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Abstract

The phase diagram of the Cu2SnS3-Cu2SnSe3 system was plotted by thermodynamic calculations. Experimental data from differential thermal (DTA) and X-ray diffraction (XRD) analyses have used for the calculation. From the fundamental principles of thermodynamics for heterogeneous equilibria, new equations have been obtained for the direct calculation of the coordinates for (Cu2SnS3)1-x(Cu2SnSe3)x liquid and solid solutions. The parameters of the analytical dependencies of the Gibbs free energy within the asymmetric version of the model of regular solutions were determined by means the multipurpose genetic algorithm (MGA), whereas the boundaries of solid solutions are determined based on Gibbs function for the internal stability. Analytical dependencies between the variables and formation thermodynamic functions for the compounds allowed us to estimate the sensitivity of the calculated data with the input data. It was established that, the coordinates of the liquidus and solidus curves are insensitive to formation enthalpy of the Cu2SnS3 and Cu2SnSe3 compounds. At the same time, a high sensitivity of the liquidus and solidus coordinates to the excess free energy values of solutions was observed. A 3D model of the Gibbs energy dependences on compositions and temperatures was visualized.

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Acknowledgments

This work was performed in the frame of a scientific program of the international laboratory between the Institute of Catalysis and Inorganic Chemistry of the National Academy of Sciences of Azerbaijan (Azerbaijan) and Centro de Fısica de Materials at Donostia (Spain).

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Correspondence to Z. S. Aliev .

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Mammadov, A.N., Alverdiev, I.D., Aliev, Z.S., Tagiev, D.B., Babanly, M.B. (2020). Thermodynamic Modeling of the Phase Diagram for Cu2SnS3-Cu2SnSe3 System. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F. (eds) 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019. ICSCCW 2019. Advances in Intelligent Systems and Computing, vol 1095. Springer, Cham. https://doi.org/10.1007/978-3-030-35249-3_118

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