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XS-Meta

Cross-scale concurrent material-structure design using functionally-graded 3D-printed matematerials.

Grant period2021-09-01 - 2025-08-31
Funding bodyEuropean Union
Call numberH2020-MSCA-ITN-2020
Grant number956401
IdentifierG:(EU-Grant)956401

Note: The objective of the XS-Meta Innovative European Training Network project is to train a new generation of researchers in concurrent material-structure design of high-technology structural systems, using functionally graded 3D-printed metamaterials. By taking advantage of the unique technological opportunity that the revolution of 3D-printing (3DP) is bringing to industry and engineering, XS-Meta helps the European industry and future academic system by training a highly-educated, goal-oriented generation of scientists and engineers capable of developing high-tech, value-added products to maintain and increase its technological leadership, critical for high living standards in a global market XS-Meta takes full advantage of new 3D printing (3DP) possibilities at the microscale, to design functionally graded (FG), optimally architected, mechanical metamaterials (MMs) best-suited for the demands at every location in a component. XS-Meta constitutes a multidisciplinary change of paradigm on how engineering structural design has been performed to date, integrating the metamaterial design concurrently with the structural design through double inverse analyses and surrogate continuum models obtained by data-driven techniques. XS-Meta is a highly multidisciplinary and intersectoral project, involving leading high-tech companies in their field, a National Industrial and Research Centre and complementary leading academic research groups. XS-Meta has the right combination of excellence in research, academic training and industry experience, and high international and intersectoral mobility for developing innovation-oriented, entrepreneurial and creative researchers. XS-Meta involves “hands-on” experience for the recruited Early Stage Researchers (ESRs), including developing all the steps in the design, structural analysis, manufacturing and testing of high-technology prototypes.
   

Recent Publications

All known publications ...
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http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Dissertation / PhD Thesis  ;  ;
Computational homogenization and data-driven surrogate modeling of mechanical metamaterials
Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen () [10.18154/RWTH-2025-10667] = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2025  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;
Wrinkling instability of 3D auxetic bilayers in tension
Journal of the mechanics and physics of solids 204, 106301 () [10.1016/j.jmps.2025.106301]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;
Reduced-order structure-property linkages for stochastic metamaterials
Physical review materials 9(7), 075201 () [10.1103/8zzt-4b7z]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;
SPiFOL: A Spectral-based physics-informed finite operator learning for prediction of mechanical behavior of microstructures
Journal of the mechanics and physics of solids 203, 106219 () [10.1016/j.jmps.2025.106219]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;
Reduced-order structure-property linkages for stochastic metamaterials
23 Seiten () [10.48550/arXiv.2505.01283]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;
A two-scale computational homogenization approach for elastoplastic truss-based lattice structures
Results in engineering 25, 103976 () [10.1016/j.rineng.2025.103976]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article/Contribution to a book  ;  ;  ;  ;
FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design
Materials & Design 248, 113491 () [10.1016/j.matdes.2024.113491] special issue: "Artificial Intelligence-Enabled Material Innovations / edited by Assoc. Professor Enrico Salvati (University of Udine, Udine,, Italy), Assist. Prof. Edoardo Rossi (Roma Tre University, Roma,, Italy), Professor Alexander M. Korsunsky (University of Oxford Department of Engineering Science, Oxford,, United Kingdom)"  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;
A two-scale computational homogenization approach for elastoplastic truss-based lattice structures
40 Seiten () [10.48550/arXiv.2409.17293]  GO OpenAccess   Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;
A Spectral-based Physics-informed Finite Operator Learning for Prediction of Mechanical Behavior of Microstructures
35 Seiten () [10.48550/arxiv.2410.19027]  GO OpenAccess   Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Conference Presentation  ;  ;  ;
A two-scale computational homogenization framework for elastoplastic modeling of stretching-dominated truss-based metamaterials
8. International Conference on Material Modelling, ICMM8, LondonLondon, UK, 15 Jul 2024 - 17 Jul 20242024-07-152024-07-17  GO BibTeX | EndNote: XML, Text | RIS

All known publications ...
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 Record created 2023-02-11, last modified 2023-02-12



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