Artificial Intelligence in Materials Science and Engineering (2nd Edition)—Manufacturing Techniques
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Simulation and Design".
Deadline for manuscript submissions: 30 June 2026
Special Issue Editors
Interests: materials sciences; metal forming; refill friction stir spot welding; numerical simulation; civil engineering; composite beams; genetic algorithms; neural networks
Special Issues, Collections and Topics in MDPI journals
Interests: metal forming; tribology; heat transfer through building partitions; artificial intelligence in technical solutions
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; fuzzy systems; population-based algorithms; neural networks; interpretability
Special Issues, Collections and Topics in MDPI journals
Interests: metal forming, sheet metal stamping; tribology; bioengineering; biomaterials; numerical simulation; friction stir welding; artificial neural network
Special Issues, Collections and Topics in MDPI journals
Interests: artificial neural network; thin-walled structures; composite beams; steel-concrete composite structures; refill friction stir spot welding; numerical simulation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the successful first edition of our Special Issue “Artificial Intelligence in Materials Science and Engineering”, a 2nd edition is being developed, aiming to collect and publish a series of state-of-the-art research in this field. The combination of Artificial Intelligence (AI) and Materials Science and Engineering has given rise to innovative approaches, accelerating the discovery, development and optimization of materials and technologies with improved properties. This constructive interaction holds immense promise for revolutionizing industries ranging from civil engineering to metal forming, ushering in a new era of material innovation.
AI plays a crucial role in predictive modeling, enabling researchers to simulate and understand the behavior of materials under various conditions. Machine learning algorithms analyze complex datasets to predict material responses to different external factors, such as temperature, pressure, or chemical exposure. This capability enhances our ability to design materials with tailored properties for specific applications. As we delve deeper into this interdisciplinary collaboration, the synergies between AI and Materials Science are expected to yield breakthroughs with far-reaching implications for diverse industries and technological advancements.
The objective of this Special Issue is to establish a knowledge platform that encourages researchers and engineers to advance research in the field of Materials Science and Engineering, employing diverse applications of artificial intelligence.
This Special Issue invites the submission of manuscripts that explore the utilization of AI in Materials Science and Engineering, particularly through classical and state-of-the-art manufacturing techniques. We encourage the submission of full papers on this subject.
Prof. Dr. Piotr Lacki
Prof. Dr. Janina Adamus
Prof. Dr. Krzysztof Cpałka
Prof. Dr. Wojciech Więckowski
Prof. Dr. Anna Derlatka
Guest Editors
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. 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
- artificial intelligence
- artificial neural network
- fuzzy system
- population-based algorithm
- genetic algorithms
- bioengineering
- metal forming
- civil engineering
- composite structures
- friction stir welding
- numerical simulation
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Related Special Issue
- Artificial Intelligence in Materials Science and Engineering in Materials (20 articles)
