Automated chemical resonance generation and structure filtration for kinetic modeling
This work discusses efficient and automated methods for constructing a set of representative resonance structures for arbitrary chemical species, including radicals and biradicals, consisting of the elements H, C, O, N, and S. Determining the representative reactive structures of chemical species is...
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          | Published in | International journal of chemical kinetics Vol. 51; no. 10; pp. 760 - 776 | 
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| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Hoboken
          Wiley Subscription Services, Inc
    
        01.10.2019
     Wiley Blackwell (John Wiley & Sons)  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0538-8066 1097-4601 1097-4601  | 
| DOI | 10.1002/kin.21307 | 
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| Summary: | This work discusses efficient and automated methods for constructing a set of representative resonance structures for arbitrary chemical species, including radicals and biradicals, consisting of the elements H, C, O, N, and S. Determining the representative reactive structures of chemical species is crucial for identification of reactive sites and consequently applying the correct reaction templates to generate the set of important reactions during automated chemical kinetic model generation. We describe a fundamental set of resonance pathway types, accounting for simple resonating structures, as well as global approaches for polycyclic aromatic species. Automatically discovering potential localized structures along with filtration to identify the representative structures was shown to be robust and relatively fast. The algorithms discussed here were recently implemented in the Reaction Mechanism Generator (RMG) software. The final structures proposed by this method were found to be in reasonable agreement with quantum chemical computation results of localized structure contributions to the resonance hybrid. | 
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 USDOE  | 
| ISSN: | 0538-8066 1097-4601 1097-4601  | 
| DOI: | 10.1002/kin.21307 |