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

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 …

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 …

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

The blend of ammonia (NH3) and dimethyl ether (DME) is a promising renewable and clean
fuel. This work studies the basic explosion characteristics of NH3/DME/air with varying …

Many important chemically reacting systems are inherently multi-dimensional with spatial
and temporal variations in the thermochemical state, which can be strongly coupled to …

Multiscalar point and line measurements have provided a wealth of data to extract measured
scalars' statistics in laboratory flames. These measurements are partial, since only a subset …

Experimental and numerical studies contributed significantly to the overall understanding of
diesel spray combustion phenomena over recent decades. In particular, the conceptual …

Gradient free regime identification (GFRI) is applied to 1D Raman/Rayleigh/LIF
measurements of temperature and major species from the intermediate velocity case of the …