Then, among the wide variety of thermotropic phases exhibited by saturated lipid membranes, the tilted gel (Lβ′) and ripple (Pβ′) phases are not accurately described using current Martini models, as bilayers preferentially adopt exclusively the straight gel phase (Lβ) at low temperatures . The further refinement of these models could focus on enabling better stabilization of the tilted gel phase (Lβ'), as well as triggering phase transitions at their relevant temperatures in simulations . Lastly, although only sparse data is available, experimental phase diagrams of lipid mixtures constitute one of the most information-rich sources usable in the calibration or validation of a FF. Maximizing the fidelity of CG simulations to phase diagrams of lipid mixtures, however, remains a challenging endeavor both in terms of FF calibration effort and computational effort (i.e. computational time, elaborate simulation setups) . After two decades of continued Martini development, further refining the lipid models has become a demanding task that could benefit from automatized procedures and machine learning 2 .