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Multifunctional Metasurface Design with a Generative Adversarial Network
Author(s) -
An Sensong,
Zheng Bowen,
Tang Hong,
Shalaginov Mikhail Y.,
Zhou Li,
Li Hang,
Kang Myungkoo,
Richardson Kathleen A.,
Gu Tian,
Hu Juejun,
Fowler Clayton,
Zhang Hualiang
Publication year - 2021
Publication title -
advanced optical materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.89
H-Index - 91
ISSN - 2195-1071
DOI - 10.1002/adom.202001433
Subject(s) - computer science , multiplexing , iterative and incremental development , polarization (electrochemistry) , design process , engineering design process , fabrication , computer engineering , materials science , electronic engineering , nanotechnology , work in process , mechanical engineering , engineering , telecommunications , chemistry , operations management , software engineering , medicine , alternative medicine , pathology
Metasurfaces have enabled precise electromagnetic (EM) wave manipulation with strong potential to obtain unprecedented functionalities and multifunctional behavior in flat optical devices. These advantages in precision and functionality come at the cost of tremendous difficulty in finding individual meta‐atom structures based on specific requirements (commonly formulated in terms of EM responses), which makes the design of multifunctional metasurfaces a key challenge in this field. In this paper, a generative adversarial network that can tackle this problem and generate meta‐atom/metasurface designs to meet multifunctional design goals is presented. Unlike conventional trial‐and‐error or iterative optimization design methods, this new methodology produces on‐demand free‐form structures involving only a single design iteration. More importantly, the network structure and the robust training process are independent of the complexity of design objectives, making this approach ideal for multifunctional device design. Additionally, the ability of the network to generate distinct classes of structures with similar EM responses but different physical features can provide added latitude to accommodate other considerations such as fabrication constraints and tolerances. The network's ability to produce a variety of multifunctional metasurface designs is demonstrated by presenting a bifocal metalens, a polarization‐multiplexed beam deflector, a polarization‐multiplexed metalens, and a polarization‐independent metalens.