This study aims to predict NOx emission from the combustion of ammonia (NH 3) and
hydrogen (H 2) mixtures using Artificial Neural Network (ANN) models. Chemical Reactor …

This study developed neural network potentials (NNPs) specifically designed for ammonia
and ammonia-hydrogen combustion systems for the first time. The NNPs were employed to …

Emissions of nitrogen oxides (NOx) arising from the combustion of fuels are a significant
source of air pollution. Estimating them for a given fuel blend is difficult, because the …

Ammonia-hydrogen blends have gained significance as they are carbon-free energy-dense
fuels. However, NO x emissions have been a significant concern. In this study, the emissions …

Nowadays, due to stricter pollution standards, more attention has been focused on
pollutants emitted from cars. As a very dangerous pollutant, NO x has always triggered the …

Addressing global warming requires immediate and concerted action. Transitioning to non-
conventional energy sources, such as solar and Aeolian power, reducing emissions from …

Numerous studies assessed the viability of ammonia blends for the wide-scale application of
ammonia in carbon-free energy systems. NOx emissions from ammonia combustion are the …

The laminar burning velocity of H 2 and CO enriched natural gas (HyCONG) mixtures
measured through spherically expanding flames method under three different fuel-air …

Accurate NOx emission monitoring is essential for an in-depth understanding of the
combustion state. However, establishing an accurate emission prediction model based on …

With the increased attention to low heat value gas fuels in recent years, research on NOx
emissions from the combustors of low heat value gas fuels is necessary. This study …