Table : pyGlobOpt statistics from 3 different systems. Unique low-energy structures (ULES), as defined in section 3.2 are found with the same criteria for each system where the GM is defined as the lowest structure found in each run. The results are presented as: standard settings / tuned settings (combined results). The combined results take the results from both the standard tuned pyGlobOpt runs and combine them into a single database before the grouping is used such that the number of total unique and ULES structures can be found. In table 2 we show the results of our 6 pyGlobOpt runs (each stoichiometry with and without tuned settings). We observe that for Pt 13 more ULES are produced using standard settings than our tuned ones, for Pt 13 H 2 this is reversed, and for Pt 13 H 4 the ULES number for our tuned settings significantly out performs the standard settings. These results may not be representative of a true trend due to the stochastic nature of the algorithm, meaning we would need to take an average of results to confirm it. However, we deem this too expensive to be considered for the work on these proof of concept calculations. Tuned settings despite not always producing the most low energy structures, consistently produce a higher number of unique structures. Indicating a better exploration of the PES. The minimum energy w.r.t. Pt 13 H 4 GM follows the trend of ULES number whereby the lowest energy structure was produced with standard settings for Pt 13 and with tuned settings for Pt 13 H 2 and Pt 13 H 4 .