We implemented the above workflow to investigate the partial oxidation of methanol over a Ag(111) catalyst. We initialized our workflow using a DeepMD-kit model previously trained to study adsorbate diffusion on Ag(111). Beyond this iteration 0 model (denoted as DP 0 ), the inputs to the rMLP curriculum include (a) a predefined set of elementary reactions and (b) the corresponding DFT-optimized Ag(111) slab and adsorbate configurations generated by Pynta. Our reaction set is the 53 elementary reactions (Table-S1) previously described by Aljama et al., which encompasses a diverse range of chemistry, including more than 20 unique surface-bound species, thus presenting a significant challenge to test the efficacy of our curriculum. To evaluate the accuracy and computational cost of our approach, we also calculated a set of 23 reaction barriers using Pynta/DFT only. The computational costs associated with a few DFT-only studies are summarized in the Table-S4.