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 oscillations are frequently encountered during the development of many
combustion chambers for gas turbines [1–4]. To date, these oscillations cannot be predicted …

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

Great efforts have been dedicated during the last decades to the research and development
of hypersonic aircrafts that can fly at several times the speed of sound. These aerospace …

Coal is the most abundant fossil fuel and is widely used as an energy source for combustion
and gasification. Both experimental methods and computational tools are required for the …

Flamelet based chemical reduction techniques are very promising methods for efficient and
accurate modeling of premixed flames. Over the years the Flamelet Generated Manifold …

Since its discovery, the Flameless Combustion (FC) regime has been seen as a promising
alternative combustion technique to reduce pollutant emissions of gas turbine engines. This …

Combustion instability remains a critical issue limiting the development of low-emission,
lean-premixed (LPM) gas turbine combustion systems. The present work provides a …