Design and Optimization of Catalysts Based on Mechanistic Insights Derived from Quantum Chemical Reaction Modeling

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dc.contributor.authorAhn, Seihwanko
dc.contributor.authorHong, Mannkyuko
dc.contributor.authorSundararajan, Maheshko
dc.contributor.authorEss, Daniel H.ko
dc.contributor.authorBaik, Mu-Hyunko
dc.date.accessioned2019-07-08T07:10:28Z-
dc.date.available2019-07-08T07:10:28Z-
dc.date.created2019-07-01-
dc.date.created2019-07-01-
dc.date.created2019-07-01-
dc.date.issued2019-06-
dc.identifier.citationCHEMICAL REVIEWS, v.119, no.11, pp.6509 - 6560-
dc.identifier.issn0009-2665-
dc.identifier.urihttp://hdl.handle.net/10203/263095-
dc.description.abstractUntil recently, computational tools were mainly used to explain chemical reactions after experimental results were obtained. With the rapid development of software and hardware technologies to make computational modeling tools more reliable, they can now provide valuable insights and even become predictive. In this review, we highlighted several studies involving computational predictions of unexpected reactivities or providing mechanistic insights for organic and organometallic reactions that led to improved experimental results. Key to these successful applications is an integration between theory and experiment that allows for incorporation of empirical knowledge with precise computed values. Computer modeling of chemical reactions is already a standard tool that is being embraced by an ever increasing group of researchers, and it is clear that its utility in predictive reaction design will increase further in the near future.-
dc.languageEnglish-
dc.publisherAMER CHEMICAL SOC-
dc.titleDesign and Optimization of Catalysts Based on Mechanistic Insights Derived from Quantum Chemical Reaction Modeling-
dc.typeArticle-
dc.identifier.wosid000471835200002-
dc.identifier.scopusid2-s2.0-85066914779-
dc.type.rimsART-
dc.citation.volume119-
dc.citation.issue11-
dc.citation.beginningpage6509-
dc.citation.endingpage6560-
dc.citation.publicationnameCHEMICAL REVIEWS-
dc.identifier.doi10.1021/acs.chemrev.9b00073-
dc.contributor.localauthorBaik, Mu-Hyun-
dc.contributor.nonIdAuthorSundararajan, Mahesh-
dc.contributor.nonIdAuthorEss, Daniel H.-
dc.description.isOpenAccessN-
dc.type.journalArticleReview-
dc.subject.keywordPlusC-H BORYLATION-
dc.subject.keywordPlusN-HETEROCYCLIC CARBENE-
dc.subject.keywordPlusDENSITY-FUNCTIONAL THEORY-
dc.subject.keywordPlusWATER-OXIDATION CATALYSIS-
dc.subject.keywordPlusCROSS-COUPLING REACTIONS-
dc.subject.keywordPlusBAEYER-VILLIGER TRANSFORMATIONS-
dc.subject.keywordPlusELECTROCATALYTIC CO2 REDUCTION-
dc.subject.keywordPlusRESONANCE RAMAN-SPECTROSCOPY-
dc.subject.keywordPlusCOMPUTATIONAL LIGAND DESIGN-
dc.subject.keywordPlusBOND-DISSOCIATION ENERGIES-
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