We used vasp drastically reducing the number of epochs needed for convergence by orders of magnitude. With the majority of hyperparameters set to default values, MACE trainings were performed with a cutoff radius r max = 4.0 Å and two hidden layers set to 128 channels for scalar and vector properties each. The maximum number of epochs was set to 1200 with an early stopping patience of 50, and energy and force weights of 1 and 100, respectively. Afterwards, training was run for an additional 300 epochs with an increased energy weight of 1000 and an unchanged force weight.