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Updated: Jul 3, 2026

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Fabrication of High Contrast Gratings for the Spectrum Splitting Dispersive Element in a Concentrated Photovoltaic System
Published on: July 18, 2015
Simulation of subwavelength metallic gratings using a new implementation of the recursive convolution
Saswatee Banerjee1, Tetsuya Hoshino, James B Cole
1Sumitomo Chemicals Limited, Tsukuba, Japan. banerjee@tuc.sumitomo-chem.co.jp
Summary
This study presents a novel recursive convolution finite-difference time-domain (RC-FDTD) method for simulating Drude metals. The enhanced algorithm improves computational efficiency for modeling metallic grating diffraction characteristics.
Area of Science:
- Computational electromagnetics
- Materials science
- Optics and photonics
Background:
- Accurate simulation of electromagnetic phenomena in metals is crucial for optical device design.
- Existing methods for modeling Drude metals with finite-difference time-domain (FDTD) algorithms can be computationally intensive.
Purpose of the Study:
- To develop and implement an efficient recursive convolution (RC) FDTD algorithm for simulating first-order Drude metals.
- To reduce the computational cost associated with electromagnetic simulations of metallic structures.
Main Methods:
- Implemented RC for both transverse magnetic (TM) and transverse electric (TE) modes in FDTD.
- Developed a wave equation formulation of RC-FDTD for the TE mode to decrease computational load.
- Computed Drude parameters based on measured dielectric constants and discretization to ensure accuracy and stability.
Main Results:
- Successfully implemented RC-FDTD for TM and TE modes, including a novel wave equation formulation for TE.
- Demonstrated reduced computational cost for the TE mode simulations.
- Calculated diffraction characteristics of metallic gratings in the visible spectrum.
Conclusions:
- The developed RC-FDTD method provides an accurate and computationally efficient approach for simulating Drude metals.
- This method is suitable for analyzing optical properties of metallic nanostructures, such as gratings.
- The findings contribute to advancements in computational electromagnetics for optical applications.

