Robust and scalable uncertainty estimation with conformal prediction for machine-learned interatomic potentials

Yuge Hu, Joseph Musielewicz, Zachary Ulissi +1

Uncertainty quantification (UQ) is important to machine learning (ML) force fields to assess the level of confidence during prediction, as ML models are not inherently physical and…