This local atomic environment driven exploration phase continues until no entry is left in the to-do list (or a given computational budget on TS searches is spent). Rather than randomly choosing atomic configurations or primarily exploring atomic configurations that differ by low-energy processes as in traditional adaptive kMC, the APE workflow thus optimally focuses its TS searches on structures that contain unexplored and non-equivalent atomic environments. The final outcome of the exploration phase is a list of elementary processes that was automatically generated without human bias. In a subsequent extraction phase, the APE framework now FIG. . Schematic illustration of the automated process exploration (APE) workflow. Starting from an initial atomic configuration of the system, the DECAF algorithm fuzzily classifies all atoms into equivalence groups with approximately equal local atomic environments. Randomly choosing one atom per equivalence group yields the first entries in a to-do list of local atomic environments on which dimer TS searches are performed. If these searches yield elementary processes that create novel local atomic environments in their final structure, then the corresponding atom in this system atomic configuration is added to the to-do list. This workflow continues until there are no more entries in the to-do list and thus no processes leading to new atomic environments have been found anymore. The APE result is an automatically generated list of elementary processes that is curated by removing (symmetry-equivalent) duplicates in a subsequent extraction phase.