A wrong ground-state structure of HfO${}_2$ predicted by machine-learning interatomic potentials based on the PBE functional

Shuqi Tang, Jinchen Wei, Kang Wang +4

Machine-learning interatomic potentials (MLIPs) have become powerful tools for material simulations. Many MLIPs are trained based on density functional theory (DFT) datasets genera…