One Path to Model Them All: Learnable-Time Flow Matching for Crystal Structure and Energy Prediction
UniPath is proposed, a novel framework based on Learnable-Time Flow Matching that unifies crystal structure and energy prediction within a single probability path, and theoretically proves that under optimal velocity fields, these paths converge to a consistent trajectory.