JOM Editorial Calendar - Topic Details

Artificial Intelligence and Machine Learning in Energy Storage and Conversion Materials

Manuscript Submission Deadline: September 01, 2021
Guest Editor: Simona Hunyadi Murph
Co-Guest Editors: Surojit Gupta
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Publication Date: February 2022
Keywords: Advanced Materials, Computational Materials Science & Engineering, Energy, Energy Conversion and Storage, Nanotechnology, Artificial Intelligence (AI), Machine Learning (ML)
Scope: Artificial intelligence (AI) and machine learning (ML) have emerged as important tools for material scientists aimed at finding optimum solutions to complex scientific dilemmas. This special topic invites papers from industry, academia, and national labs that focus on AI and ML advances in field of materials design, characterization, and applications for energy storage and conversion.
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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