Computational design of mechanical metamaterials.

Autor: Bonfanti S; Center for Complexity and Biosystems, Department of Physics 'Aldo Pontremoli', University of Milan, Milano, Italy.; NOMATEN Centre of Excellence, National Center for Nuclear Research, Swierk/Otwock, Poland., Hiemer S; Center for Complexity and Biosystems, Department of Physics 'Aldo Pontremoli', University of Milan, Milano, Italy.; Institute of Materials Simulation, Department of Materials Science Science and Engineering, Friedrich-Alexander-University Erlangen-Nuremberg, Fürth, Germany.; Consiglio Nazionale delle Ricerche, Istituto di Chimica della Materia Condensata e di Tecnologie per l'Energia, Milano, Italy., Zulkarnain R; Center for Complexity and Biosystems, Department of Physics 'Aldo Pontremoli', University of Milan, Milano, Italy., Guerra R; Center for Complexity and Biosystems, Department of Physics 'Aldo Pontremoli', University of Milan, Milano, Italy., Zaiser M; Institute of Materials Simulation, Department of Materials Science Science and Engineering, Friedrich-Alexander-University Erlangen-Nuremberg, Fürth, Germany. michael.zaiser@fau.de., Zapperi S; Center for Complexity and Biosystems, Department of Physics 'Aldo Pontremoli', University of Milan, Milano, Italy. stefano.zapperi@unimi.it.; Consiglio Nazionale delle Ricerche, Istituto di Chimica della Materia Condensata e di Tecnologie per l'Energia, Milano, Italy. stefano.zapperi@unimi.it.
Jazyk: angličtina
Zdroj: Nature computational science [Nat Comput Sci] 2024 Aug; Vol. 4 (8), pp. 574-583. Date of Electronic Publication: 2024 Aug 27.
DOI: 10.1038/s43588-024-00672-x
Abstrakt: In the past few years, design of mechanical metamaterials has been empowered by computational tools that have allowed the community to overcome limitations of human intuition. By leveraging efficient optimization algorithms and computational physics models, it is now possible to explore vast design spaces, achieving new material functionalities with unprecedented performance. Here, we present our viewpoint on the state of the art of computational metamaterials design, discussing recent advances in topology optimization and machine learning design with respect to challenges in additive manufacturing.
(© 2024. Springer Nature America, Inc.)
Databáze: MEDLINE
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