The main issue in classical dynamics is that it tends to focus more on low energy area for non-reactive or on-the-fly surfaces, which is not a data efficient way to learn reactive regions of interest. Therefore, enhanced sampling is needed to increase the chances to making data sampling more focused on rare events and reaction pathways. For example, Umbrella sampling and Metadynamics are two powerful free energy landscape exploration techniques that found applications in protein folding, ligand binding, chemical reactions and other complex systems. Although their main purpose is to calculate free energy profiles, they are well-suited for sampling structures for systems with rare events and high energy barriers . Umbrella sampling defines reaction path collective variables (CVs) and applies bias potentials to enhance the sampling along path CVs and overcome energy barriers. On the other hand, metadynamics utilizes a history-dependent bias potential to encourage exploration on rare events along CVs.