While the above problem specific/domain specific models were developed using surface and adsorbate dataset, unified force-field models were trained on bulk materials only. Interestingly, we find that CHGNet model achieves highest average PCC score among all the models followed by ALIGNN-FF (0.44), MATGL (0.32) and MACE (0.19). The column wise average shown as the last row suggests that all these models perform comparatively well on oxygen catalyst datasets (TinNet o, AGRA O) and worst on AGRA CO dataset. This suggests the unified models can be indeed useful for general purpose catalyst design.