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Full-dimensional neural network potential energy surface and dynamics of the CH(2)OO + H(2)O reaction

An accurate global full-dimensional machine learning-based potential energy surface (PES) of the simplest Criegee intermediate (CH(2)OO) reaction with water monomer was developed based on the high level of extensive CCSD(T)-F12a/aug-cc-pVTZ calculations. This analytical global PES not only covers th...

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Autores principales: Wu, Hao, Fu, Yanlin, Dong, Wenrui, Fu, Bina, Zhang, Dong H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153484/
https://www.ncbi.nlm.nih.gov/pubmed/37143908
http://dx.doi.org/10.1039/d3ra02069j
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author Wu, Hao
Fu, Yanlin
Dong, Wenrui
Fu, Bina
Zhang, Dong H.
author_facet Wu, Hao
Fu, Yanlin
Dong, Wenrui
Fu, Bina
Zhang, Dong H.
author_sort Wu, Hao
collection PubMed
description An accurate global full-dimensional machine learning-based potential energy surface (PES) of the simplest Criegee intermediate (CH(2)OO) reaction with water monomer was developed based on the high level of extensive CCSD(T)-F12a/aug-cc-pVTZ calculations. This analytical global PES not only covers the regions of reactants to hydroxymethyl hydroperoxide (HMHP) intermediates, but also different end product channels, which facilities both the reliable and efficient kinetics and dynamics calculations. The rate coefficients calculated by the transition state theory with the interface to the full-dimensional PES agree well with the experimental results, indicating the accuracy of the current PES. Extensive quasi-classical trajectory (QCT) calculations were performed both from the bimolecular reaction CH(2)OO + H(2)O and from HMHP intermediate on the new PES. The product branching ratios of hydroxymethoxy radical (HOCH(2)O, HMO) + OH radical, formaldehyde (CH(2)O) + H(2)O(2) and formic acid (HCOOH) + H(2)O were calculated. The reaction yields dominantly HMO + OH, because of the barrierless pathway from HMHP to this channel. The computed dynamical results for this product channel show the total available energy was deposited into the internal rovibrational excitation of HMO, and the energy release in OH and translational energy is limited. The large amount of OH radical found in the current study implies that the CH(2)OO + H(2)O reaction can provide crucially OH yield in Earth's atmosphere.
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spelling pubmed-101534842023-05-03 Full-dimensional neural network potential energy surface and dynamics of the CH(2)OO + H(2)O reaction Wu, Hao Fu, Yanlin Dong, Wenrui Fu, Bina Zhang, Dong H. RSC Adv Chemistry An accurate global full-dimensional machine learning-based potential energy surface (PES) of the simplest Criegee intermediate (CH(2)OO) reaction with water monomer was developed based on the high level of extensive CCSD(T)-F12a/aug-cc-pVTZ calculations. This analytical global PES not only covers the regions of reactants to hydroxymethyl hydroperoxide (HMHP) intermediates, but also different end product channels, which facilities both the reliable and efficient kinetics and dynamics calculations. The rate coefficients calculated by the transition state theory with the interface to the full-dimensional PES agree well with the experimental results, indicating the accuracy of the current PES. Extensive quasi-classical trajectory (QCT) calculations were performed both from the bimolecular reaction CH(2)OO + H(2)O and from HMHP intermediate on the new PES. The product branching ratios of hydroxymethoxy radical (HOCH(2)O, HMO) + OH radical, formaldehyde (CH(2)O) + H(2)O(2) and formic acid (HCOOH) + H(2)O were calculated. The reaction yields dominantly HMO + OH, because of the barrierless pathway from HMHP to this channel. The computed dynamical results for this product channel show the total available energy was deposited into the internal rovibrational excitation of HMO, and the energy release in OH and translational energy is limited. The large amount of OH radical found in the current study implies that the CH(2)OO + H(2)O reaction can provide crucially OH yield in Earth's atmosphere. The Royal Society of Chemistry 2023-05-02 /pmc/articles/PMC10153484/ /pubmed/37143908 http://dx.doi.org/10.1039/d3ra02069j Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Wu, Hao
Fu, Yanlin
Dong, Wenrui
Fu, Bina
Zhang, Dong H.
Full-dimensional neural network potential energy surface and dynamics of the CH(2)OO + H(2)O reaction
title Full-dimensional neural network potential energy surface and dynamics of the CH(2)OO + H(2)O reaction
title_full Full-dimensional neural network potential energy surface and dynamics of the CH(2)OO + H(2)O reaction
title_fullStr Full-dimensional neural network potential energy surface and dynamics of the CH(2)OO + H(2)O reaction
title_full_unstemmed Full-dimensional neural network potential energy surface and dynamics of the CH(2)OO + H(2)O reaction
title_short Full-dimensional neural network potential energy surface and dynamics of the CH(2)OO + H(2)O reaction
title_sort full-dimensional neural network potential energy surface and dynamics of the ch(2)oo + h(2)o reaction
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153484/
https://www.ncbi.nlm.nih.gov/pubmed/37143908
http://dx.doi.org/10.1039/d3ra02069j
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