This IRG develops machine learning models, molecular dynamics simulations, and automated experimentation platforms to understand and control complex phase transitions in molecular and supramolecular materials, studying three classes of functional materials: barocalorics, metal-organic frameworks, and proteins. Inverse design is used to create materials with enhanced thermal, porosity, and biological functionality for targeted applications.