These results show that there is significant interplay between temperature and NP geometry, especially at high temperatures. However, such temperature effects do not appear to be too significant at close to room temperature for the most relevant radial distribution peaks nor do they appear to have a significant affect on the types of H sites present in ensembles. indicates that they find 14.8% and 4.3% of all ULESs respectively. We plot the percentage of PES sampled at all energy fractions in figure . Practically, figure shows what fraction of the PES we can reasonably expect out of a single run of pyGlobOpt with 10000 iterations. Across all energies Pt 13 H 4 and Pt 13 + 2 H 2 produce only 1.6% and 0.5% of all structures on our discovered PES respectively. However, as the ABC algorithm is intended to find the GM we note that both systems perform comparatively better at lower energies. The in-sphere pyGlobOpt captures the lowest 5 structures (all structures below 0.128 eV) as well as 7 of the 10 lowest energy structures (below 0.185 eV). We were able to find half of all structures below 0.344 eV with this method for a single 10000 iteration pyGlobOpt run. It is apparent that the in-sphere methodology far outperforms the on-surface methodology here where only 1 of the lowest 10 energy structures were found (the 4 th lowest). Some structures (including the 6 th , 17 th , 25 th , and 37 th ) were only found once across all runs, compared to 8226 times for the GM and 11848 times for the most found structure (the 2 nd lowest energy structure).