FAIRChem v2 UMA for atomistic simulation

FAIRChem v2 introduces the UMA universal machine-learning interatomic potential for atomistic simulation across molecules, catalysts, and materials. The framework supports workflows including single-point energy prediction, geometry optimization, spin-state comparison, and molecular dynamics.