I. Introduction
Accurate reactive flow simulations require first-principles chemical kinetic models composed of hundreds of species and thousands of elementary reactions [1], [2]. These kinetic models, always expressed by a set of ordinary differential equations (ODEs), exhibit significant stiffness as a result of a widespread of characteristic time scales associated with reactivity of radical and molecular species [3]–[6]. Due to the large size and chemical stiffness, solving such kinetic models is computationally expensive in terms of CPU time [7]. This poses challenges for the simulation of detailed kinetic models in multidimensional reactive flow simulations, where the ODEs are coupled with partial differential equations (PDEs). In this situation, ODEs are solved on the fly for thousands or millions of times [8], [9].