In both conventional methods, the solutions are inherently obtained iteratively, either by root finding or minimization, which, in general, is computationally expensive . Thus, solving the complex system of equations necessary for prediction of equilibrium composition is estimated to be about 10-10000 times more computationally expensive than evaluating the equations for kinetic or transport phenomena . This becomes especially prominent for systems involving multiple components, since the computation time for equilibrium models shows high-order non-linear relationship with the amount of species considered . This means that for realistic multi-component mixtures direct integration of these models into, e.g., dynamic reactor simulations is oftentimes infeasible due to extreme calculation times .