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 …

In this study, thermogravimetry and Fourier transform infrared spectroscopy (TG-FTIR) were
used to analyze the co-pyrolysis characteristics of coal slime (CS) and coffee industry …

Faced with the problems of the environment and resources, the co-combustion of sewage
sludge has gradually become a trend. In this paper, the combination of thermogravimetric …

We investigate the implementation of principal component (PC) transport to accelerate the
direct numerical simulation (DNS) of turbulent combustion flows. The acceleration is …

Co-pyrolysis technology of urban solid waste and biomass has broad application prospects
in alleviating energy crisis and environmental pollution. In this study, thermogravimetric …

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 …

This investigation outlines a data-assisted approach that employs random forest classifiers
for local and dynamic submodel assignment in turbulent-combustion simulations. This …

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 …