Modern diagnostic tools in turbulent combustion allow for highly-resolved measurements of
reacting flows; however, they tend to generate massive data-sets, rendering conventional …

Flame front structure is one of the most fundamental characteristics and, hence, vital for
understanding combustion processes. Measuring flame front structure in turbulent flames …

Advanced combustion devices and alternative fuels like hydrogen require an estimation of
the impact of such changes on engine exhaust emissions of regulated pollutants like soot …

Optical detection has been fully applied and developed in combustion research, but its
results are severely limited by detection methods and detection equipment with no …

High-speed planar imaging of key combustion species, like hydroxyl radicals (OH), is crucial
for understanding the complex chemistry–turbulence interactions in turbulent flames …

We present a methodology based on artificial neural networks for reconstructing flame
temperature fields from planar distributions of hydroxyl (OH) radicals and soot volume …

This work reports an application of physics-informed machine learning models on
reconstructing key parameters of acoustically forced, time-varying laminar sooting flames …

This paper reports an approach to interpolate planar laser-induced fluorescence (PLIF)
images of CH_2O between consecutive experimental data by means of computational …

This article presents a spatiotemporal super-resolution (SR) reconstruction model for two
common flame types, a swirling and then a jet flame, using double generative adversarial …