Jonas Grandel

Targeted fine-tuning of machine-learning interatomic potentials for phonons and phase transitions

Abstract Machine-learning interatomic potentials are widely used as computationally efficient surrogates for density functional theory in atomistic simulations, enabling large-scale and long-time modeling of materials systems. Here, we investigate how different fine-tuning strate...