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An Approach Based On Neural Computation To Simulate Transition Metals Using Tight Binding Measurements, Adel Belayadi, Boualem Bourahla, Leila Ait-Gougam, Fawzia Mekideche-Chafa

Turkish Journal of Physics

A theoretical study of neural networks modeling, based on the tight binding approach, is proposed in this study. The aim of the present contribution is to establish a network topology to compute the binding energy parameters of transition metals. However, because of the different types of crystallization fcc, bcc, hcp, and sc of transition metals, neural network topology determination cannot be easily established, i.e. it would not be able to collect the data to feed the neurocomputing model. Hence, in order to overcome this problem, it would be helpful to distinguish one common structure from fcc, bcc, hcp, and sc. …