A Predictive Surface Tension Model for Binary Metallic Solution

Surface tension is very important thermodynamic energy which determine the phase stability in nano-sized materials. For liquid metallic system, many surface tension models have been proposed to reproduce the experimental data but none of the models can predict the surface tension of liquid metallic solution without any model parameters. In this study, we developed a new predictive surface tension model for liquid metallic solution which can predict the surface tension of binary liquid solution only from unary surface energy data. By using well quantified thermodynamic properties like enthalpy and entropy of mixing of binary bulk liquid solution, the surface composition and surface tension of liquid metal can be predicted from the new model. The present model was tested for 50 binary solutions having ideal, positive and negative interaction. In particular, the present model can give successful results for the liquid solutions with strong positive deviation or negative deviation from ideal solution, which have not been well predicted by any previous models.