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Submit a Manuscript to the Journal
International Journal for Computational Methods in Engineering Science and Mechanics

For a Special Issue on
Scientific Machine Learning (SciML) and its application to Mechanics

Abstract deadline
30 June 2022

Manuscript deadline
31 October 2022

Cover image - International Journal for Computational Methods in Engineering Science and Mechanics

Special Issue Editor(s)

Arun R. Srinivasa, Dept of Mechanical Engineering, Texas A&M University
[email protected]

Kumar Vemaganti, Sandia National Laboratories
[email protected]

Ulisses Braga-Neto, Deaprtment of Electrical and Computer Engineering, Texas A&M University
[email protected]

Submit an ArticleVisit JournalArticles

Scientific Machine Learning (SciML) and its application to Mechanics

In recent years, scientific machine learning (SciML) has emerged as a powerful tool to solve problems in engineering scince . The goal of this special issue is to bring together such research and document the cutting edge of SML in mechanics..The promise of SciML lies in the idea that it is possible and indeed advantageous to learn the behavior of systems, materials and the very nature of solutions to problems in mechanics.

While the idea of machine learning itself is not new, the increasing availability of computing power has made it practicable to use SML in the context of mechanics. As is clear from the number of articles in recent mechanics literature, several researchers are pursuing SML approaches in a wide range of disciplines like solid,structural, thermal and fluid mechanics, to name just a few. We welcome contributions in all areas of mechanics and across the spectrum of machine learning approaches.

This includes (but is not limited to)

  • Applications of physics-informed neural networks and physics-informed generative adversarial networks
  • SciML for reduced order modeling
  • Learning in the presence of uncertainty
  • SciML for multiscale and multiphysics problems
  • Offline solution of problems and generative design

Submission Instructions

Submissions on all aspects of SciML in mechanics are welcome. These include original research articles, survey/review  articles, and tutorial articles Papers will go through the usual review process as is done for other journal articles

The process for submission is as follows:

  1. Please email  title and  short abstracts to be emailed  to  [email protected]  with subject  line "CMESM special issue" by June 30 2022
  2. Final papers are due Oct 31, 2022, Select "Scientific Machine Learning (SciML) and its application to Mechanics" when submitting your paper
  3. Our aim is for publication by January of 2023.

 

Instructions for AuthorsSubmit an Article

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