Employing machine learning tools with large data sets to predict optimal functional-basis set combinations could further improve computational efficiency and accuracy. Finally, extending this study to larger hydrocarbons with higher bond order and aromatic ring, fuel blends, and real combustion conditions (e.g., high pressures and temperatures) would offer a more comprehensive understanding of alkane combustion thermodynamics.