Beyond visualising the connections between minima, the information in disconnectivity graphs has previously been applied to simplify energy surfaces. With this in mind, we suspected a similar approach could be applied to CSP landscapes to account for the coalescence of potential energy minima under thermal effects. The method proposed here, called threshold clustering, involves three steps (Fig. ). First, threshold simulations are initiated from candidate structures on the CSP landscape, using small energy lids, on the order of kT to 2kT (at 298K, ca. 2.5 to 5.0 kJ mol -1 ). Thereafter, the trajectories are combined together using structure comparisons to identify where and when the trajectories overlap, and the resulting disconnectivity graph constructed. From this, the grouping of predicted structures separated by small energy barriers is revealed. A reduced set of predicted structures can then reasonably be yielded by selecting the lowest energy structure in each basin.