The MACE-MP-0 foundation model is a machine learned universal forcefield that has been trained on the contents of the materials project database. For MACE we use the large 'mace mp 0' foundation model with double precision accuracy turned on, we note that the recommended means of using this methodology is to enhance the foundation model with further DFT calculations and perform a form of active learning. This will certainly be useful in the future as we look to evaluate large structures at high accuracy but in the interests of assessing the algorithm quickly we will use it 'out-of-the-box'. For xTB we use the default optimisation settings as stated in section 2.4.1. Finally, We use the EMT implemented in ASE but understand this methodology is highly idealised and unlikely to provide any insights to our system. We include EMT primarily to provide a baseline to compare the other two 'fast' energy calculators against.