These results highlight the robustness and reliability of the ANN potential in modeling interactions between molecules and materials, such as the adsorption of CH X and H on graphene. The ANN potential effectively identifies correct adsorption sites and predicts the relative adsorption strength which are close to DFT values. It suggests that the ANN potential is a promising tool for studying catalysis, which requires identifying correct adsorption sites and configurations. However, further improvements is needed to enhance the accuracy, particularly in predicting E ads and C-H bond lengths.