Breaking the non-linear relationship between number of species and computation time calls for a disruptive approach, a so-called accelerator . In the context of modeling, an accelerator is a system with (saved) precalculated data able to interpolate in a meaningful way at any arbitrary state requested without solving the equilibrium in a conventional way. In the case discussed here, this results in an algebraic model not in need of minimization or root finding routines to estimate the equilibrium composition at any state. A simple example of such a model might be a lookup table with linear interpolation between equidistantly spaced and saved grid points.