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Adjoint-based optimization of active nanophotonic devices.

Jiahui Wang, Yu Shi, Tyler Hughes

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    |February 7, 2018
    PubMed
    Summary

    We combined two methods for efficient nanophotonic device optimization. This approach successfully reduced the size of a dynamic isolator while maintaining its performance.

    Area of Science:

    • Nanophotonics
    • Computational Electromagnetics

    Background:

    • Active nanophotonic devices require efficient design and optimization.
    • Sensitivity analysis is crucial for understanding device performance and guiding optimization.

    Purpose of the Study:

    • To develop an efficient method for sensitivity calculations in nanophotonics.
    • To demonstrate the systematic optimization of active nanophotonic devices using the developed method.

    Main Methods:

    • Combining the adjoint variable method with the multi-frequency finite-difference frequency-domain (FDFD) method.
    • Performing sensitivity calculations for nanophotonic device design.

    Main Results:

    • Achieved efficient sensitivity calculations for nanophotonic devices.

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  • Successfully optimized a two-dimensional dynamic isolator structure.
  • Reduced the length of modulated regions by a factor of two.
  • Maintained high performance in isolation ratio and insertion loss.

    • Conclusions:

    • The adjoint variable method coupled with multi-frequency FDFD is effective for nanophotonic device optimization.
    • This approach enables systematic design improvements for active nanophotonic devices.