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http://hdl.handle.net/11452/24515| Title: | Phase identification of La-doped hard magnetic barium ferrite using artificial neural network |
| Authors: | Özkan, Hüsnü Sözeri, Hüseyin Uludağ Üniversitesi/Fen-Edebiyat Fakültesi/Fizik Anabilim Dalı. Küçük, İlker Semih 6602910810 |
| Keywords: | Physics La doped Barium ferrites Hard magnetic materials Modeling Neural network BAFE12O19 Cores Ammonium compounds Barium Barium compounds Computer simulation Ferrite Ferrites Gyrators Magnetic materials Sintering X ray diffraction X ray powder diffraction Ammonium nitrate melt Artificial neural network Barium ferrites Experimental values Hard magnetic material Intensity values Model-based OPC Phase identification Sintering temperatures XRD patterns Neural networks |
| Issue Date: | Jan-2011 |
| Publisher: | Springer |
| Citation: | Sözeri, 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. |
| Abstract: | A 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. |
| URI: | https://doi.org/10.1007/s10948-010-0937-z https://aperta.ulakbim.gov.tr/record/92243#.Yfj7AepByM8 http://hdl.handle.net/11452/24515 |
| ISSN: | 1557-1939 |
| Appears in Collections: | Scopus Web of Science |
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