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Artificial Intelligence and Machine Learning in Design Advanced Materials and Structures in Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D1: Advanced Energy Materials".

Deadline for manuscript submissions: 10 April 2025 | Viewed by 51

Special Issue Editor


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Guest Editor
School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China
Interests: machine learning; AI-assisted structure optimization in manufacturing systems; failure analysis in advanced ceramic composites for nuclear energy

Special Issue Information

Dear Colleagues,

It is our great pleasure to invite submissions to this new Special Issue of Energies, titled “Artificial Intelligence and Machine Learning in Design Advanced Materials and Structures in Energy Systems”. The rapid development in the energy systems of energy storage devices, intelligent wearables, aerospace and automotive manufacturing industries has demonstrated an urgent need for advanced materials and structures with improved properties, advanced high-strength, ultra-lightweight, thermodynamic stability, and safety. Traditional experimental and computational methodologies face diverse challenges, including significant investment of time and money, low success probabilities, and high computational costs. The latest advancements in artificial intelligence and machine learning have increased the expectation that data-driven techniques would revolutionize scientific discoveries towards providing new paradigms for the development of advanced materials and structures in energy systems.

This Special Issue aims to collect contributions regarding the applications of artificial intelligence and machine learning techniques in the design and development of advanced materials and structures in energy systems in order to build and consolidate the knowledge in this subject area.

Dr. Yunmei Zhao
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • energy systems
  • advanced energy materials
  • mechanical properties prediction
  • artificial intelligence and machine learning
  • AI-assisted design
  • data-driven optimization strategies
  • engineering applications
  • design and discovery of advanced energy materials
  • high-performance multi-functional materials
  • manufacturing

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Published Papers

This special issue is now open for submission.
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