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Predicting the Ionic Product of Water
We present a first-principles calculation and mechanistic characterization of the ion product of liquid water (K (W)), based on Quantum Cluster Equilibrium (QCE) theory with a variety of ab initio and density functional methods. The QCE method is based on T-dependent Boltzmann weighting of different...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579052/ https://www.ncbi.nlm.nih.gov/pubmed/28860533 http://dx.doi.org/10.1038/s41598-017-10156-w |
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author | Perlt, Eva von Domaros, Michael Kirchner, Barbara Ludwig, Ralf Weinhold, Frank |
author_facet | Perlt, Eva von Domaros, Michael Kirchner, Barbara Ludwig, Ralf Weinhold, Frank |
author_sort | Perlt, Eva |
collection | PubMed |
description | We present a first-principles calculation and mechanistic characterization of the ion product of liquid water (K (W)), based on Quantum Cluster Equilibrium (QCE) theory with a variety of ab initio and density functional methods. The QCE method is based on T-dependent Boltzmann weighting of different-sized clusters and consequently enables the observation of thermodynamically less favored and therefore low populated species such as hydronium and hydroxide ions in water. We find that common quantum chemical methods achieve semi-quantitative accuracy in predicting K (W) and its T-dependence. Dominant ion-pair water clusters of the QCE equilibrium distribution are found to exhibit stable 2-coordinate buttress-type motifs, all with maximally Grotthus-ordered H-bond patterns that successfully prevent recombination of hydronium and hydroxide ions at 3-coordinate bridgehead sites. We employ standard quantum chemistry techniques to describe kinetic and mechanistic aspects of ion-pair formation, and we obtain NBO-based bonding indices to characterize other electronic, structural, spectroscopic, and reactive properties of cluster-mediated ionic dissociation. |
format | Online Article Text |
id | pubmed-5579052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55790522017-09-06 Predicting the Ionic Product of Water Perlt, Eva von Domaros, Michael Kirchner, Barbara Ludwig, Ralf Weinhold, Frank Sci Rep Article We present a first-principles calculation and mechanistic characterization of the ion product of liquid water (K (W)), based on Quantum Cluster Equilibrium (QCE) theory with a variety of ab initio and density functional methods. The QCE method is based on T-dependent Boltzmann weighting of different-sized clusters and consequently enables the observation of thermodynamically less favored and therefore low populated species such as hydronium and hydroxide ions in water. We find that common quantum chemical methods achieve semi-quantitative accuracy in predicting K (W) and its T-dependence. Dominant ion-pair water clusters of the QCE equilibrium distribution are found to exhibit stable 2-coordinate buttress-type motifs, all with maximally Grotthus-ordered H-bond patterns that successfully prevent recombination of hydronium and hydroxide ions at 3-coordinate bridgehead sites. We employ standard quantum chemistry techniques to describe kinetic and mechanistic aspects of ion-pair formation, and we obtain NBO-based bonding indices to characterize other electronic, structural, spectroscopic, and reactive properties of cluster-mediated ionic dissociation. Nature Publishing Group UK 2017-08-31 /pmc/articles/PMC5579052/ /pubmed/28860533 http://dx.doi.org/10.1038/s41598-017-10156-w Text en © The Author(s) 2017 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/. |
spellingShingle | Article Perlt, Eva von Domaros, Michael Kirchner, Barbara Ludwig, Ralf Weinhold, Frank Predicting the Ionic Product of Water |
title | Predicting the Ionic Product of Water |
title_full | Predicting the Ionic Product of Water |
title_fullStr | Predicting the Ionic Product of Water |
title_full_unstemmed | Predicting the Ionic Product of Water |
title_short | Predicting the Ionic Product of Water |
title_sort | predicting the ionic product of water |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579052/ https://www.ncbi.nlm.nih.gov/pubmed/28860533 http://dx.doi.org/10.1038/s41598-017-10156-w |
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