Deep Learning Approaches in Designing Electromagnetic Metamaterials (Invited)

Donglai Wang; Hui Zhang; Yiming Ma; Zhanshan Wang; Xinbin Cheng

doi:10.3788/AOSOL240476

Acta Optica Sinica (Online), Volume. 2, Issue 10, 1001001(2025)

Deep Learning Approaches in Designing Electromagnetic Metamaterials (Invited)

Donglai Wang^1,2,3,4, Hui Zhang^1,2,3,4、*, Yiming Ma^5,6、**, Zhanshan Wang^1,2,3,4, and Xinbin Cheng^{1,2,3,4、***}

¹School of Physics Science and Engineering, Institute of Precision Optical Engineering, Tongji University, Shanghai 200092, China

²MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China

³Shanghai Frontiers Science Research Base of Digital Optics, Shanghai 200092, China

⁴Shanghai Professional Technical Service Platform for Full-Spectrum and High-Performance Optical Thin Film Devices and Applications, Shanghai 200092, China

⁵School of Microelectronics, Shanghai University, Shanghai 200444, China

⁶Shanghai Collaborative Innovation Center of Intelligent Sensing Chip Technology, Shanghai 200444, China

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References(113)

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Donglai Wang, Hui Zhang, Yiming Ma, Zhanshan Wang, Xinbin Cheng. Deep Learning Approaches in Designing Electromagnetic Metamaterials (Invited)[J]. Acta Optica Sinica (Online), 2025, 2(10): 1001001

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Paper Information

Category: Optics and Optoelectronic Materials

Received: Dec. 23, 2024

Accepted: Mar. 6, 2025

Published Online: May. 12, 2025

The Author Email: Hui Zhang (jovie_huizhang@tongji.edu.cn), Yiming Ma (yimingma@shu.edu.cn), Xinbin Cheng (chengxb@tongji.edu.cn)

DOI:10.3788/AOSOL240476

CSTR:32394.14.AOSOL240476

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology