We list in this section the detailed formulas of the DFT-based ML features that were used for the training of the ML2 (Sec. III) and the MLS2 (Sec. IV) neural network. They are all implemented in Python as dimensionless objects and then evaluated at every point of the DFT grid for the input data. The implicit dependency on ρ is omitted for simplicity.