Let us now exploit the SGD and SISSO models trained using a data set containing palladium alloys with silver, gold, and copper to design bimetallic systems containing a wider range of stoichiometries as well as other chemical elements. We focus on the hypothetical materials Pd (1-x M ) M x M , where M = Fe, Co, Ni, Cu, Ru, Rh, Ag, Pt, Au. Note that not all of these hypothetical stoichiometries might result in solid solutions. Besides, not all of these materials might be synthesizable via the mechanochemical approach. Values of x M in the range % are analyzed. The bimetallic materials with x M 45, 55, 65, 75, 85, 90% are represented as grey circles in the d closest vs. E sub b,C plot of Fig. . In this plot, the monometallic systems are represented as black circles and the SG rules describing materials associated to high acetylene conversion are displayed as red dashed lines. The red shaded area corresponds to the materials predicted to have high acetylene conversion. The systems containing platinum and ruthenium are predicted to fully convert acetylene irrespective of x M . This is consistent with the fact that these metals are traditional hydrogenation catalysts. Conversely, according to the SG rules, the systems based on iron, cobalt, nickel, copper, rhodium, silver, and gold only present high acetylene conversion below a certain x M value, i.e., the amount of palladium has to be higher than a certain threshold. While nickel and rhodium are reported to be active for the hydrogenation of diluted acetylene, they have not yet been tested in the high-concentration, high-pressure conditions in order to verify these predictions.