Data-driven Materials Innovation: Where Machine Learning Meets Physics

This webinar will demonstrate how Schrödinger’s tools can help speed up materials innovation, save time and cost by leveraging a combination of physics-based simulations and chemistry-informed machine learning. It will highlight case studies in therapeutics and materials discovery, and discuss how this integrated approach can transform materials innovation across a wide-range of technology verticals. Attendees will learn how to use the software platform to discover high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost.