Machine Learning: Materials Development
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Manuscript Submission Deadline:
May 01, 2023
Co-Guest Editors: Michael Groeber
Sponsored By: Other-Invited
Publication Date: November 2023
Keywords: Alloy Phases,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. The use of ML and AI for the development of new materials, material combinations, and microstructures is the focus of this topic. Specific topics of interest include new approaches or tools for (1) targeted design and optimization of alloy compositions, (2) microstructural engineering during processing, and (3) hierarchical or architectured materials.
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