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Advance AI in Materials Science
Addresses key issues and identifies future pathways in artificial intelligence implementation in materials science and engineering and related manufacturing processes.
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Convenes stakeholders from across nations, disciplines, and organizations to focus on integration priorities and gaps that need to be addressed in order to advance the field.
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Examines three-dimensional characterization, visualization, quantitative analysis, modeling, and development of structure–property relationships of materials, as well as big data and machine learning issues.