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Special Issue "Empowering Materials Processing and Performance from Data and AI"
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Simulation and Design".
Deadline for manuscript submissions: closed (15 March 2021) | Viewed by 17630
A printed edition of this Special Issue is available here.
Special Issue Editors
Interests: algorithms; industrial design; bioengineering; aerospace; engineering; aeronautical engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue in Sensors: Virtual Sensors for Industry 4.0 Era
Interests: model order reduction; scientific machine learning; data-driven computational mechanics; virtual and augmented reality
Interests: scientific machine learning; digital twins; process simulation/ materials modeling; local modification techniques; residual stress engineering; solid state joining processes
Special Issue Information
This Special Issue, “Empowering Materials Processing and Performances from Data and AI”, will address advances in materials engineering, with special emphasis on the bridging from raw materials, processing and the induced properties and performances. Third millennium engineering is addressing new challenges in materials sciences and engineering. The present topical issue aims at addressing four key challenges using data and artificial intelligence:
(i) processing data, for enhancing existing physic-based models or creating data-driven models from scratch when the former (physics-based) models are absent or too poor for making valuable predictions;
(ii) proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying, data and data-driven models;
(iii) enabling data to be smarter (in the same way that data allow enriching physics-based models, those models allow transforming big-data into smart-data);
(iv) inverting usual material engineering with all the just referred techniques, to discover materials and their processing for optimal properties/performances.
Original papers are solicited on all types of approaches and materials, scales and applications. Of particular interest are recent developments in the use of data and AI in the four axes mentioned before.
Prof. Francisco Chinesta
Prof. Elias Cueto
Prof. Benjamin Klusemann
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 2300 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.
- Materials properties
- Materials processing
- Materials performances
- Physics-based modeling
- Data-driven modeling
- Materials optimization
- Materials discovering