Artificial Intelligence and Machine Learning for Material Design, Discovery, and Optimization
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Simulation and Design".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 65
Special Issue Editors
Interests: constitutive modeling; multifunctional materials; physics informed machine learning; additive manufacturing
Special Issue Information
Dear Colleagues,
This Special Issue focuses on recent advancements in the use of artificial intelligence (AI) and machine learning (ML) techniques in the broad field of material science. The rapid advancement of AI/ML and their subsequent adoption by the scientific community has seen an explosion in research in this field. We welcome contributions focusing on the use of AI/ML techniques for computational, experimental, and/or theoretical purposes. We seek manuscripts that focus on the successful deployment of technologies in application topics including, but not limited to, material discovery, high throughput experimentation and data analysis, the optimization of material processing, multiscale modeling and simulation, optimal experimental design, etc. Special interest will be given to those manuscripts which leverage AI/ML techniques beyond pure data-driven techniques and which create “black-box” discoveries. For example, the successful combination of AI/ML for the discovery of fundamental physical laws will be of particular interest.
Dr. Craig M. Hamel
Dr. Devin J. Roach
Guest Editors
Manuscript Submission Information
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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. Materials 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
- smart materials
- polymers
- additive manufacturing
- recyclable materials
- physics-informed machine learning
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