FAIRChem v2 UMA for Multidomain Atomistic Simulation across Molecules, Catalysts, Materials, Vibrations, and Molecular Dynamics

The tutorial shows how to set up FAIRChem v2 and authenticate with Hugging Face to access gated UMA weights.

It uses one pretrained UMA model with ASE to handle molecules, catalysts, and materials in a single workflow.

Examples include energy and force prediction, geometry optimization, vibrational analysis, adsorption, crystal relaxation, molecular dynamics, and surface scans.

The key takeaway is a unified machine-learning interatomic potential that can simplify and speed up atomistic simulation across domains.