Researchers developed an AI-assisted computational pipeline that combines symmetry-guided screening, machine learning, and density functional theory to search for altermagnetic metal-organic frameworks. The approach also identified molecular features associated with altermagnetism and spin splitting, providing design rules for selecting future candidates for computational and experimental study.
