Cargando…
Prediction of stable radon fluoride molecules and geometry optimization using first-principles calculations
Noble gases possess extremely low reactivity because their valence shells are closed. However, previous studies have suggested that these gases can form molecules when they combine with other elements with high electron affinity, such as fluorine. Radon is a naturally occurring radioactive noble gas...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938903/ https://www.ncbi.nlm.nih.gov/pubmed/36801928 http://dx.doi.org/10.1038/s41598-023-29313-5 |
_version_ | 1784890732901826560 |
---|---|
author | Kang, Jaeeun Park, Ina Shim, Ji Hoon Kim, Duck Young Um, Wooyong |
author_facet | Kang, Jaeeun Park, Ina Shim, Ji Hoon Kim, Duck Young Um, Wooyong |
author_sort | Kang, Jaeeun |
collection | PubMed |
description | Noble gases possess extremely low reactivity because their valence shells are closed. However, previous studies have suggested that these gases can form molecules when they combine with other elements with high electron affinity, such as fluorine. Radon is a naturally occurring radioactive noble gas, and the formation of radon-fluorine molecules is of significant interest owing to its potential application in future technologies that address environmental radioactivity. Nevertheless, because all isotopes of radon are radioactive and the longest radon half-life is only 3.82 days, experiments on radon chemistry have been limited. Here, we study the formation of radon molecules using first-principles calculations; additionally, possible compositions of radon fluorides are predicted using a crystal structure prediction approach. Similar to xenon fluorides, di-, tetra-, and hexafluorides are found to be stabilized. Coupled-cluster calculations reveal that RnF(6) stabilizes with O(h) point symmetry, unlike XeF(6) with C(3v) symmetry. Moreover, we provide the vibrational spectra of our predicted radon fluorides as a reference. The molecular stability of radon di-, tetra-, and hexafluoride obtained through calculations may lead to advances in radon chemistry. |
format | Online Article Text |
id | pubmed-9938903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99389032023-02-20 Prediction of stable radon fluoride molecules and geometry optimization using first-principles calculations Kang, Jaeeun Park, Ina Shim, Ji Hoon Kim, Duck Young Um, Wooyong Sci Rep Article Noble gases possess extremely low reactivity because their valence shells are closed. However, previous studies have suggested that these gases can form molecules when they combine with other elements with high electron affinity, such as fluorine. Radon is a naturally occurring radioactive noble gas, and the formation of radon-fluorine molecules is of significant interest owing to its potential application in future technologies that address environmental radioactivity. Nevertheless, because all isotopes of radon are radioactive and the longest radon half-life is only 3.82 days, experiments on radon chemistry have been limited. Here, we study the formation of radon molecules using first-principles calculations; additionally, possible compositions of radon fluorides are predicted using a crystal structure prediction approach. Similar to xenon fluorides, di-, tetra-, and hexafluorides are found to be stabilized. Coupled-cluster calculations reveal that RnF(6) stabilizes with O(h) point symmetry, unlike XeF(6) with C(3v) symmetry. Moreover, we provide the vibrational spectra of our predicted radon fluorides as a reference. The molecular stability of radon di-, tetra-, and hexafluoride obtained through calculations may lead to advances in radon chemistry. Nature Publishing Group UK 2023-02-18 /pmc/articles/PMC9938903/ /pubmed/36801928 http://dx.doi.org/10.1038/s41598-023-29313-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kang, Jaeeun Park, Ina Shim, Ji Hoon Kim, Duck Young Um, Wooyong Prediction of stable radon fluoride molecules and geometry optimization using first-principles calculations |
title | Prediction of stable radon fluoride molecules and geometry optimization using first-principles calculations |
title_full | Prediction of stable radon fluoride molecules and geometry optimization using first-principles calculations |
title_fullStr | Prediction of stable radon fluoride molecules and geometry optimization using first-principles calculations |
title_full_unstemmed | Prediction of stable radon fluoride molecules and geometry optimization using first-principles calculations |
title_short | Prediction of stable radon fluoride molecules and geometry optimization using first-principles calculations |
title_sort | prediction of stable radon fluoride molecules and geometry optimization using first-principles calculations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938903/ https://www.ncbi.nlm.nih.gov/pubmed/36801928 http://dx.doi.org/10.1038/s41598-023-29313-5 |
work_keys_str_mv | AT kangjaeeun predictionofstableradonfluoridemoleculesandgeometryoptimizationusingfirstprinciplescalculations AT parkina predictionofstableradonfluoridemoleculesandgeometryoptimizationusingfirstprinciplescalculations AT shimjihoon predictionofstableradonfluoridemoleculesandgeometryoptimizationusingfirstprinciplescalculations AT kimduckyoung predictionofstableradonfluoridemoleculesandgeometryoptimizationusingfirstprinciplescalculations AT umwooyong predictionofstableradonfluoridemoleculesandgeometryoptimizationusingfirstprinciplescalculations |