About the Webinar
This National Lab Discovery Series webinar featured Materials Data Driven Design (MAD3), a powerful simulation platform developed by Sandia National Laboratories that is transforming how engineers predict material behavior in design and manufacturing. By combining machine learning with materials science, MAD³ enables fast, accurate prediction of how metals deform in real-world applications—without relying on costly testing or compute-heavy simulations.
Designed for ease of use and broad accessibility, MAD³ runs through a web-based interface and requires no specialized hardware, helping teams reduce development time, avoid costly failures, and optimize performance across a range of manufacturing workflows.
Key Topics Covered
- How MAD³ predicts directional mechanical behavior (plastic anisotropy) in metals
- Application of machine learning to overcome traditional simulation bottlenecks
- Integration into forming, stamping, and structural simulation workflows
- Opportunities to evaluate, license, and co-develop MAD³ with Sandia
- Live Q&A with the Sandia development team
Featured Speakers
David Montes de Oca Zapiain, Ph.D. - R&D Scientist and Engineer, Sandia National Laboratories
Hojun Lim - R&D Scientist and Engineer, Sandia National Laboratories