By applying the SG rules with such extended definition for r d-SA , we identify 383 surface sites of DAAs likely to provide large C-O bond elongations. We selected 15 out of these 383 systems, corresponding to five DAA sites per surface, and performed new DFT-mBEEF calculations. These results are summarized in the lower half of 3(f). The orange bins show the distribution of ∆d C-O max values corresponding to these 15 systems. 12 of the tested bridge sites are able to activate CO 2 . These sites are, for each host surface, the following: (Cd, W), (Mo, Pd), (Sc, Hf), (Zr, Ag), (Y, Pd)@Cu(100); (Nb, Mo), (Re, Pt),(Rh, Hf),(Sc, W)@Pd(111); (Mo, Hf), (Ti, Ta),(Ta, Pt)@Pd(100). The average ∆d C-O max among these 15 sites is equal to 0.111 Å. The systems displaying the largest C-O bond elongation among the tested sites are (Re, Pt)@Pd(111) and (Ta, Pt)@Pd(100), with ∆d C-O max values of 0.190 and 0.187 Å, respectively. Three of the selected DAAs, (Zr, Ag)@Pd(111) and (Nb, Hg), (Y, Ag)@Pd(100), did not present CO 2 activation. Finally, we evaluated CO 2 activation on 15 of the DAA surface sites that were not selected by the SG rules. The purple bins of the lower panel in Fig. show the distribution of ∆d C-O max among these 15 systems. 8 sites did not show any activation and the average ∆d C-O max value across the 15 sites is 0.059 Å. Even though the SG rules missed some DAA systems providing relatively large ∆d C-O max and were not as effective as they were for SAAs, they correctly identified the DAA systems presenting the larger ∆d C-O max values among all tested DAAs. This result is remarkable given that the rules were only trained on the much simpler SAA systems. We stress that the SGD rules can be systematically improved by retraining with more data (e.g., the data related to DAAs), providing rules that better describe an effective CO 2 activation on both SA and DA alloy systems.