In flames, turbulence can either limit or enhance combustion efficiency by means of strain
and mixing. The interactions between turbulent motions and chemistry are crucial to the …

A data-based reduced-order model (ROM) is developed to accelerate the time integration of
stiff chemically reacting systems by effectively removing the stiffness arising from a wide …

With the increase in computational power in the last decade and the forthcoming Exascale
supercomputers, a new horizon in computational modelling and simulation is envisioned in …

There currently exist two methods for analysing an explosive mode introduced by chemical
kinetics in a reacting process: the Computational Singular Perturbation (CSP) algorithm and …

PyCSP is a Python package for the analysis and simplification of chemically reacting
systems, using algorithms based on the Computational Singular Perturbation (CSP) theory …

We leverage the computational singular perturbation (CSP) theory to develop an adaptive
time-integration scheme for stiff chemistry based on a local, projection-based, reduced order …

Turbulent premixed flames at high Karlovitz numbers exhibit highly complex structures in
different reactive scalar fields to the extent that the definition of the flame front in an …

A cylindrical confined combustor operating under MILD condition is investigated using LES.
The combustion and its interaction with turbulence are modeled using two reactor based …

Dominant physical processes that characterize the combustion of a lean methane/air
mixture, diluted with exhaust gas recirculation (EGR), under turbulent MILD premixed …

We present “on the fly” algorithmic criteria for the accuracy and stability (non-stiffness) of
reduced models constructed with the quasi-steady state and partial equilibrium …