IY Chen, CW Chang, C Fittschen… - The Journal of Physical …, 2024 - ACS Publications
The radical–radical reaction between OH and HO2 has been considered for a long time as an important reaction in tropospheric photochemistry and combustion chemistry. However, a …
SM Sarathy, BA Eraqi - Proceedings of the Combustion Institute, 2024 - Elsevier
Co-optimization of fuels and engines can help decarbonize the transportation sector. Traditional methods for fuel-engine co-optimization rely on experimental or theoretical …
Abstract Machine learning provides a set of new tools for the analysis, reduction and acceleration of combustion chemistry. The implementation of such tools is not new …
S Zhang, C Zhang, B Wang - Combustion and Flame, 2024 - Elsevier
Recently, artificial neural networks (ANNs) have been frequently embedded in computational fluid dynamics (CFD) solvers as surrogate tools for solving chemical reaction …
Recognizing that the calibration of octane number (ON) of a fuel by standard experimental testings is often challenging due to the lack of samples and the complexity of the …
Molecular diagnostics are a primary tool of modern chemistry, enabling researchers to map chemical reaction pathways and rates to better design and control chemical systems. Many …
J Chawla, S Schardt, S Angeli, P Lott, S Tischer… - Catalysts, 2022 - mdpi.com
At high temperatures, the oxidative coupling of methane (OCM) is an attractive approach for catalytic conversion of methane into value-added chemicals. Experiments with a Pt/Al2O3 …
The oxidation of complex hydrocarbons is a computationally expensive process involving detailed mechanisms with hundreds of chemical species and thousands of reactions. For …
M Molana, S Darougheh, A Biglar… - Industrial & …, 2024 - ACS Publications
This review explores machine learning approaches for predicting ignition delay in combustion processes. Ignition delay is a vital parameter in optimizing the engine design …