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Meeting Materials Science & Technology 2020
Symposium Materials Design through AI Process Optimization
Sponsorship
Organizer(s) Noah H. Paulson, Argonne National Laboratory
Tiberiu Stan, Northwestern University
Brandon Bocklund, Pennsylvania State University
Arun Kumar Mannodi Kanakkithodi, Argonne National Laboratory
Scope Over the past decade, there have been numerous demonstrated successes of artificial intelligence (AI) methods for the development of predictive tools in materials science. Much of this effort has focused on the connection of materials structure, ranging atom to component-scale, to materials properties. Recently, there has been a realization that materials structures designed in this fashion may or may not be physically manufactured or synthesized. To this end, this symposium will feature advanced AI and data analytics approaches that design materials properties and/or materials structures through the optimization of available or novel processing techniques.
Abstracts Due 03/15/2020
Proceedings Plan Undecided
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE
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