The training process was conducted iteratively, starting from the well-optimized structures of defective graphene nanoflakes from DFT. After structural filtering, the FLAME code Starting with 4, 629 data points, we found that the obtained potentials had RMSE less than 3 meV/atom for training and validation data. However, the error in our tests was large. The accuracy of the potential improved after six iterations of training, increasing the dataset size, and capturing non-zero forces.