The thermodynamic properties like heat of mixing (ΔE), entropy of mixing (ΔS) and volume of mixing (ΔΩ) of Fe-Co liquid binary alloys are computed using our newly constructed parameter free model potential. We have also attempted to investigate the effect of various forms of exchange and correlation functions, namely, Hartree (H) and Taylor (T) on the thermodynamic properties of Fe-Co liquid binary alloys. It is found that the proper choice of the model potential along with the local field correction function play an important role in investigating the thermodynamic properties of Fe-Co liquid binary alloys.
Present paper dealswith the calculation of electrical resistivity (ρ) of Ni-Cr liquid binary alloy using Faber-Ziman formulation. Todescribe electron-ion interaction we have used newly constructed parametricfree model potential along with Ashcroft-Langreth (AL) partial structurefactor. To see the influence of exchangeand correlation effect, Hartree, Taylor and Sarkaret allocal field correlation functions are used. From presentresults, it is seen that good agreements between present results andexperimental data have been achieved. Lastly we conclude that our model potential successfully produces thedata of electrical resistivity (ρ) ofNi-Cr liquid binary alloy.
Electronic transport property like electrical resistivity (ρ) of Co-Cr liquid binary alloy is calculated using Faber-Ziman formulation. To describe electron-ion interaction we have used newly constructed parametric free model potential along with Ashcroft-Langreth (AL) partial structure factor. To see the effect of exchange and correlation effect on electrical resistivity, we have used different local field correction functions like Hartree, Taylor and Sarkar et al. From present results, it is seen that good agreements between present results and experimental data have been achieved. Lastly we conclude that our model potential successfully produces the data of electrical resistivity (ρ) of Co-Cr liquid binary alloy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.