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Efficient design of nanoplasmonic waveguide devices using the space mapping algorithm.

Pouya Dastmalchi, Georgios Veronis

    Optics Express
    |February 12, 2014
    PubMed
    Summary
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    The space mapping algorithm efficiently designs nanoplasmonic waveguide devices by combining a simple model with complex simulations. This method significantly reduces computation time compared to direct optimization techniques.

    Area of Science:

    • Nanophotonics and Plasmonics
    • Computational Electromagnetics
    • Optimization Algorithms

    Background:

    • Designing nanoplasmonic waveguide devices requires complex simulations.
    • Existing optimization methods for these devices can be computationally intensive.
    • The space mapping algorithm offers a potential solution for efficient device design.

    Purpose of the Study:

    • To demonstrate the efficacy of the space mapping algorithm for nanoplasmonic waveguide device design.
    • To compare the computational efficiency of space mapping against direct optimization methods.
    • To achieve designs that meet specific performance criteria.

    Main Methods:

    • Utilizing a physics-based coarse model (transmission line theory) to approximate a fine model.

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  • Employing a full-wave finite-difference frequency-domain (FDFD) simulation as the accurate fine model.
  • Applying the iterative space mapping algorithm to optimize device parameters.

    • Main Results:

    • The space mapping algorithm rapidly converges to a nanoplasmonic waveguide design satisfying all specifications.
    • Optimizing the coarse model alone was insufficient for meeting design requirements.
    • The space mapping approach required significantly fewer FDFD simulations than direct optimization.

    Conclusions:

    • The space mapping algorithm is a highly efficient method for designing nanoplasmonic waveguide devices.
    • This approach substantially reduces the computational time and resources needed for device optimization.
    • Space mapping enables the practical realization of complex nanoplasmonic devices.