After establishing the structure-stability relationships, we utilized the selected above descriptive properties to predict the stability of Ti 3 C 2 T x with various compositions of termination groups and to identify sites catalyzing the degradation reaction. In order to build a predictive model and identify the best combination of descriptors, we employed symbolic regression machine learning algorithms as implemented in SISSO code. The best performing model obtained after dimensionality reduction (see Figure ) relies on two descriptive properties: