Phase transitions of zirconia: Machine-learned force fields beyond density functional theory

Machine-learned force fields (MLFFs) are becoming an increasingly important tool in materials science and physics. However, most MLFFs are constructed based on density functional theory (DFT) calculations, which come with significant limitations. Here, the authors combine an efficient on-the-fly act... View More