Inverse design of slow light devices at telecommunication band based on metamaterials using a deep learning attempt

Zhang, Ying; Huang, Junpeng; Gu, Leilei; Xie, Sai‐Sai; Hong, Yuhan; Guo, Jianping

doi:10.1016/j.optcom.2023.129456

Optics Communications

2023

DOI: 10.1016/j.optcom.2023.129456

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Inverse design of slow light devices at telecommunication band based on metamaterials using a deep learning attempt

Ying Zhang

Junpeng Huang

Leilei Gu

et al.

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Cited by 2 publications

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Modeling and design of architected structures and metamaterials assisted with artificial intelligence

Mora,

Herrera-Ramos,

Ramirez-Gutierrez

et al. 2024

Mater. Res. Express

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Architected structures and metamaterials have attracted the attention of scientists and engineers due to the contrast in behavior compared to the base material they are made from. This interest within the scientific and engineering community has lead to the use of computational tools to accelerate the design, optimization, and discovery of architected structures and metamaterials. A computational tool that has gained popularity in recent years is artificial intelligence (AI). There are several AI algorithms and as many have been used in the field of architected structures and metamaterials. AI has been used for different objectives and with different degrees of success. Then, in this review we identify the different AI used to study architected structures and metamaterials, identify the purpose of using the AI, and discuss their advantages and disadvantages. Additionally, trends in the usage of AI and particular architected structures and metamaterials are identified. Finally, perspectives regarding new directions and areas of opportunity for the use of AI in the study of architected structures and metamaterials are presented.

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Modeling and design of architected structures and metamaterials assisted with artificial intelligence

Mora,

Herrera-Ramos,

Ramirez-Gutierrez

et al. 2024

Mater. Res. Express

View full text Add to dashboard Cite

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A Novel Approach for Achieving Slow Light With Ultra-Low Dispersion in Plasmonic Device

Chai

Xie

et al. 2023

IEEE Trans. Nanotechnology

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Inverse design of slow light devices at telecommunication band based on metamaterials using a deep learning attempt

Cited by 2 publications

References 30 publications

Modeling and design of architected structures and metamaterials assisted with artificial intelligence

Modeling and design of architected structures and metamaterials assisted with artificial intelligence

A Novel Approach for Achieving Slow Light With Ultra-Low Dispersion in Plasmonic Device

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