Predictive Models: AI algorithms can learn from chemical data to predict outcomes of reactions, properties of compounds, or biological activities, making the design process faster and more efficient (Figure ). Digital Reticular Chemistrypioneered by Omar Yaghiis a complete cycle consisting of a comprehensive database for metal-organic-frameworks (MOFs), computational and experimental discovery cycles, and a human-digital interface (Figure ).