Description:
<jats:title>Abstract</jats:title>
<jats:p>Machine learning (ML) is used to provide reactions rates appropriate for models of low temperature plasmas with a focus on A + B <jats:inline-formula>
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</jats:inline-formula> C + D binary chemical reactions. The regression model is trained on data extracted from the QBD, KIDA, NFRI and UfDA databases. The regression model used a variety of data on the reactant and product species, some of which also had to be estimated using ML. The final model is a voting regressor comprising three distinct optimized regression models: a support vector regressor, random forest regressor and a gradient-boosted trees regressor model; this model is made freely available via a GitHub repository. As a sample use case, the ML results are used to augment the chemistry of a BCl<jats:sub>3</jats:sub>/H<jats:sub>2</jats:sub> gas mixture.</jats:p>