Bringing Artificial Intelligence to Your Materials Organization

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Artificial intelligence (AI) will revolutionize science and technology—in particular, materials science and engineering. Does your organization know how to implement this game-changing technology? Go beyond conceptualizing to form a value proposition and set goals to support adoption.

Learn from researchers at the forefront of artificial intelligence to unlock the possibilities for your organization.

National Institute of Standards and Technology (NIST)

James Warren has been employed at NIST since 1992 in the Metallurgy Division and its successor the Materials Science and Engineering Division, within the Material Measurement Laboratory. He is one of the co-founders and the current director of the NIST Center for Theoretical and Computational Materials Science.

Since 2010, he has been focused on the U.S. Materials Genome Initiative, a multi-agency initiative designed to create a new era of policy, resources, and infrastructure that support U.S. institutions in the effort to discover, manufacture, and deploy advanced materials twice as fast, at a fraction of the cost. As director of the NIST Materials Genome Program, Warren works with a government-wide team to build out the materials innovation infrastructure needed to realize the goals of the initiative.

Warren’s research is broadly concerned with developing both models of materials phenomena, and the tools to enable the solution of these models. Specific foci include solidification, pattern formation, grain structures, wetting, diffusion, and spreading in metals.

Mercury Marine

Adam has been with Mercury Marine, in Fond du Lac, Wisconsin, for 16 years and is a technical specialist in the Manufacturing Foundry Operations group. His work in the foundry focuses on casting program management, aluminum casting evaluation, new technology assessments, alloy development, and continuous improvement. Prior to Mercury Adam worked in the automotive casting supply base at CMI International and INTERMET over a span of eight years.

Adam has a Bachelor of Science degree from the University of Michigan and a Master of Science degree from Worcester Polytechnic Institute (WPI); both in Materials Science and Engineering. He is currently a Ph.D. candidate in the Department of Materials Science and Engineering at WPI researching the application of machine learning to manufacturing process data in high-pressure die-casting.

Adam was honored with the 2020 William Frishmuth Foundry Person of the Year Award by the AFS Aluminum and Light Metals Division. His casting development research has been published by SAE, NADCA, AFS, and TMS.