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Prediction of Gas Storage Capacities in Metal Organic Frameworks Using Artificial Neural Network

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dc.authorscopusid56511715400
dc.authorscopusid56511466800
dc.contributor.authorYıldız Uzun, Z.
dc.contributor.authorUzun, H.
dc.date.accessioned2020-06-21T13:46:43Z
dc.date.available2020-06-21T13:46:43Z
dc.date.issued2015
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Yıldız Uzun] Zeynep, Department of Chemical Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Uzun] Harun, Department of Chemical Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractIn this study, artificial neural network was developed to forecast adsorption capacity of hydrogen gas in metal organic frameworks. Surface area, adsorption enthalpy, temperature and pressure were selected as input parameters. Hydrogen storage capacities of MOFs were computed using these four parameters. An artificial neural network was used to model the adsorption process. The prediction results were remarkably agreed with the experimental data. © 2015 Elsevier Inc. All rights reserved.en_US
dc.identifier.doi10.1016/j.micromeso.2015.01.037
dc.identifier.endpage54en_US
dc.identifier.issn1387-1811
dc.identifier.scopus2-s2.0-84922552123
dc.identifier.scopusqualityQ1
dc.identifier.startpage50en_US
dc.identifier.urihttps://doi.org/10.1016/j.micromeso.2015.01.037
dc.identifier.volume208en_US
dc.identifier.wosWOS:000352927000006
dc.identifier.wosqualityQ2
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofMicroporous and Mesoporous Materialsen_US
dc.relation.journalMicroporous and Mesoporous Materialsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAdsorptionen_US
dc.subjectArtificial Neural Networken_US
dc.subjectGas Storageen_US
dc.subjectMOFsen_US
dc.titlePrediction of Gas Storage Capacities in Metal Organic Frameworks Using Artificial Neural Networken_US
dc.typeArticleen_US
dspace.entity.typePublication

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