Pressure-transferable universal machine-learning potentials: the WBM-MatPES benchmark and Tuga-FF

Pierre-Paul De Breuck, Thalis H. B. da Silva, Antoine Loew +2

Universal machine-learning interatomic potentials hold the promise to replace costly ab initio calculations in materials science workflows. However, the accuracy and transferabilit…