Computerized prediction of interaction parameters and phase diagrams of the immiscible binary systems of nontransition-nontransition metals

The relationship between the interaction parameters of liquid alloys and the atomic parameters of constituent elements has been investigated by artificial neural network method. The relationship found can be used for the computerized prediction of phase diagrams of liquid-liquid immiscible binary systems between non-transition elements.