Turbulent premixed combustion involves simultaneous and mutually interacting fluid,
chemical, and transport phenomena spanning a wide range of spatial and temporal scales …

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 …

A criterion based on chemical explosive mode analysis (CEMA) is proposed to identify
different local combustion modes, such as auto-ignition, diffusion-assisted ignition, and local …

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 …

A comprehensive numerical study is undertaken to investigate the dynamics of hydrogen-air
supersonic turbulent flames in a shear coaxial configuration. The effects of fuel temperature …

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 …