Deep Learning Design for Loss Optimization in Metamaterials

Inherent material loss is a pivotal challenge that impedes the development of metamaterial properties, particularly in the context of 3D metamaterials operating at visible wavelengths. Traditional approaches, such as the design of periodic model structures and the selection of noble metals, have enc...

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Bibliographic Details
Main Authors: Xianfeng Wu, Jing Zhao, Kunlun Xie, Xiaopeng Zhao
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Nanomaterials
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Online Access:https://www.mdpi.com/2079-4991/15/3/178
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