To verify whether the number of parallel ABCluster runs (N r ) and saved local minima (N LM ) behaves differently for the (SA) 10 (DMA) 10 system, we conducted four parallel series of calculations for comparison. Each series yielded 10,000 (N r ×N LM ) local minimum structures. Subsequently, the 10,000 local minimum structures were further optimized by the GFN1-xTB method. Lastly, single-point calculations were conducted on the 10,000 GFN1-xTB optimized structures at the B97-3c level of theory. Figure displays the distribution of the 1000 lowest B97-3c energies of structures, calculated at B97-3c level. The dashed line denotes the lowest energy conformer discovered. It is seen that increasing the number of runs while maintaining N r × N LM constant does not significantly improve the ability to identify the global minimum. The test with (N r = 10, N LM = 1000) yielded the overall lowest-energy structure, while the min-ima of (N r = 100, N LM = 100) and (N r = 1000, N LM = 10) were 1.44 and 2.01 kcal/mol higher, respectively. As also confirmed in the previous section, using only a single run (N r = 1, N LM = 10000) exhibited the poorest performance, with the obtained minima being 3.90 kcal/mol higher in energy. Again it should be noted that the sampling errors for (N r = 100, N LM = 100) and (N r = 1000, N LM = 10) are still below the error of the applied B97-3c method for the binding energies. More runs would be more efficient if the same number of minima would be saved for each simulation. However, that requires a lot of storage resources. Hence, for saving at max 10000 minima (which are sufficient for studying SA-DMA), 10 runs with LM = 1000 seems to be the best choice.