[HTML][HTML] The transition to sustainable combustion: Hydrogen-and carbon-based future fuels and methods for dealing with their challenges

H Pitsch - Proceedings of the Combustion Institute, 2024 - Elsevier
While the world is already facing substantial impacts of global warming, the transition
towards a sustainable-energy future is slow because of the sheer scale of global energy …

Combustion condition predictions for C2-C4 alkane and alkene fuels via machine learning methods

M Chen, J He, X Zhao, R Yu, K Yang, D Liu - Fuel, 2024 - Elsevier
The accurate and rapid prediction of hydrocarbon type was a precondition for the utilization
of fossil fuels with high efficiency and safety. In this study, machine learning based …

Predicting Rate Constants of Hydrogen Abstraction Reactions between OH/HO2 and Alkanes by Machine Learning Models

M Xia, Y Zhang, H Song, Y Jia… - The Journal of Physical …, 2025 - ACS Publications
The hydrogen abstraction reactions by small radicals from fuel molecules play an important
role in the oxidation of fuels. However, experimental measurements and/or theoretical …

[HTML][HTML] Kinetic Analysis of PODE1-3 Combustion Mechanisms: Towards a general framework for reaction pathways

H Liu, Y Yang, Y Wei, A Baig, Y Tang… - Energy Storage and …, 2024 - Elsevier
Polyoxymethylene dimethyl ethers (PODE) have emerged as promising clean alternative
fuels for compression-ignition engines. The combustion characteristics of PODE vary with …

Perspective on automated predictive kinetics using estimates derived from large datasets

WH Green - International Journal of Chemical Kinetics, 2024 - Wiley Online Library
A longstanding project of the chemical kinetics community is to predict reaction rates and the
behavior of reacting systems, even for systems where there are no experimental data. Many …