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 …

The simulation of turbulent flames fully resolving the smallest flow scales and the thinnest
reaction zones goes along with specific requirements, which are discussed from …

Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …

In this paper, we propose a deep learning model to detect combustion instability using high-
speed flame image sequences. The detection model combines Convolutional Neural …

In the past decades, Deep Learning (DL) frameworks have demonstrated excellent
performance in modeling nonlinear interactions and are a promising technique to move …

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 …

Deep learning has recently emerged as a successful approach to produce accurate subgrid-
scale (SGS) models for Large Eddy Simulations (LES) in combustion. However, the ability of …

Hydrogen (H 2) has been regarded as the most promising sustainable energy. Reliable
numerical prediction of its combustion is one of the vital steps towards an ultra-clean energy …

Conventional compression-ignition (CI) engines have long offered high thermal efficiencies
and torque across a wide range of loads, but often require extensive exhaust gas treatment …

In numerical fire simulations, the calculation of thermal feedback from the flame to the solid
and liquid fuel surface plays a critical role as it connects the fundamental gas-phase flame …