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Estimation of cross sections for molecule-cluster interactions by using artificial neural networks

dc.contributor.author Böyükata, Mustafa
dc.contributor.author Koçyiğit, Yücel
dc.contributor.author Güvenç, Büşra
dc.contributor.authorID 120207 tr_TR
dc.contributor.authorID 53469 tr_TR
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2016-03-31T07:49:05Z
dc.date.available 2016-03-31T07:49:05Z
dc.date.issued 2006
dc.description.abstract The cross sections Of D(2) (v,j) + Ni(n) (T), n = 19 and 20, collision systems have been estimated by using Artificial Neural Networks (ANNs). For training, previously determined cross section values via molecular dynamics simulation have been used. The performance of the ANNs for predicting any quantities in molecule-cluster interaction has been investigated. Effects of the temperature of the clusters and the rovibrational states of the molecule are analyzed. The results are in good agreement with previous studies. en_US
dc.description.publishedMonth 9
dc.identifier.citation Böyükata, M., Koçyiğit, Y., Güvenç, Z.B. (2006). Estimation of cross sections for molecule-cluster interactions by using artificial neural networks. Brazilian Journal of Physics, 36(3A), 730-735 en_US
dc.identifier.issn 0103-9733
dc.identifier.uri https://hdl.handle.net/20.500.12416/786
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartof Brazilian Journal of Physics en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Artificial Neural Networks en_US
dc.subject Molecular Dynamics en_US
dc.subject Clusters en_US
dc.subject Reactivity en_US
dc.title Estimation of cross sections for molecule-cluster interactions by using artificial neural networks tr_TR
dc.title Estimation of Cross Sections for Molecule-Cluster Interactions by Using Artificial Neural Networks en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.description.department Çankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği en_US
gdc.description.endpage 735 en_US
gdc.description.issue 3A en_US
gdc.description.startpage 730 en_US
gdc.description.volume 36 en_US
relation.isOrgUnitOfPublication 0b9123e4-4136-493b-9ffd-be856af2cdb1
relation.isOrgUnitOfPublication.latestForDiscovery 0b9123e4-4136-493b-9ffd-be856af2cdb1

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