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EML Editorial Policy Update

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EML
Editorial Policy
academic publishing

Length of regular research papers should be less than 4000 words; total number of figures is limited to 6.

Submissions not in compliance with the limits will be automatically “rejected without review”.

If the editors feel the submission has scientific merits but over the page/figure limits, they can suggest that the authors reformat the article (reduce or combine figures, reduce length) and resubmit. In that case, the authors should resubmit to the same editor since the submission may be flagged for “duplicate submission”.

Prof. Xuanhe Zhao of MIT Joins Extreme Mechanics Letters as Co-Editor-in-Chief

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EML

Extreme Mechanics Letters (EML) is thrilled to announce the appointment of Professor Xuanhe Zhao of the Massachusetts Institute of Technology (MIT) as Co-Editor-in-Chief of EML. Professor Zhao is a world-renowned expert in the mechanics of materials and soft robotics.

Call for nominations of Extreme Mechanics Letters Young Investigator Award 2024

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Extreme Mechanics Letters
Young Investigator Award

The Extreme Mechanics Letters (EML) Young Investigator Award (YIA) 2024 edition is organized by the journal and Elsevier to honor the best paper by a young scientist. The papers must have been published in volumes 63-69, from 2023 to 2024.

The award is made annually to the corresponding authors of the paper who received their Ph.D. no more than 10 years prior to the year of award. Corresponding authors who have yet to receive a Ph.D. will also be considered and self-nominations are allowed. 

EML Special Issue Call for Paper: Machine Learning and Mechanics

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Extreme Mechanics
Special issue
machine learning

Extreme Mechanics Letters (EML) Special Issue: Call for Paper 

Machine Learning and Mechanics

 

Over the past decade, there has been a growing interest in applying machine learning techniques to problems in mechanics. From material design optimization, manufacturing, to multiscale modelling, to real time prediction and autonomy, data mining and analysis, machine learning techniques have had a massive impact in the field.

Appointments of new Special EML Editors

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EML

Extreme Mechanics Letters (EML) is very pleased to announce the appointments of the following individuals as Special EML Editors:

 

Zheng Jia, Zhejiang University (zheng.jia [at] zju.edu.cn): Special EML Editor for EML Webinars – Young Researchers Forum 

Mingchao Liu, University of Birmingham (m.liu.2 [at] bham.ac.uk): Special EML Editor for Social Media Engagement 

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