1. Açık Erişim@BUU
  2. İndeksli Yayınlar
  3. Web of Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/24515
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dc.contributor.authorÖzkan, Hüsnü-
dc.contributor.authorSözeri, Hüseyin-
dc.date.accessioned2022-02-17T10:33:09Z-
dc.date.available2022-02-17T10:33:09Z-
dc.date.issued2011-01-
dc.identifier.citationSözeri, H. vd.(2011). "Phase identification of La-doped hard magnetic barium ferrite using artificial neural network". Journal of Superconductivity and Novel Magnetism, 24(1-2), 683-687.en_US
dc.identifier.issn1557-1939-
dc.identifier.urihttps://doi.org/10.1007/s10948-010-0937-z-
dc.identifier.urihttps://aperta.ulakbim.gov.tr/record/92243#.Yfj7AepByM8-
dc.identifier.urihttp://hdl.handle.net/11452/24515-
dc.description.abstractA model based on an artificial neural network (ANN) was designed for the simulation and estimation of 2 theta and intensity values obtained by X-Ray Diffraction (XRD) of pure and La-doped barium ferrite powders which have been synthesized in ammonium nitrate melt. Its performance is evaluated by the influences of different La content, sintering temperature, Fe/Ba ratio, and washed in HCl (or not washed in HCl) samples. The XRD patterns of samples estimated by the ANN agree well with the experimental values, indicating that the model is reliable and adequate.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPhysicsen_US
dc.subjectLa dopeden_US
dc.subjectBarium ferritesen_US
dc.subjectHard magnetic materialsen_US
dc.subjectModelingen_US
dc.subjectNeural networken_US
dc.subjectBAFE12O19en_US
dc.subjectCoresen_US
dc.subjectAmmonium compoundsen_US
dc.subjectBariumen_US
dc.subjectBarium compoundsen_US
dc.subjectComputer simulationen_US
dc.subjectFerriteen_US
dc.subjectFerritesen_US
dc.subjectGyratorsen_US
dc.subjectMagnetic materialsen_US
dc.subjectSinteringen_US
dc.subjectX ray diffractionen_US
dc.subjectX ray powder diffractionen_US
dc.subjectAmmonium nitrate melten_US
dc.subjectArtificial neural networken_US
dc.subjectBarium ferritesen_US
dc.subjectExperimental valuesen_US
dc.subjectHard magnetic materialen_US
dc.subjectIntensity valuesen_US
dc.subjectModel-based OPCen_US
dc.subjectPhase identificationen_US
dc.subjectSintering temperaturesen_US
dc.subjectXRD patternsen_US
dc.subjectNeural networksen_US
dc.titlePhase identification of La-doped hard magnetic barium ferrite using artificial neural networken_US
dc.typeArticleen_US
dc.identifier.wos000289855700112tr_TR
dc.identifier.scopus2-s2.0-80052180429tr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.contributor.departmentUludağ Üniversitesi/Fen-Edebiyat Fakültesi/Fizik Anabilim Dalı.tr_TR
dc.identifier.startpage683tr_TR
dc.identifier.endpage687tr_TR
dc.identifier.volume24tr_TR
dc.identifier.issue1-2tr_TR
dc.relation.journalJournal of Superconductivity and Novel Magnetismen_US
dc.contributor.buuauthorKüçük, İlker Semih-
dc.relation.collaborationYurt içitr_TR
dc.relation.collaborationSanayitr_TR
dc.subject.wosPhysics, applieden_US
dc.subject.wosPhysics, condensed matteren_US
dc.indexed.wosSCIEen_US
dc.indexed.scopusScopusen_US
dc.wos.quartileQ4en_US
dc.contributor.scopusid6602910810tr_TR
dc.subject.scopusBarium Hexaferrite; Dromaiidae; Ferritesen_US
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