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A physics-constrained deep generative framework for the intelligent inverse design of terahertz metamaterials

Designing advanced terahertz (THz) metamaterials is severely hampered by a critical workflow bottleneck, such as the design of toroidal dipoles metamaterials for sensing and communication. Traditional design is hindered by slow, computationally expensive simulations. Deep learning accelerates this p...

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Principais autores: Peng Xu, Shuang Wang, Ji Li, Zengji He, Huirong Wang, Yifan Tang, Lei Han, Xiang Li, Quan Li
Format: Artigo
Sprog:Inglês
Udgivet: IOP Publishing 2026-01-01
Serier:Materials Research Express
Fag:
inverse design
terahertz metamaterials
physics-constrained deep learning
Online adgang:https://doi.org/10.1088/2053-1591/ae3891
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