Regularities of melting behavior of some binary alloy phases. II. Computerized prediction of melting points of alloy phases

Melting point regularities of Laves phases, CsCl-type and AuCu sub 3 -type alloy phases have been investigated by use of an artificial neural network using atomic parameters and known data for the melting points of these alloy phases as inputs. The adjusted artificial neural network can be used for...

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Bibliographic Details
Published in:Journal of alloys and compounds 1996-02, Vol.234 (1), p.130-136
Main Authors: Nianyi, C, Chonghe, L, Shuwen, Y, Xueye, W
Format: Article
Language:English
Online Access:Get full text
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Summary:Melting point regularities of Laves phases, CsCl-type and AuCu sub 3 -type alloy phases have been investigated by use of an artificial neural network using atomic parameters and known data for the melting points of these alloy phases as inputs. The adjusted artificial neural network can be used for quantitative prediction of the melting points of these alloy phases, with an average error of about 6%.
ISSN:0925-8388