Thermal transport and phase transitions of zirconia by on-the-fly machine-learned interatomic potentials

Abstract Machine-learned interatomic potentials enable realistic finite temperature calculations of complex materials properties with first-principles accuracy. It is not yet clear, however, how accurately they describe anharmonic properties, which are crucial for predicting the lattice thermal cond... View More