JOM Editorial Calendar - Topic Details

Applications of Machine Learning in Materials Development and Additive Manufacturing

Manuscript Submission Deadline: May 01, 2023
Guest Editor: Michael Groeber
Co-Guest Editors: Victoria Miller
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Sponsored By: Other-Invited
Publication Date: November 2023
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 additive manufacturing (AM) processes and the development of new materials, material combinations, and microstructures. Specific topics of interest include approaches/tools for (1) developing new alloys tailored to AM, (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.
Call for Papers: Download

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Please read the detailed Instructions for Authors and upload your manuscript at the Editorial Manager website for JOM. To ensure sufficient time for peer review, papers will not be accepted after the posted manuscript submission deadline. Original research papers should be 3,000-9,000 words with up to 12 figures maximum; review papers should be 6,000-11,000 words with up to 20 figures maximum.

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