Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …

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

The present work shows the first application of the PC-transport approach in the context of
Large Eddy Simulation (LES) of turbulent combustion. Detailed kinetic mechanisms …

We investigate the implementation of principal component (PC) transport to accelerate the
direct numerical simulation (DNS) of turbulent combustion flows. The acceleration is …

The modeling of combustion or, to be exact, turbulent combustion using numerical
simulation has become state-of-the-art in the process of developing internal combustion …

In this work, a deep neural network is presented which is trained on flamelet/progress
variable (FPV) tables and validated in a combustion large eddy simulation (LES) of the …

Turbulent combustion modeling often faces a trade-off between the so-called flamelet-like
models and PDF-like models. Flamelet-like models, are characterized by a choice of a …

In this work, we demonstrate a framework for developing closure models in turbulent
combustion using experimental multi-scalar measurements. The framework is based on the …

Many modeling approaches in large eddy simulation (LES) of turbulent combustion employ
a projection of the thermochemical state onto a low-dimensional manifold within state space …

During their high-temperature oxidation, complex hydrocarbons and their early fragments
are short-lived and figure prominently only during the pyrolysis stage. However, they are …