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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