Recent advances in knowledge discovery for heterogeneous catalysis using machine learning

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dc.authoridGünay, M. Erdem/0000-0003-1282-718X
dc.authorwosidGünay, M. Erdem/I-1564-2019
dc.contributor.authorGunay, M. Erdem
dc.contributor.authorYildirim, Ramazan
dc.date.accessioned2024-07-18T20:55:10Z
dc.date.available2024-07-18T20:55:10Z
dc.date.issued2021
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractThe use of machine learning (ML) in catalysis has been significantly increased in recent years due to the astonishing developments in data processing technologies and the accumulation of a large amount of data in published literature and databases. The data generated in house or extracted from external sources have been analyzed using various ML techniques to see patterns, develop models for prediction and deduce heuristic rules for the future. This communication aims to review the works involving knowledge discovery in catalysis using ML techniques; the basic principles, common tools and implementation of ML in catalysis are also summarized.en_US
dc.identifier.doi10.1080/01614940.2020.1770402
dc.identifier.endpage164en_US
dc.identifier.issn0161-4940
dc.identifier.issn1520-5703
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85086785632en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage120en_US
dc.identifier.urihttps://doi.org/10.1080/01614940.2020.1770402
dc.identifier.urihttps://hdl.handle.net/11411/8756
dc.identifier.volume63en_US
dc.identifier.wosWOS:000542999200001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofCatalysis Reviews-Science and Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMachine Learningen_US
dc.subjectData Miningen_US
dc.subjectKnowledge Extractionen_US
dc.subjectMeta-Analysisen_US
dc.subjectCatalysisen_US
dc.subjectArtificial Neural-Networken_US
dc.subjectSelective Co Oxidationen_US
dc.subjectMetal-Organic Frameworksen_US
dc.subjectDecision Tree Analysisen_US
dc.subjectGas Shift Reactionen_US
dc.subjectHigh-Performanceen_US
dc.subjectStatistical-Analysisen_US
dc.subjectNi/Al2o3 Catalystsen_US
dc.subjectPast Publicationsen_US
dc.subjectMethaneen_US
dc.titleRecent advances in knowledge discovery for heterogeneous catalysis using machine learningen_US
dc.typeReview Articleen_US

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