JOM Editorial Calendar - Topic Details

Machine Learning in Design, Synthesis, and Characterization of Composite Materials

Manuscript Submission Deadline: February 01, 2021
Guest Editor: Nikhil Gupta
Co-Guest Editors: Simona Hunyadi Murph
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Sponsored By: Composite Materials
Publication Date: July 2021
Keywords: Advanced Materials, Composites, Computational Materials Science & Engineering, Mechanical Properties, Machine learning
Scope: Machine learning methods are enabling unprecedented advances in the area of composite materials. These methods are versatile in handling a large number of parameters and are helping in developing novel materials structures and compositions for the given application requirements. This topic is intended to cover all aspects of application of machine learning methods to the field of composite materials, including design of microstructure, synthesis condition optimization, and evaluation of properties.
Call for Papers: Download

How to Submit a Manuscript

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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