Abstract Machine learning (ML) is used to provide reactions rates appropriate for models of low temperature plasmas
with a focus on A + B $\rightarrow$ C D binary chemical reactions. The regression model trained
on data extracted from the QBD, KIDA, NFRI and UfDA databases. variety data
on reactant product species, some which also had be estimated using ML.
The f...

for large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. mechanism simplification is often a necessity to improve computational speed. we present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using genetic al...