1 Ocak 2011 Dergi makalesi Açık Erişim

Sozeri, Huseyin; Kucuk, Ilker; Ozkan, Husnu

Citation Style Language JSON

{
  "DOI": "10.1007/s10948-010-0937-z", 
  "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.", 
  "author": [
    {
      "family": "Sozeri", 
      "given": " Huseyin"
    }, 
    {
      "family": "Kucuk", 
      "given": " Ilker"
    }, 
    {
      "family": "Ozkan", 
      "given": " Husnu"
    }
  ], 
  "container_title": "JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM", 
  "id": "92243", 
  "issue": "1-2", 
  "issued": {
    "date-parts": [
      [
        2011, 
        1, 
        1
      ]
    ]
  }, 
  "page": "683-687", 
  "title": "Phase Identification of La-Doped Hard Magnetic Barium Ferrite Using Artificial Neural Network", 
  "type": "article-journal", 
  "volume": "24"
}