JOM Editorial Calendar - Topic Details

CANCELLED: Advances and Applications of Machine Learning in Materials Research

Manuscript Submission Deadline: October 01, 2022
Guest Editor: Theron Rodgers
Co-Guest Editors: Xiaofeng Qian
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Publication Date: May 2023
Keywords: Computational Materials Science & Engineering, Cyber Infrastructure, ICME, Modeling and Simulation, machine learning
Scope: Machine learning (ML) is impacting all disciplines of science and engineering. This topic will cover the impact of ML on experimental and computational materials science with interest in both algorithm advancements and examples of application. Specific topics of interest include advances in machine learning force fields, high- and medium-throughput computational frameworks, computational and experimental databases, feature/descriptor engineering, uncertainty quantification, data-driven model calibration and validation, and machine learning approaches to bridging length and time scales.
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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