The OC20 38 dataset only included optimizations where step sizes are much larger that what is required to calculate Hessians, so the inclusion of data points with small displacements could help the model capture the curvature information of the PES. While further DFTrefinement and fine-tuning of the OCP approach is outside the scope of this study, these encouraging results motivate the advantages of combining Pynta with pre-trained models including those based on equivariant architectures.