.nist.gov/~knc6/JVASP.html) and NIST-JARVIS API (http://jarvis.nist.gov/).
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spelling pubmed-75786532020-10-23 Density functional theory-based electric field gradient database Choudhary, Kamal Ansari, Jaafar N. Mazin, Igor I. Sauer, Karen L. Sci Data Data Descriptor The deviation of the electron density around the nuclei from spherical symmetry determines the electric field gradient (EFG), which can be measured by various types of spectroscopy. Nuclear Quadrupole Resonance (NQR) is particularly sensitive to the EFG. The EFGs, and by implication NQR frequencies, vary dramatically across materials. Consequently, searching for NQR spectral lines in previously uninvestigated materials represents a major challenge. Calculated EFGs can significantly aid at the search’s inception. To facilitate this task, we have applied high-throughput density functional theory calculations to predict EFGs for 15187 materials in the JARVIS-DFT database. This database, which will include EFG as a standard entry, is continuously increasing. Given the large scope of the database, it is impractical to verify each calculation. However, we assess accuracy by singling out cases for which reliable experimental information is readily available and compare them to the calculations. We further present a statistical analysis of the results. The database and tools associated with our work are made publicly available by JARVIS-DFT (https://www.ctcms.nist.gov/~knc6/JVASP.html) and NIST-JARVIS API (http://jarvis.nist.gov/). Nature Publishing Group UK 2020-10-21 /pmc/articles/PMC7578653/ /pubmed/33087719 http://dx.doi.org/10.1038/s41597-020-00707-8 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Choudhary, Kamal
Ansari, Jaafar N.
Mazin, Igor I.
Sauer, Karen L.
Density functional theory-based electric field gradient database
title Density functional theory-based electric field gradient database
title_full Density functional theory-based electric field gradient database
title_fullStr Density functional theory-based electric field gradient database
title_full_unstemmed Density functional theory-based electric field gradient database
title_short Density functional theory-based electric field gradient database
title_sort density functional theory-based electric field gradient database
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578653/
https://www.ncbi.nlm.nih.gov/pubmed/33087719
http://dx.doi.org/10.1038/s41597-020-00707-8
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