Inverse design of high-NA metalens for maskless lithography

被引:11
作者
Chung, Haejun [1 ,2 ]
Zhang, Feng [3 ]
Li, Hao [5 ,6 ]
Miller, Owen D. D. [5 ,6 ]
Smith, Henry I. I. [3 ,4 ]
机构
[1] Hanyang Univ, Dept Elect Engn, Seoul 04763, South Korea
[2] Hanyang Univ, Dept Artificial Intelligence, Seoul 04763, South Korea
[3] LumArray Inc, 15 Ward St, Somerville, MA 02143 USA
[4] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA
[5] Yale Univ, Dept Appl Phys, New Haven, CT 06511 USA
[6] Yale Univ, Energy Sci Inst, New Haven, CT 06511 USA
基金
新加坡国家研究基金会;
关键词
inverse design; maskless lithography; metalens; TOPOLOGY OPTIMIZATION; PENALIZATION; FORMULATION; COMPACT;
D O I
10.1515/nanoph-2022-0761
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
We demonstrate an axisymmetric inverse-designed metalens to improve the performance of zone-plate-array lithography (ZPAL), one of the maskless lithography approaches, that offer a new paradigm for nanoscale research and industry. First, we derive a computational upper bound for a unit-cell-based axisymmetric metalens. Then, we demonstrate a fabrication-compatible inverse-designed metalens with 85.50% transmission normalized focusing efficiency at 0.6 numerical aperture at 405 nm wavelength; a higher efficiency than a theoretical gradient index lens design (79.98%). We also demonstrate experimental validation for our axisymmetric inverse-designed metalens via electron beam lithography. Metalens-based maskless lithography may open a new way of achieving low-cost, large-area nanofabrication.
引用
收藏
页码:2371 / 2381
页数:11
相关论文
共 50 条
  • [41] Diffusion probabilistic model based accurate and high-degree-of-freedom metasurface inverse design
    Zhang, Zezhou
    Yang, Chuanchuan
    Qin, Yifeng
    Feng, Hao
    Feng, Jiqiang
    Li, Hongbin
    [J]. NANOPHOTONICS, 2023, 12 (20) : 3871 - 3881
  • [42] Comparing forward and inverse design paradigms: A case study on refractory high-entropy alloys
    Arindam Debnath
    Lavanya Raman
    Wenjie Li
    Adam M. Krajewski
    Marcia Ahn
    Shuang Lin
    Shunli Shang
    Allison M. Beese
    Zi-Kui Liu
    Wesley F. Reinhart
    [J]. Journal of Materials Research, 2023, 38 : 4107 - 4117
  • [43] Inverse Design of Photonic Surfaces via High throughput Femtosecond Laser Processing and Tandem Neural Networks
    Park, Minok
    Grbcic, Luka
    Motameni, Parham
    Song, Spencer
    Singh, Alok
    Malagrino, Dante
    Elzouka, Mahmoud
    Vahabi, Puya H.
    Todeschini, Alberto
    de Jong, Wibe Albert
    Prasher, Ravi
    Zorba, Vassilia
    Lubner, Sean D.
    [J]. ADVANCED SCIENCE, 2024, 11 (26)
  • [44] AI-assisted inverse design of sequence-ordered high intrinsic thermal conductivity polymers
    Huang, Xiang
    Zhao, C. Y.
    Wang, Hong
    Ju, Shenghong
    [J]. MATERIALS TODAY PHYSICS, 2024, 44
  • [45] Inverse Design of High-Performance Thermoelectric Materials via a Generative Model Combined with Experimental Verification
    Long, Yanwu
    Zhong, Chengquan
    Ma, Xiaojing
    Zhang, Jingzi
    Yao, Honghao
    Liu, Jiakai
    Hu, Kailong
    Zhang, Qian
    Lin, Xi
    [J]. ACS APPLIED MATERIALS & INTERFACES, 2025, 17 (13) : 19856 - 19867
  • [46] Inverse design of ultranarrow and high-efficiency color filters based on tandem convolutional neural networks
    Wang, Zi-Dong
    Meng, Yan-Long
    Li, Yi
    Gao, Han
    Zhang, Tao
    Pan, Gui-Ming
    Kang, Juan
    Zhan, Chun-Lian
    [J]. OPTICS COMMUNICATIONS, 2024, 573
  • [47] Inverse design of high-performance grating structure for out-of-plane radiation of waveguide mode
    Yoon, Jinhyeong
    Kim, Jaeyong
    Kim, Junhyeong
    Yoon, Hyunho
    Park, Hyo-Hoon
    Kurt, Hamza
    [J]. SILICON PHOTONICS XVII, 2022, 12006
  • [48] Machine learning inverse design of high-strength mid-temperature Ag-based solders
    Jin, Chengchen
    Xiong, Kai
    Wang, Yingwu
    Zhang, Shunmeng
    Ye, Yunyang
    Fang, Hui
    Zhang, Aimin
    Dai, Hua
    Mao, Yong
    [J]. MATERIALS & DESIGN, 2025, 252
  • [49] Inverse design of high-Q wave filters in two-dimensional phononic crystals by topology optimization
    Dong, Hao-Wen
    Wang, Yue-Sheng
    Zhang, Chuanzeng
    [J]. ULTRASONICS, 2017, 76 : 109 - 124
  • [50] A PCA-ANN-based inverse design model of stall lift robustness for high-lift device
    Wang, Xinyu
    Wang, Shuyue
    Tao, Jun
    Sun, Gang
    Mao, Jun
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2018, 81 : 272 - 283