Developing global reaction rate model for CO oxidation over Au catalysts from past data in literature using artificial neural networks

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dc.authoridGünay, M. Erdem/0000-0003-1282-718X|YILDIRIM, RAMAZAN/0000-0001-5077-5689
dc.authorwosidGünay, M. Erdem/I-1564-2019
dc.authorwosidYILDIRIM, RAMAZAN/AAQ-4867-2020
dc.contributor.authorGunay, M. Erdem
dc.contributor.authorYildirim, Ramazan
dc.date.accessioned2024-07-18T20:42:29Z
dc.date.available2024-07-18T20:42:29Z
dc.date.issued2013
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractIn this work, the literature for CO oxidation kinetics over Au based catalysts was analyzed using artificial neural networks to test the possibility of developing global reaction rate models representing the entire literature. A database was constructed using the data obtained from nineteen papers published between the years 1997 and 2011; then, the reaction rate was modeled as a function of catalyst preparation and operational variables by using neural networks. Next, global reaction rate equations in the form of power law were developed for each support type by the help of the neural network model, and the order of reaction with respect to each reactant and the parameters of Arrhenius relation were estimated. These power law models were successfully validated by using the information reported in the literature; hence, it was concluded that they can be used for the initial estimation of the reaction rates in the absence of more specific rate equations. (C) 2013 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipScientific and Technical Research Council of Turkey [109M207]; Bogazici University [12A05M1]en_US
dc.description.sponsorshipThe financial supports provided by the Scientific and Technical Research Council of Turkey through Project 109M207 and Bogazici University Research Fund Project 12A05M1 are gratefully acknowledged.en_US
dc.identifier.doi10.1016/j.apcata.2013.08.056
dc.identifier.endpage402en_US
dc.identifier.issn0926-860X
dc.identifier.issn1873-3875
dc.identifier.scopus2-s2.0-84885016615en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage395en_US
dc.identifier.urihttps://doi.org/10.1016/j.apcata.2013.08.056
dc.identifier.urihttps://hdl.handle.net/11411/7288
dc.identifier.volume468en_US
dc.identifier.wosWOS:000327804200045en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Catalysis A-Generalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPower Law Modelen_US
dc.subjectReaction Kineticsen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectKnowledge Extractionen_US
dc.subjectCo Oxidationen_US
dc.subjectPreferential Oxidationen_US
dc.subjectKnowledge Extractionen_US
dc.subjectSelective Oxidationen_US
dc.subjectCarbon-Monoxideen_US
dc.subjectGolden_US
dc.subjectKineticsen_US
dc.subjectH-2en_US
dc.subjectPerformanceen_US
dc.subjectMethaneen_US
dc.subjectDesignen_US
dc.titleDeveloping global reaction rate model for CO oxidation over Au catalysts from past data in literature using artificial neural networksen_US
dc.typeArticleen_US

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