FAIRChem hosts the UMA (Universal Models for Atoms) family of machine-learned interatomic potentials that predict energy, forces, and stress for atomic systems across catalysis, materials, molecules, MOFs, and molecular crystals via a single model with task-specific heads, exposed through the ASE FAIRChemCalculator.