Jaime Marian

PFT: Phonon Fine-tuning for Machine Learned Interatomic Potentials

Many materials properties depend on higher-order derivatives of the potential energy surface, yet machine learned interatomic potentials (MLIPs) trained with a standard loss on energy, force, and stress errors can exhibit error in curvature, degrading the prediction of vibrational properties. We int…