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Volume 2 considers the essential conditions for a model to be truly predictive. Based on their assessments the authors predict values for the thermophysical properties of elemental metallic liquids.Volume 2 considers the essential conditions for a model to be truly predictive. The authors use a statistical approach to rate the validity of the various predictive models that have been previously used for evaluating various thermophysical properties. On the basis of this assessment, the authors have predicted values for the thermophysical properties of elemental metallic liquids, which are lacking in experimental data. They believe their predicted values are at least as reliable, and sometimes more reliable than corresponding experimental values. According to the periodic law, the authors provide the periodic variations in values of some twelve physical quantities or thermophysical properties. This is based on the electron configuration in the outermost energy level of metallic elements. Finally, a large number of experimental data for the physical quantities and thermophysical properties of liquid metallic elements are compiled.10. A guide to predictive models for metallic liquids' thermophysical properties11. Predictions of the velocity of sound12. Predictive models for volume expansivity13. Predictions of evaporation enthalpy14. Predictions of surface tension15. Predictions of viscosity16. Predictons of self-diffusivityTakamichi Iida,Professor Emeritus, Osaka University,Roderick I. L. Guthrie,Director of the McGill Metals Processing Centre, & Sir William A. Macdonald Professor of Metallurgy, McGill UniversityTakamichi Iida is the professor Emeritus of Materials Science and Processing at Osaka University. He obtained a Doctorate in Materials Science, studying the physical properties of metallic liquids. On the basis of the metrology of liquids, he also co-developed a viscometer for characterizing slag viscosities in continuous casting machines for tlSj