Computational modeling of magnetic properties and glass forming ability of bulk amorphous materials

Abstract

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