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Metallic and dielectric photonic crystal filter design using multiple multipole program and model-based parameter

Xudong Cui1, Christian Hafner, Kakhaber Tavzarashvili

  • 1Laboratory for Electromagnetic Fields and Microwave Electronics, Swiss Federal Institute of Technology Zurich, Switzerland. xdcui@ifh.ee.ethz.ch

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|May 12, 2007
PubMed
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Ultra-compact photonic crystal filters for telecommunication wavelengths were designed using advanced computational methods. The study optimized filter characteristics, considering material loss for practical applications.

Area of Science:

  • Photonics and optical engineering
  • Materials science for optical devices

Background:

  • Photonic crystal filters are crucial for telecommunication wavelength applications.
  • Designing ultra-compact filters requires precise modeling and optimization techniques.

Purpose of the Study:

  • To design ultra-compact photonic crystal filters operating at telecommunication wavelengths.
  • To investigate the impact of metallic components and material loss on filter performance.
  • To achieve optimal filter characteristics through advanced design methodologies.

Main Methods:

  • Utilized the Mie scattering (multiple multipole) program for electromagnetic field calculations.
  • Employed model-based parameter estimation for design optimization.
  • Incorporated measured material properties and accounted for material loss.

Related Experiment Videos

  • Applied stochastic and deterministic optimization algorithms.

    • Main Results:

    • Successfully designed ultra-compact photonic crystal filters.
    • Demonstrated the feasibility of filters with and without metallic parts.
    • Achieved optimized filter characteristics by considering material loss.

    Conclusions:

    • The combined use of the Mie scattering program and parameter estimation is effective for designing advanced photonic crystal filters.
    • Practical design considerations, including material loss, are essential for real-world applications.
    • Optimization techniques enable the development of high-performance, compact optical filters for telecommunications.