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A flexible transition state searching method for atmospheric reaction systems.

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Title: A flexible transition state searching method for atmospheric reaction systems.
Authors: Lin, Xiao-Xiao1, Liu, Yi-Rong1, Huang, Teng1, Chen, Jiao1, Jiang, Shuai1, Huang, Wei1,2 huangwei6@ustc.edu.cn
Source: Chemical Physics. Apr2015, Vol. 450, p21-31. 11p.
Subjects: Transition state theory (Chemistry), Chemical reactions, Chemical kinetics, Monte Carlo method
Abstract: The precise and rapid exploration of transition states (TSs) is a major challenge when studying atmospheric reactions due to their complexity. In this work, a Monte Carlo Transition State Search Method (MCTSSM), which integrates Monte Carlo sampling technique with transition state optimization methods using an efficient computer script, has been developed for transition state searches. The efficiency and the potential application in atmospheric reactions of this method have been demonstrated by three types of test suits related to the reactions of atmospheric volatile organic compounds (VOCs): (1) OH addition, (2) OH hydrogen-abstraction, and (3) the other reactive group (e.g. Cl, O 3 , NO 3 ), especially for the reaction of β-pinene-sCI (stabilized Criegee Intermediates) with water. It was shown that the application of this method with effective restricted parameters has greatly simplified the time-consuming and tedious manual search procedure for transition state (TS) of the bimolecular reaction systems. [ABSTRACT FROM AUTHOR]
Copyright of Chemical Physics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 101944020
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  Data: A flexible transition state searching method for atmospheric reaction systems.
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  Data: <searchLink fieldCode="JN" term="%22Chemical+Physics%22">Chemical Physics</searchLink>. Apr2015, Vol. 450, p21-31. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Transition+state+theory+%28Chemistry%29%22">Transition state theory (Chemistry)</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+reactions%22">Chemical reactions</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+kinetics%22">Chemical kinetics</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink>
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  Data: The precise and rapid exploration of transition states (TSs) is a major challenge when studying atmospheric reactions due to their complexity. In this work, a Monte Carlo Transition State Search Method (MCTSSM), which integrates Monte Carlo sampling technique with transition state optimization methods using an efficient computer script, has been developed for transition state searches. The efficiency and the potential application in atmospheric reactions of this method have been demonstrated by three types of test suits related to the reactions of atmospheric volatile organic compounds (VOCs): (1) OH addition, (2) OH hydrogen-abstraction, and (3) the other reactive group (e.g. Cl, O 3 , NO 3 ), especially for the reaction of β-pinene-sCI (stabilized Criegee Intermediates) with water. It was shown that the application of this method with effective restricted parameters has greatly simplified the time-consuming and tedious manual search procedure for transition state (TS) of the bimolecular reaction systems. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Chemical Physics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.chemphys.2015.02.002
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        Text: English
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      – SubjectFull: Chemical reactions
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      – SubjectFull: Chemical kinetics
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      – SubjectFull: Monte Carlo method
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              Text: Apr2015
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