Yayın: Computational modeling of magnetic properties and glass forming ability of bulk amorphous materials
Dosyalar
Tarih
Kurum Yazarları
Kabaer, Mehmet
Ovalıoğlu, Hüseyin
Küçük, İlker Semih
Yazarlar
Danışman
Dil
Türü
Yayıncı:
Polish Acad Sciences Inst Physics
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Özet
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
Açıklama
Bu çalışma, 06-09 Haziran 2010 tarihleri arasında Kosice[Slovakya]’de düzenlenen 14. Czech and Slovak Conference on Magnetism’da bildiri olarak sunulmuştur.
Kaynak:
Anahtar Kelimeler:
Konusu
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
Alıntı
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.