To showcase the strengths of rNets in illustrating kinetic outcomes, we revisited our earlier imine condensation reaction through the lens of the recently presented "Dynamic Radii Adjustment for Continuum Solvation" (DRACO) , aiming to discern the need of the 13.38 kJ/mol correction, potentially prompted by inaccuracies in handling implicit solvation. This inquiry is powered by the use of pykinetic , a Python library tailored for the creation and analysis of kinetic models. This approach not only tests the validity of previous findings but also highlights the synergy between advanced simulation tools and kinetic modeling in refining our understanding of chemical processes.