Optimization and Inverse-design Techniques for Metalens Synthesis

被引:0
|
作者
Campbell, Sawyer D. [1 ]
Whiting, Eric B. [1 ]
Jenkins, Ronald P. [1 ]
Werner, Pingjuan L. [1 ]
Werner, Douglas H. [1 ]
机构
[1] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA
来源
APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL | 2020年 / 35卷 / 11期
关键词
inverse-design; metamaterials; metasurfaces; nanoantennas; optimization; PHASE; RESOLUTION;
D O I
10.47037/2020.ACES.J.351136
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Phase-gradient metasurfaces enable designers to tailor the behavior of electromagnetic waves at surfaces by exploiting the generalized form of Snell's law. This ability has led to the investigation of metalenses which have the potential to significantly reduce the size, weight, and power (SWaP) of conventional optical systems. While traditional lenses are made from individual glasses, metalenses are comprised of patterned meta-atom unit cells which are arranged in such a way so as to give the metalens its desired behavior. Therefore, any metalens's performance is ultimately determined by that of its underlying unit cell components. However, designing meta-atoms that simultaneously achieve high performance over wide frequency bandwidths and fields-of-view is an extremely challenging problem that is best addressed with powerful optimization and inverse-design techniques.
引用
收藏
页码:1334 / 1335
页数:2
相关论文
共 50 条
  • [41] Inverse Design of Energy-Absorbing Metamaterials by Topology Optimization
    Zeng, Qingliang
    Duan, Shengyu
    Zhao, Zeang
    Wang, Panding
    Lei, Hongshuai
    ADVANCED SCIENCE, 2023, 10 (04)
  • [42] Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning
    Chen, Wei
    Sun, Rachel
    Lee, Doksoo
    Portela, Carlos M.
    Chen, Wei
    ADVANCED INTELLIGENT SYSTEMS, 2024,
  • [43] A Combined Machine-Learning/Optimization-Based Approach for Inverse Design of Nonuniform Bianisotropic Metasurfaces
    Naseri, Parinaz
    Pearson, Stewart
    Wang, Zhengzheng
    Hum, Sean, V
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2022, 70 (07) : 5105 - 5119
  • [44] Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects
    Kim, Junhyeong
    Kim, Jae-Yong
    Kim, Jungmin
    Hyeong, Yun
    Neseli, Berkay
    You, Jong-Bum
    Shim, Joonsup
    Shin, Jonghwa
    Park, Hyo-Hoon
    Kurt, Hamza
    NANOPHOTONICS, 2025, 14 (02) : 121 - 151
  • [45] A Novel Direct Optimization Framework for Hypersonic Waverider Inverse Design Methods
    Son, Jiwon
    Son, Chankyu
    Yee, Kwanjung
    AEROSPACE, 2022, 9 (07)
  • [46] Optimization and analysis of inverse design method of maximum thrust scramjet nozzles
    Yu, Kaikai
    Chen, Yile
    Huang, Shuai
    Lv, Zheng
    Xu, Jinglei
    AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 105
  • [47] Inverse Design and 3D Printing of a Metalens on an Optical Fiber Tip for Direct Laser Lithography
    Hadibrata, Wisnu
    Wei, Heming
    Krishnaswamy, Sridhar
    Aydin, Koray
    NANO LETTERS, 2021, 21 (06) : 2422 - 2428
  • [48] Optimization of the Design of the Inverse Converters of Compensation Accelerometers
    E. A. Mokrov
    A. A. Papko
    Measurement Techniques, 2004, 47 : 481 - 483
  • [49] Inverse Design of Plasmonic Nanotweezers by Topology Optimization
    Nelson, Damian
    Kim, Sejeong
    Crozier, Kenneth B.
    ACS PHOTONICS, 2023, 11 (01) : 85 - 92
  • [50] Coupled problem of the inverse design and constraint optimization
    Veress, Arpad
    Felfoeldi, Attila
    Gausz, Tamas
    Palkovics, Laszlo
    APPLIED MATHEMATICS AND COMPUTATION, 2013, 219 (13) : 7115 - 7126