Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …

Combustion involves chemical reactions that are often highly exothermic. Combustion
systems utilize the energy of chemical compounds released during this reactive process for …

Turbulent combustion will remain central to the next generation of combustion devices that
are likely to employ blends of renewable and fossil fuels, transitioning eventually to …

In practical applications, partial premixing of fuel and oxidizer, as well as recirculation of
combustion products, result in complex combustion scenarios where multi-regime effects …

Identifying combustion regimes in terms of premixed and non-premixed characteristics is an
important task for understanding combustion phenomena and the structure of flames. A …

Inversion of temperature and species concentration distributions from radiometric
measurements involves solving nonlinear, ill-posed and high-dimensional problems …

A combustion regime identification based on convolutional neural networks (CNNs) is
developed using the recently proposed gradient-free regime identification (GFRI) approach …

Recent investigations on a novel multi-regime burner (MRB) configuration showed
significant deviations in the CO flame structure compared to the limiting cases of premixed …

The stabilization mechanisms of turbulent lifted jet flames in a co-flow have been
investigated at a pressure of 7 bar. The structure of the flame base was measured with …

Multi-regime effects occur due to the interaction of combustion phenomena such as partial
premixing of reactants or product-recirculation and lead to the invalidity of idealization of …