By harnessing the speed and data efficiency of this framework, we demonstrate the feasibility of accurately modelling chemical processes in explicit solvents using MLPs. We also acknowledge that as the complexity of chemical reactions in solution increases, the identification of multiple potential pathways becomes challenging. To address such challenges, particularly when multiple pathways may exist or when solvent actively participates in the reaction, the integration of enhanced sampling techniques, coupled with chemical intuition within the AL framework, will further enhance the robustness and versatility of our approach.