Finally, PCT curves were computed using either a mean field theory formalism (MFT) or a Boltzmann (BZ) weighting of the energies (Supplementary Section 3) for each alloy system and using the "10%" sampling, "100%" sampling, or the ML screening. Figure demonstrates how this methodology can successfully resolve the ranking of experimental plateau pressures, plateau width, and saturation capacity between the 3 systems. The Pd-hydrogen PCT curve was measured in-house (Supplementary Section 4), while experimental PCT curves for Pd-Rh and Pd-Ag were taken from Ref. [43]. Figure shows how PCT curves can be computed at different temperatures to resolve the phase envelope, i.e., the decrease in plateau width and increase in plateau pressure as a function of increasing temperature. Interestingly, Figure demonstrates that similar PCT curves are computed regardless of data source and methodology in these systems, mainly due the narrowly distributed E(x). We expect the ML-based configurational screening will compound in necessity when moving to higher complexity systems where the energy probability distributions broaden significantly with varying local alloy environments (e.g., Figure ) and varying strengths of hydrogen binding in more diverse interstitial environments.