Machine Learning for Metamaterial Design: Methods, Challenges, and Future Perspectives
Metamaterials and metasurfaces enable advanced control of electromagnetic waves for applications such as cloaking, beam steering, and sensing, but their design is limited by nonlinear responses, high-dimensional parameter spaces, and expensive full-wave simulations. Machine learning (ML) has recentl...
Guardat en:
| Autors principals: | , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2026-01-01
|
| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/11540063/ |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|