Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …

This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …

Recent developments in deep learning have brought many inspirations for the scientific
computing community and it is perceived as a promising method in accelerating the …

Abstract Conditional Source-term Estimation (CSE) is a turbulence–chemistry interaction
model to simulate reacting flows. This model is similar to the Conditional Moment Closure …

Abstract In Large Eddy Simulations (LES) of combustion, the accuracy of predictions might
be heavily affected by deficiencies in traditional/simplified closure models, especially when …

For their ability to account for finite-rate chemistry, reactor-based models are well suited
Turbulence–Chemistry Interactions (TCI) Sub-Grid Scale (SGS) closures for Large Eddy …

The modeling of combustion or, to be exact, turbulent combustion using numerical
simulation has become state-of-the-art in the process of developing internal combustion …

Due to the significant improvement in computing power and the rapid advancement of data
processing technologies, artificial intelligence (AI) has introduced new tools and …

While the world is already facing substantial impacts of global warming, the transition
towards a sustainable-energy future is slow because of the sheer scale of global energy …