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 …

A strategy based on machine learning is discussed to close the gap between the detailed
description of combustion chemistry and the numerical simulation of combustion systems …

In this paper, we propose a deep learning model to detect combustion instability using high-
speed flame image sequences. The detection model combines Convolutional Neural …

To control the global warming trends, carbon footprint of all the human activities needs to be
restricted, including the aviation industry. Mixing hydrogen with commercial kerosene jet …

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 …

Accurate and reliable prediction of exhaust emissions is crucial for combustion optimization
control and environmental protection. This study proposes a novel ensemble deep learning …

Ammonia emerges as a promising substitute for traditional fuels, offering a potential
reduction in fossil fuel consumption and the associated emissions. Given its weak reactivity …

A deep learning strategy is developed for fast and accurate gas property measurements
using flame emission spectroscopy (FES). Particularly, the short-gated fast FES is essential …