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Related Experiment Video

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Three-dimensional plasmonic lithography imaging modeling based on the RCWA algorithm for computational lithography.

Huwen Ding, Taian Fan, Libin Zhang

    Optics Express
    |November 29, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a faster, high-precision plasmonic lithography imaging model using the rigorous coupled-wave analysis (RCWA) algorithm. The enhanced model significantly speeds up computational lithography for plasmonic applications.

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    Area of Science:

    • Optics and Photonics
    • Computational Science
    • Materials Science

    Background:

    • Plasmonic lithography offers high resolution but requires advanced modeling.
    • Existing computational models for plasmonic lithography lack speed and precision.
    • Developing efficient imaging models is crucial for advancing computational lithography.

    Purpose of the Study:

    • To establish a fast and high-precision 3D plasmonic lithography imaging model.
    • To improve the rigorous coupled-wave analysis (RCWA) algorithm for computational lithography.
    • To enhance the computational speed and accuracy of plasmonic lithography simulations.

    Main Methods:

    • Developed a 3D plasmonic lithography model based on the RCWA algorithm.
    • Deduced formulas for calculating the internal light field within the structure.
    • Implemented integration, storage, and invocation of scattering matrices to optimize computation speed.

    Main Results:

    • The developed RCWA-based model achieved high accuracy, with RMSE < 0.04 (V/m)^2 compared to commercial software.
    • Initial calculation speed increased by over 2 times.
    • Integration, storage, and invocation of scattering matrices boosted computation speed by approximately 8 times.

    Conclusions:

    • The improved RCWA model provides a fast and accurate solution for plasmonic lithography.
    • The enhanced computational efficiency paves the way for practical plasmonic computational lithography.
    • This work facilitates the development of advanced lithography techniques for nanoscale fabrication.