JOM Editorial Calendar - Topic Details

Machine Learning and New Paradigms in Computational Materials Research

Manuscript Submission Deadline: April 01, 2022
Guest Editor: Sara Kadkhodaei
Co-Guest Editors: Eva Zarkadoula
,
Publication Date: September 2022
Keywords: Modeling and Simulation, Machine Learning, High-throughput Framework, Artificial Intelligence, Integrated computational materials engineering
Scope: The field of computational materials science has been applying essential concepts of machine learning such as 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 topic aims to showcase and review some of these developments.
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.

Share this Topic

Share this topic via e-mail