We study motility-induced phase separation (MIPS) in symmetric and asymmetric active binary mixtures. We start with the coarse-grained run-and-tumble bacterial model that provides evolution equations for the density fields . Next, we study the phase separation dynamics by solving the evolution equations using the Euler discretization technique. We characterize the morphology of domains by calculating the equal-time correlation function and the structure factor , both of which show dynamical scaling. The form of the scaling functions depends on the mixture composition and the relative activity of the species, . For , follows Porod’s law: and the average domain size shows a diffusive growth as for all mixtures.

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