Artificial Neural Networks (ANNs) are transforming how we understand chemical mixtures,
providing an expressive view of the chemical space and multiscale processes. Their …

Energy production from natural gas has considerably increased worldwide. The composition
of natural gas is diverse, and each blend has a different reactivity. Understanding the …

Ignition-delay-time measurements of conventional and a GTL liquid fuel have been recorded
in a new aerosol shock tube. While the facility can be used for investigating both gaseous …

Laminar flame speed and autoignition properties of gasoline play key role in the overall
performance of spark-ignition and modern engines. Since gasoline is a complex fuel …

New ignition delay time (IDT) data for stoichiometric natural gas (NG) blends composed of
C1–C5 n-alkanes with methane as the major component were recorded using a high …

This study presents new ignition delay time data for two multi-component natural gas (NG)
blends composed of C 1–C 7 n-alkanes with methane as the major component. New …

Characterisation of autoignition risk is crucial for designing and optimising low-emission
combustion systems as there is an increased demand for highly reactive and novel fuel …

Real fuels used in combustion devices are complex mixtures of hundreds to thousands of
compounds. Understanding the effect of fuel composition variability on important high …

Ignition delay time (IDT) is an important global combustion property that affects the thermal
efficiency of the engine and emissions (particularly NO X). IDT is generally measured by …