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Determination of chemisorption probabilities of hydrogen molecules on a nickel surface by Artificial Neural Network

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dc.contributor.author Böyükata, Mustafa
dc.contributor.author Koçyiğit, Yücel
dc.contributor.author Güvenç, Büşra
dc.date.accessioned 2016-04-12T12:20:37Z
dc.date.available 2016-04-12T12:20:37Z
dc.date.issued 2008-06
dc.identifier.citation Böyükata, M., Koçyiğit, Y., Güvenç, Z.B. (2008). Determination of chemisorption probabilities of hydrogen molecules on a nickel surface by Artificial Neural Network. Croatica Chemica Acta, 81(2), 305-310. tr_TR
dc.identifier.issn 0011-1643
dc.identifier.uri http://hdl.handle.net/20.500.12416/902
dc.description.abstract Dissociative chemisorption probabilities for H(2)(v, j) + Ni(100) collision systems have been estimated by using Artificial Neural Network (ANN). For training, previously determined probability values via molecular dynamics simulations have been used. Performance of the ANN, for predicting any quantities in the molecule-surface interaction, has been investigated. Effects of the surface sites and the rovibrational states of the molecule on the process are analyzed. The results are in good agreement with the related previous studies tr_TR
dc.language.iso eng tr_TR
dc.publisher Croatian Chemical Soc tr_TR
dc.rights info:eu-repo/semantics/openAccess
dc.subject Artificial Neural Networks tr_TR
dc.subject Molecular Dynamics tr_TR
dc.subject Hydrogen Molecule tr_TR
dc.subject Nickel Surface tr_TR
dc.subject Molecule-Surface tr_TR
dc.subject Surface Chemisorption tr_TR
dc.title Determination of chemisorption probabilities of hydrogen molecules on a nickel surface by Artificial Neural Network tr_TR
dc.type article tr_TR
dc.relation.journal Croatica Chemica Acta tr_TR
dc.contributor.authorID 120207 tr_TR
dc.contributor.authorID 53469 tr_TR
dc.identifier.volume 81 tr_TR
dc.identifier.issue 2 tr_TR
dc.identifier.startpage 305 tr_TR
dc.identifier.endpage 310 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği tr_TR


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