Computational modeling of glass forming ability and critical diameter of magnetic bulk amorphous alloys

Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/25110

Title:	Computational modeling of glass forming ability and critical diameter of magnetic bulk amorphous alloys
Authors:	Uludağ Üniversitesi/Fen-Edebiyat Fakültesi/Fizik Anabilim Dalı. Kabaer, Mehmet Küçük, İlker Semih 36523051800 6602910810
Keywords:	Physics Magnetic bulk amorphous alloys Glass forming ability Neural network Metallic glasses Neural-network Nb Formability Cores Fe Hf Ti Alloys Cerium alloys Genetic algorithms Glass Neural networks Artificial neural network Bulk amorphous alloys Chemical compositions Computational modeling Critical diameter Glass forming ability Levenberg-Marquardt algorithm Amorphous alloys
Issue Date:	Jan-2011
Publisher:	Springer
Citation:	Kabaer, M. vd. (2011). "Computational modeling of glass forming ability and critical diameter of magnetic bulk amorphous alloys". Journal of Superconductivity and Novel Magnetism, 24(1-2), 693-697.
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.
URI:	https://doi.org/10.1007/s10948-010-0939-x http://hdl.handle.net/11452/25110
ISSN:	1557-1939 1557-1947
Appears in Collections:	Web of Science

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