A neural network (NN) aided model is proposed for the filtered reaction rate in moderate or
intense low-oxygen dilution (MILD) combustion. The framework of the present model is …

Abstract Moderate or Intense Low-oxygen Dilution (MILD) combustion has drawn increasing
attention as it allows to avoid the thermo-chemical conditions prone to the formation of …

Direct numerical simulation (DNS) data of moderate or intense low-oxygen dilution (MILD)
combustion and a planar flame are analysed to identify quantities influencing the unique …

The pollutants produced by the burning of fossil fuels have a severe impact on the
environment and on mankind. Computational fluid dynamics (CFD) is a powerful tool, which …

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 …

Deep neural network (DNN) is applied to mean reaction rate modelling. Two DNN
structures, species-dependent (SD) and species-independent (SI), are considered. 1 Due to …

Two different machine learning (ML) approaches, Symbolic regression, more precisely Gene
Expression Programming (GEP) and Tiny Artificial Neural Networks (TANN), have been …

The present work shows an in-depth analysis about the role of mixing models on the
simulation of MILD combustion using a finite-rate combustion model, the Partially Stirred …

A new global mechanism of combustion called the GM-ANN mechanism is proposed for
MILD combustion, with its reaction parameters being optimized by artificial neural network …

The Incompletely Stirred Reactor (ISR) is a generalization of the widely-used Perfectly
Stirred Reactor (PSR) model and allows for incomplete mixing within the reactor. Its …