The energy evaluation of the species S can be accelerated by employing group additivity (GA) methods , while linear scaling (LSR) and Brønsted-Evans-Polanyi (BEP) relationships can be used for characterizing the reaction properties P. An example of this approach is the Reaction Mechanism Generator (RMG) , that was applied to the CO 2 methanation, and hydrocarbon (CH 4 , C 2 H x ) oxidation on Pt(111) and Ni(111) surfaces . Upon iterative species generation with graph-based approaches characterized with the aforementioned energy estimators (GA-LSR-BEP), a filtering is applied after every network expansion through microkinetics to quench the chemical space. Although the approach is self-consistent and obtains general reactivity trends, the accuracy of the species energy is low (about 0.5 eV) compared to DFT , and cannot tackle selectivity issues, limiting its applicability.