Application of Machine Learning in Metallic Materials
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Computation and Simulation on Metals".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 40
Special Issue Editors
2. Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva cesta 6, 1000 Ljubljana, Slovenia
3. College of Industrial Engineering, Mariborska cesta 2, 3000 Celje, Slovenia
Interests: optimization; modeling; applied artificial intelligence; evolutionary computation; genetic algorithm; genetic programming
Special Issues, Collections and Topics in MDPI journals
Interests: control systems; cyber–physical systems; machining; optimization; modeling; applied artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of machine learning techniques—continually relevant across scientific and engineering disciplines—has opened new frontiers in the design, processing, characterization, and performance prediction of metallic materials. By harnessing data-driven approaches, researchers and engineers can uncover hidden correlations within complex datasets, optimize manufacturing processes, and accelerate the development of novel metallic materials.
This Special Issue will compile cutting-edge research demonstrating how machine learning can address persistent challenges in the field of metallic materials. Contributions presenting practical solutions and examples of industrial implementation are particularly encouraged.
This Special Issue in Metals covers recent advances in the modeling, prediction, and optimization of various processes related to metallic materials, including but, not limited to, primary processes (e.g., casting, powder metallurgy), deformation processes (e.g., rolling, forging, deep drawing), heat treatment, surface engineering (e.g., electroplating, thermal spraying), joining processes (e.g., welding, soldering), and machining operations (e.g., drilling, grinding, polishing).
Dr. Miha Kovačič
Dr. Uroš Župerl
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. Metals is an international peer-reviewed open access monthly 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
- metallic materials
- machine learning
- modeling
- prediction
- optimization
- practical implementation
- industrial study
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
