Computational Modeling of Glass Forming Ability and Critical Diameter of Magnetic Bulk Amorphous Alloys
JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM, vol.24, pp.693-697, 2011 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 24
- Publication Date: 2011
- Doi Number: 10.1007/s10948-010-0939-x
- Journal Name: JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.693-697
- Bursa Uludag University Affiliated: Yes
Abstract
This paper presents a new approach based on an artificial neural network (ANN) and a genetic algorithm to compute the glass forming ability of magnetic bulk amorphous alloys using previously reported data in the literature. The developed network has been trained using the genetic algorithm and Levenberg-Marquardt algorithm. The model can assist in predicting the relation between the chemical compositions and the glass forming ability of magnetic bulk amorphous alloys.