This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

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 …

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 …

Abstract n-decane and n-dodecane are important components in transport fuels and
detailed combustion mechanisms with a large number of species and reactions applicable …

Liquid rocket engines equipped with LOx/GCH4 pintle injectors represent a promising
technology when a large throttling capability is required. Still, limited amounts of data are …

Analyzing methane–oxygen rocket propellant combinations requires suitable modeling of
the major chemical reaction processes. Although several detailed kinetic mechanisms for …

Abstract Large Eddy Simulations (LES) of turbulent reacting flows carried out with detailed
kinetic mechanisms have a key role for the discovery of the physical and chemical …

There is a growing interest in leaner burning internal combustion engines as an enabler for
higher thermodynamic efficiency. The extension of knock-limited compression ratio and the …