Hierarchical Design and Optimization of Silicon Photonics

被引:27
|
作者
Michaels, Andrew [1 ]
Wu, Ming C. [1 ]
Yablonovitch, Eli [1 ]
机构
[1] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
基金
美国国家科学基金会;
关键词
Silicon photonics; nanophotonics; inverse design; shape optimization; 3 dB coupler; 2; x; splitter; waveguide crossing; BROAD-BAND; ADIABATIC SPLITTER; INVERSE DESIGN; Y-JUNCTION; BEAM; EFFICIENCY; CROSSINGS; SWITCHES; COUPLERS; COMPACT;
D O I
10.1109/JSTQE.2019.2935299
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
Silicon photonics is a rapidly maturing platform for optical communication and sensing. As systems leveraging silicon photonics have grown in size and complexity, so too has the demand for high performance silicon photonics components. In order to meet these demands, we propose a hierarchical approach to design and optimization of silicon photonics components. Our approach applies simple physical analysis to choose an effective starting geometry for a two-step gradient-based shape optimization. This optimization employs carefully chosen geometrical constraints in order to consistently produce robust, high performance devices which satisfy practical fabrication constraints of deep UV lithography. In order to demonstrate the versatility of method, we optimize a 3 dB coupler which achieves better than 0.04 dB excess loss over the O-band, a four port 3-dB coupler which achieves better than 0.41 dB excess lass and near 50:50 splitting over the O-band, and a fabrication-tolerant waveguide crossing which achieves better than 0.075 dB insertion loss over the O-band even when subject to +/- 10% silicon thickness variations. These results pave the way for high efficiency silicon photonic component libraries.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Design grid optimization for OPC of silicon photonics (Conference Presentation)
    Wang, Wenhui
    Chen, Xiaochi
    Sun, Lei
    Piggott, Alexander Y.
    Vuckovic, Jelena
    Kye, Jongwook
    OPTICAL MICROLITHOGRAPHY XXX, 2017, 10147
  • [2] Design and optimization of subwavelength silicon photonics edge coupler for cleaved fibers
    Moura, Uiara
    Bustamante, Yesica
    Farias, Giovanni
    Snyder, Bradley
    Miller, Andy
    Van Campenhout, Joris
    Absil, Philippe
    2018 SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE (SBFOTON IOPC), 2018,
  • [3] Discrete global optimization algorithms for the inverse design of silicon photonics devices
    Teytaud, Olivier
    Bennet, Pauline
    Moreau, Antoine
    PHOTONICS AND NANOSTRUCTURES-FUNDAMENTALS AND APPLICATIONS, 2022, 52
  • [4] Design Challenges in Silicon Photonics
    Bogaerts, Wim
    Fiers, Martin
    Dumon, Pieter
    IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 2014, 20 (04)
  • [5] Silicon photonics integrated design
    Bogaerts, Wim
    Dumon, Pieter
    Fiers, Martin
    Ribeiro, Antonio
    Vanslembrouck, Michael
    2012 INTERNATIONAL CONFERENCE ON FIBER OPTICS AND PHOTONICS (PHOTONICS), 2012,
  • [6] Circuit design implications for silicon photonics
    Ho, Ron
    2013 IEEE OPTICAL INTERCONNECTS CONFERENCE, 2013, : 51 - 51
  • [7] Computational Lithography for Silicon Photonics Design
    Lin, Stephen
    Hammood, Mustafa
    Yun, Han
    Luan, Enxiao
    Jaeger, Nicolas A. F.
    Chrostowski, Lukas
    IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 2020, 26 (02)
  • [8] Schematic Driven Silicon Photonics Design
    Chrostowski, Lukas
    Lu, Zeqin
    Flueckiger, Jonas
    Pond, James
    Klein, Jackson
    Wang, Xu
    Li, Sarah
    Tai, Wei
    Hsu, En Yao
    Kim, Chan
    Ferguson, John
    Cone, Chris
    SMART PHOTONIC AND OPTOELECTRONIC INTEGRATED CIRCUITS XVIII, 2016, 9751
  • [9] A complete design flow for silicon photonics
    Pond, James
    Cone, Chris
    Chrostowski, Lukas
    Klein, Jackson
    Flueckiger, Jonas
    Liu, Amy
    McGuire, Dylan
    Wang, Xu
    SILICON PHOTONICS AND PHOTONIC INTEGRATED CIRCUITS IV, 2014, 9133
  • [10] Inverse Design for Silicon Photonics: From Iterative Optimization Algorithms to Deep Neural Networks
    Mao, Simei
    Cheng, Lirong
    Zhao, Caiyue
    Khan, Faisal Nadeem
    Li, Qian
    Fu, H. Y.
    APPLIED SCIENCES-BASEL, 2021, 11 (09):