Combustion is a reactive oxidation process that releases energy bound in chemical
compounds used as fuels─ energy that is needed for power generation, transportation …

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 …

Abstract Machine learning has long been considered a black box for predicting combustion
chemical kinetics due to the extremely large number of parameters and the lack of …

Combustion is the main source of energy and environmental pollution. The objective of the
combustion study is to improve combustion efficiency and reduce pollution emissions. In the …

A data-based reduced-order model (ROM) is developed to accelerate the time integration of
stiff chemically reacting systems by effectively removing the stiffness arising from a wide …

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 …

We leverage the computational singular perturbation (CSP) theory to develop an adaptive
time-integration scheme for stiff chemistry based on a local, projection-based, reduced order …

Synthetic jets are useful fluid devices with several industrial applications. In this study, we
use the flow fields generated by two synchronously operating synthetic jets and simulated …

Predicting the thermal and environmental performances of combustion systems can be
difficult and computationally expensive. Chemical Reactor Networks (CRN) represent an …