Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/28342
Title: Computational modeling of magnetic properties and glass forming ability of bulk amorphous materials
Authors: Uludağ Üniversitesi/Fen-Edebiyat Fakültesi/Fizik Bölümü.
Kabaer, Mehmet
Ovalıoğlu, Hüseyin
Küçük, İlker Semih
36523051800
24460278400
6602910810
Keywords: Metallic glasses
Neural-network
Alloys
Formability
TI
Physics
Coercive force
Glass
Neural networks
Parameter estimation
Bulk amorphous materials
Bulk glassy alloy
Computational model
Experimental values
Glass forming ability
Glass forming ability parameters
Model-based OPC
Saturation magnetization
Issue Date: Nov-2010
Publisher: Polish Acad Sciences Inst Physics
Citation: Kabaer, M. vd. (2010). "Computational modeling of magnetic properties and glass forming ability of bulk amorphous materials". Acta Physica Polonica A, 118(5), 827-828.
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
Description: Bu çalışma, 06-09 Haziran 2010 tarihleri arasında Kosice[Slovakya]’de düzenlenen 14. Czech and Slovak Conference on Magnetism’da bildiri olarak sunulmuştur.
URI: https://doi.org/10.12693/APhysPolA.118.827
http://przyrbwn.icm.edu.pl/APP/PDF/118/a118z5p047.pdf
http://hdl.handle.net/11452/28342
ISSN: 0587-4246
1898-794X
Appears in Collections:Scopus
Web of Science

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