Special Issue "Recent Advances and Applications of Machine Learning in Materials Science and Engineering"
Deadline for manuscript submissions: closed (20 October 2023) | Viewed by 7223
Interests: prediction of mechanical properties; data analysis in material science; artificial intelligence in material science and metallurgy; automated microstructure classification; intelligent information and decision systems for metallurgy
Research is increasing on the subject of using machine-learning methods to analyze microstructure photos and data of metal alloy data and the values of mechanical parameters of castings in order to verify their correct implementation. This is an important research trend. In this regard, research is carried out at various levels of general and micro-/nanoscales. The selection of tools based on artificial intelligence is also a real challenge.
The fast growth of the topic and increasing interest in the field from researchers with expertise in the areas of material science and beyond are the main reasons for this Special Issue on “Recent Advances and Applications of Machine Learning in Materials Science and Engineering”. Contributions should focus on new achievements, both theoretical and experimental, relative to the neural networks, predictive algorithms, and data analysis in material science. The issue aims to provide a platform for researchers working in the field to disseminate their ideas on the design and characterization of new configurations, highlighting novel dynamic phenomena and exploring promising applications. It should also stimulate a cross-fertilization between researchers of this field with other readers of the journal, providing the opportunity to find potential new research directions.
Dr. Dorota Wilk-Kołodziejczyk
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.
- prediction of mechanical properties
- data analysis in material science
- artificial intelligence in material science and metallurgy
- automated microstructure classification
- metal castings
- alloy microstructure
- phase constituent
- image analysis
- deep learning
- nanoscale advances