JOM Editorial Calendar - Topic Details

Machine Learning and Other Emergent Paradigms in Computational Materials Research (By Invitation Only)

Manuscript Submission Deadline: September 01, 2020
Guest Editor: Jorge A. Muñoz
Co-Guest Editors: Sara Kadkhodaei
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Sponsored By:
Publication Date: February 2021
Keywords: Computational Materials Science & Engineering, Modeling and Simulation, Machine Learning
Scope: The field of computational materials science has been applying essential concepts of machine learning such as guessing and iteratively optimizing solutions, interpolating functions in high-dimensional space, and manipulating patterns in data, effectively since its inception. Recent developments in learning theory and practice, along with the proliferation of data and cheap computing, have resulted in promising new methods and enhanced embodiments of established techniques. This special topic comprises invited papers presented at the  Computational Thermodynamics and Kinetics Symposium during the TMS 2020 Annual Meeting & Exhibition. 

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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