Conformer ensembles were generated using the Conformator program and optimized with GFN2-xTB in water using the ALPB solvent model . These optimized conformers were reduced to a maximum of 15 clusters with the k-means algorithm implemented in scikit-learn and the lowest-energy representative was picked from each cluster. The optimized and clustered conformer ensembles were the input for the DFT calculations.