FAIRChem v2 and the UMA universal machine-learning interatomic potential were explored as a unified framework for atomistic simulation across molecular chemistry, catalysis, and inorganic materials. The environment was configured, authentication with Hugging Face was performed to access the gated UMA model weights, and task-specific calculators for the omol, oc20, and omat domains were initialized. The same pretrained potential was applied to workflows including single-point energy and force prediction, molecular geometry optimization, spin-state comparison, reaction-energy estimation, vibrational analysis, surface adsorption, crystal-cell relaxation, equation-of-state fitting, molecular dynamics, and potential-energy surface scanning. FAIRChem was integrated with the Atomic Simulation Environment to manage atomic structures, optimizers, constraints, thermodynamic calculations, and trajectory analysis while using GPU acceleration whenever available. The model "uma-s-1p2" was loaded with omol, oc20, and omat calculators.