4 papers
AI-Powered Surrogate Modelling for Multiscale Combustion: A Critical Review and Opportunities
Amirali Shateri, Zhiyin Yang, Yuying Yan +2
Recent advances in combustion science have led to the generation of large volumes of data from high-fidelity simulations, detailed chemical-kinetic calculations and engine-relevant…
Impact of Ethanol and Methanol on NOx Emissions in Ammonia-Methane Combustion: ReaxFF Simulations and ML-Based Extrapolation
Amirali Shateri, Zhiyin Yang, Jianfei Xie
The development of ammonia-methane (NH3-CH4) combustion as a hydrogen-carrier energy source faces major challenges such as significant NOx emissions, hindering its practical implem…
Alcohol additives to enhance ammonia-methane combustion efficiency and reduce emissions: A reactive force field analysis
Amirali Shateri, Zhiyin Yang, Jianfei Xie +1
Exploring the impact of alcohol additives on combustion and pyrolysis of ammonia/methane is of great importance in the pursuit of sustainable energy technologies. This work employs…
Machine learning-based prediction of species mass fraction and flame characteristics in partially premixed turbulent jet flame
Amirali Shateri, Zhiyin Yang, Jianfei Xie
This study explores the integration of machine learning (ML) techniques with large eddy simulation (LES) for predicting species mass fraction and flame characteristics in partially…