Computational Modeling of Magnetic Properties and Glass Forming Ability of Bulk Amorphous Materials
M. Kabaer, H. Ovalioglu and I. Kucuk
Physics Department, Faculty of Arts and Sciences, Uludag University, Gorukle Campus 16059, Bursa, Turkey
Full Text PDF
A model based on artificial neural network was designed for the simulation and estimation of glass forming ability parameters and saturation magnetization and coercivity of bulk glassy alloys. Its performance is evaluated by the influences of different kinds of alloys and elements on the glass forming ability and magnetic properties. The values of glass forming ability parameters and saturation magnetization and coercivity values estimated by artificial neural network agree well with the experimental values, indicating that the model is reliable and adequate.
DOI: 10.12693/APhysPolA.118.827
PACS numbers: 64.70.pe, 84.35.+i, 75.50.Vv, 75.50.Kj