Applications of Machine Learning in Materials Development and Manufacturing
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Manuscript Submission Deadline:
July 01, 2024
Co-Guest Editors: Victoria Miller
Sponsored By: Other-Invited
Publication Date: January 2025
Keywords: Additive Manufacturing, Modeling and Simulation, Machine Learning, Artificial Intelligence
Scope: Machine learning (ML) and artificial intelligence (AI) have become the focus of many research efforts across numerous scientific fields. As a result, there has been a rapid growth in the development and application of exciting new tools, with some beginning to percolate through the materials science and engineering fields. This topic covers the use of ML and AI for the advancements of manufacturing processes and the development of new materials, material combinations, and microstructures. Specific topics of interest include approaches/tools for (1) developing new alloys, (2) analyzing/utilizing in-process monitoring data, (3) designing novel processing strategies, (4) predicting component performance, and (5) qualifying components, (6) targeted design and optimization of alloy compositions, (7) microstructural engineering during processing, and (8) hierarchical or architectured materials.