[HTML][HTML] Computational approaches to explainable artificial intelligence: advances in theory, applications and trends
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 …
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …
[HTML][HTML] Machine learning for combustion
Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …
chemical phenomena in time and length scales, including complex chemical reactions and …
MILD combustion of low calorific value gases
The utilization of low calorific value gases (LCVG) in combustion devices presents particular
challenges in terms of ignition and sustained combustion stability due to the presence of non …
challenges in terms of ignition and sustained combustion stability due to the presence of non …
Challenges for turbulent combustion
AR Masri - Proceedings of the Combustion Institute, 2021 - Elsevier
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 …
are likely to employ blends of renewable and fossil fuels, transitioning eventually to …
Identification of flame regimes in partially premixed combustion from a quasi-DNS dataset
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 …
important task for understanding combustion phenomena and the structure of flames. A …
Effect of fuel temperature on flame characteristics of supersonic turbulent combustion
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 …
supersonic turbulent flames in a shear coaxial configuration. The effects of fuel temperature …
Combustion regime identification from machine learning trained by Raman/Rayleigh line measurements
A combustion regime identification based on convolutional neural networks (CNNs) is
developed using the recently proposed gradient-free regime identification (GFRI) approach …
developed using the recently proposed gradient-free regime identification (GFRI) approach …
Assessing multi-regime combustion in a novel burner configuration with large eddy simulations using tabulated chemistry
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 …
significant deviations in the CO flame structure compared to the limiting cases of premixed …
[HTML][HTML] Application of a two-progress variable model for carbon monoxide emissions from turbulent premixed and partially premixed enclosed flames
A large eddy simulation study is undertaken with the objective of improving carbon
monoxide (CO) estimations compared to measurements of enclosed turbulent flames in …
monoxide (CO) estimations compared to measurements of enclosed turbulent flames in …
Scalar gradient and flame propagation statistics of a flame-resolved laboratory-scale turbulent stratified burner simulation
A bluff-body stabilised turbulent jet flame burning in a stratified mode of combustion for fuel-
lean methane/air mixtures is investigated by a flame-resolved simulation. A tabulated …
lean methane/air mixtures is investigated by a flame-resolved simulation. A tabulated …