Automated High-Throughput Lab for Materials in Extreme Environments

This seminar from the Henry Royce Institute features Prof. Todd Hufnangel from Johns Hopkins University discussing the development and capabilities of the "Artificial Intelligence for Materials Design Laboratory" (AIMD-L). Discover how this specialized automated and autonomous laboratory has been designed for high-throughput characterization of structural materials in extreme environments. Learn about its unique capabilities, including a station for automated laser microflyer impact studies of shock behavior and a combined high-energy x-ray diffraction and x-ray fluorescence instrument for characterizing bulk microstructure and composition. Understand the central role of the powerful OpenMSI data architecture, which enables autonomous streaming and processing of data to users and computational models. The presentation highlights how such automated laboratories are increasingly valuable for generating extensive data needed to train machine-learning algorithms for materials exploration and design.