Automated platforms could enable the unprecedented pace required for modeling the
countless proposed alternative fuels relevant to future technologies, but existing platforms …

Computational fluid dynamics (CFD) simulation in the design of combustion devices
imposes increased demand on combustion kinetic models with acceptable uncertainties …

Experimental data under a wide range of conditions are essential for the optimization of
combustion kinetic models. However, some laboratory measurements under given …

To minimize the uncertainty of the parameters in combustion kinetics models, Bayesian
methods are commonly used for uncertainty constraints based on experimental data. With …

Experimental data is essential for the improvement of combustion kinetic models.
Experimental design based on model analysis results can screen optimal experimental …

To address the environmental concerns associated with fossil fuels, this study explores
ammonia (NH 3) blended with hydrogen (H 2) as an alternative fuel. While offering reduced …

Ammonia (NH3) has been receiving the attention of researchers as an alternative promising
green fuel to replace fossil sources for energy production. However, the high NOx emissions …

Ketene is an important species in core mechanisms for the combustion of hydrocarbon and
oxygenated fuels, but direct experiments with ketene are challenging to conduct due to its …

In an emerging energy landscape that increasingly discourages the use of traditional fossil
fuels, there remain applications for which the continued use of high energy density liquid …

In combustion kinetic model calibration, researchers usually use experimental data to
reduce the uncertainty of kinetic parameters, and Bayesian inference is the most common …