AI-driven approaches in electromagnetic metamaterials design and application: a review

At present, the increasingly sophisticated functional demands for electromagnetic metamaterials pose significant challenges to conventional design approaches reliant on numerical simulation and empirical knowledge, particularly in terms of computational efficiency and design capability. The integrat...

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Autori principali:	Yu Haoyang, Liu Zixuan, Hou Rui, Zhang Zidong
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	EDP Sciences 2025-01-01
Serie:	EPJ Applied Metamaterials
Soggetti:	electromagnetic metamaterials artificial intelligence-driven forward prediction and inverse design mechanism analysis intelligent design
Accesso online:	https://epjam.edp-open.org/articles/epjam/full_html/2025/01/epjam250030/epjam250030.html
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