ADVANCED MATERIALS & PROCESSES | MAY/JUNE 2024 14 Several case studies show how the discovery, development, and deployment of novel materials are being dramatically accelerated through automation and data-driven models. *Member of ASM International Pacific Northwest National Laboratory (PNNL) created a new AI model for materials science that can identify patterns in electron microscope images without human guidance. Illustration courtesy of Cortland Johnson/PNNL. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN MATERIALS SCIENCE Joshua Stuckner* NASA Glenn Research Center Cleveland S. Mohadeseh Taheri-Mousavi Departments of Materials Science and Engineering and Mechanical Engineering Carnegie Mellon University, Pittsburgh James E. Saal* Citrine Informatics Redwood City, California MATERIALS INFORMATICS
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