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Related Experiment Video

Updated: Oct 21, 2025

Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities
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Si photonic crystal slow-light waveguides optimized through informatics technology.

Keisuke Hirotani, Ryo Shiratori, Toshihiko Baba

    Optics Letters
    |September 1, 2021
    PubMed
    Summary

    Researchers developed a novel silicon photonic crystal waveguide using machine learning. This structure achieves low-dispersion slow light with a group index of 20 across the C-band, nearing theoretical limits for enhanced optical applications.

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    Area of Science:

    • Photonics
    • Materials Science
    • Machine Learning

    Background:

    • Photonic crystal waveguides are crucial for manipulating light.
    • Achieving slow light with low dispersion and high bandwidth is a key challenge in integrated photonics.

    Purpose of the Study:

    • To model and discover a silicon photonic crystal waveguide structure for low-dispersion slow light.
    • To optimize the transition between the novel waveguide and standard silicon-channel waveguides.

    Main Methods:

    • Machine learning was employed to model the photonic bands of SiO2-cladded Si lattice-shifted photonic crystal waveguides.
    • Evolutional optimization was used to design the transition structure.

    Main Results:

    • A waveguide structure was identified, yielding a group index of approximately 20 in the C-band with low dispersion.
    • A normalized delay-bandwidth product of 0.45 was achieved, close to the theoretical maximum.
    • An average transition loss of 0.116 dB/transition was calculated for the C-band.

    Conclusions:

    • The study demonstrates a viable approach to creating versatile slow-light devices.
    • The developed photonic crystal waveguide shows significant potential for advanced optical communication systems.