Machine Learning: Deformation Processes
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Manuscript Submission Deadline:
May 01, 2023
Co-Guest Editors: Victoria Miller
Sponsored By: Other-Invited
Publication Date: November 2023
Keywords: Modeling and Simulation, Deformation, Artificial Intelligence, Machine Learning
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 application of ML and/or AI methods to the development of novel applications in the area of deformation processes will be examined in this topic area. Specific topics of interest include approaches/tools for (1) predicting microstructures that result from deformation pathways, (2) numerical design of thermomechanical processes, and (3) in-process control methods.
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