ABSTRACT This review provides recent findings about the membranes fabricated using green solvents concerning their pore sizes and structure. We summarized preparations of green membranes and solvent recovery after membrane fabrication using polymer membranes. Recent studies on machine learning (ML), offering new efficient routes for membrane preparation were discussed. Regardless of the type of solvent, the most important parameters that control porosity of the membranes are thermodynamic and kinetic parameters. The field of solvent recovery with the aid of ML will evolve in the next decade and help to fully satisfy the principles of green chemistry and minimization of environmental pollution.