Composite resin formulation with AI and machine learning in action
Date & Time 
Location - Virtual
If you have trouble registering, please email marketing@schrodinger.com
Composite performance depends heavily on matrix properties that govern processability and operational stability. Increased digitization is providing clear value across industries, but successful application in composite resin formulations requires a clear understanding of the key questions and insight into the critical design factors. Combining expert know-how and atomic-level detail with powerful AI and ML tools enables resin formulation teams to maximize successful design initiatives.
This webinar with demos will demonstrate how integrating ML with molecular simulation enables faster, more informed development of next-generation resin formulations.
Key Highlights
- Discover how AI/ML aids in designing polymer and ceramic matrix composites, focusing on critical matrix properties
- Learn why successful resin formulation requires increased digitization for both experimentation and simulation
- See how integrating chemistry expertise with AI/ML tools leads to better decision-making and outcomes
- Explore how ML and molecular simulation accelerate the development of new resin formulations
Our Speaker
Andrea Browning
Senior Director of Polymers and Soft Matter, Schrödinger
Andrea leads initiatives in polymer and soft matter simulations. Prior to Schrödinger, Andrea was a lead research engineer and project manager at Boeing, where she focused on translating engineering problems into fundamental materials insights. She brings over a decade of experience in connecting industrial and engineering problems to root materials issues and how simulations can be used to inform industrial decisions. Andrea earned her Ph.D. in Chemical Engineering from the University of California, Santa Barbara, where she was a National Science Foundation Graduate Research Fellow.