Figure 3.

Flowchart depicting the parametrization strategy used to construct each of the coarse-grained lipid models, which rely on two variational methods: multiscale coarse-graining (MS-CG) and relative entropy minimization (REM). The right block shows the REM optimization subprocedure based on Newton–Raphson minimization, in which a two-part strategy is adopted: initially, stochastically chosen subsets of parameters are refined for each iteration, followed by refinement of all parameters at each iteration.