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Related Concept Videos

Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

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Related Experiment Video

Updated: Jun 22, 2026

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons
07:39

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Published on: July 21, 2018

Dispersive contour-path finite-difference time-domain algorithm for modeling surface plasmon polaritons at flat

Ahmad Mohammadi, Mario Agio

    Optics Express
    |June 17, 2009
    PubMed
    Summary
    This summary is machine-generated.

    The Finite-Difference Time-Domain (FDTD) method struggles with modelling Surface Plasmon Polaritons (SPPs) at low velocities. A contour-path approach with Z transform significantly reduces errors in SPP simulations.

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    Published on: November 21, 2019

    Area of Science:

    • Computational Electromagnetics
    • Plasmonics
    • Materials Science

    Background:

    • Surface Plasmon Polaritons (SPPs) are crucial for nanoscale optics.
    • Accurate numerical modeling of SPPs is essential for device design.
    • The Finite-Difference Time-Domain (FDTD) method is widely used but has limitations.

    Purpose of the Study:

    • To evaluate the accuracy of the 2D FDTD method for modeling SPPs.
    • To identify limitations of FDTD in specific SPP regimes.
    • To develop an improved method for accurate SPP simulation.

    Main Methods:

    • Investigated FDTD accuracy for single metal-dielectric interfaces and thin metal films.
    • Employed a contour-path approach combined with Z transform.
    • Addressed electromagnetic boundary conditions and the metal's negative dielectric function.

    Main Results:

    • FDTD exhibits difficulties in accurately modeling SPPs in the low-group-velocity region.
    • The contour-path with Z transform approach significantly reduced relative error.
    • Improved accuracy was demonstrated for SPP simulations.

    Conclusions:

    • The proposed contour-path Z transform method enhances FDTD accuracy for SPPs.
    • This improved method is vital for precise simulation of plasmonic phenomena.
    • Overcoming FDTD limitations enables better design of plasmonic devices.