Machine learning assisted intelligent design of meta structures: a review
Abstract
In recent years, the rapid development of machine learning (ML) based on data-driven or environment interaction has injected new vitality into the field of meta-structure design. As a supplement to the traditional analysis methods based on physical formulas and rules, the involvement of ML has greatly accelerated the pace of performance exploration and optimization for meta-structures. In this review, we focus on the latest progress of ML in acoustic, elastic, and mechanical meta-structures from the aspects of band structures, wave propagation characteristics, and static characteristics. We finally summarize and envisage some potential research directions of ML in the field of meta-structures.
Details
- Organisationseinheit(en)
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Institut für Photonik
- Externe Organisation(en)
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Tongji University
Universitat Jaume I
Bauhaus-Universität Weimar
- Typ
- Übersichtsarbeit
- Journal
- Microstructures
- Band
- 3
- Publikationsdatum
- 09.10.2023
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (sonstige)
- Elektronische Version(en)
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https://doi.org/10.20517/microstructures.2023.29 (Zugang:
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)
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