Özkan, HüsnüSözeri, Hüseyin2022-02-172022-02-172011-01Sözeri, 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), 683-687.1557-1939https://doi.org/10.1007/s10948-010-0937-zhttps://aperta.ulakbim.gov.tr/record/92243#.Yfj7AepByM8http://hdl.handle.net/11452/24515A 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.eninfo:eu-repo/semantics/closedAccessPhysicsLa dopedBarium ferritesHard magnetic materialsModelingNeural networkBAFE12O19CoresAmmonium compoundsBariumBarium compoundsComputer simulationFerriteFerritesGyratorsMagnetic materialsSinteringX ray diffractionX ray powder diffractionAmmonium nitrate meltArtificial neural networkBarium ferritesExperimental valuesHard magnetic materialIntensity valuesModel-based OPCPhase identificationSintering temperaturesXRD patternsNeural networksArticle0002898557001122-s2.0-80052180429683687241-2Physics, appliedPhysics, condensed matterBarium Hexaferrite; Dromaiidae; Ferrites