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Updated: May 28, 2026

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light
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Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light

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Analysis of microstructured optical fibers using compact macromodels.

P Kowalczyk1, L Kulas, M Mrozowski

  • 1Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80233 Gdansk. piotr.kowalczyk@eti.pg.gda.pl

Optics Express
|October 15, 2011
PubMed
Summary
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A novel numerical analysis technique for microstructured optical fibers significantly reduces simulation size and time. This method accelerates simulations up to 16 times without compromising accuracy.

Area of Science:

  • Optics and Photonics
  • Computational Science

Background:

  • Microstructured optical fibers (MOFs) require complex numerical analysis.
  • Existing simulation methods can be computationally intensive and time-consuming.

Purpose of the Study:

  • To introduce a new, efficient numerical analysis technique for MOFs.
  • To significantly reduce computational load and simulation time for MOF analysis.

Main Methods:

  • A combination of the model order reduction method and discrete function expansion technique was employed.
  • The proposed technique focuses on reducing the problem size for numerical simulations.

Main Results:

  • Achieved a substantial reduction in problem size by approximately 85%.

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Last Updated: May 28, 2026

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light
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Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light

Published on: July 29, 2013

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape
07:38

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape

Published on: January 8, 2014

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  • Enabled simulation speeds up to 16 times faster compared to conventional methods.
  • Maintained the accuracy of the numerical analysis.

    • Conclusions:

    • The new technique offers a highly efficient approach for the numerical analysis of MOFs.
    • This advancement allows for faster and more accessible simulations in MOF research and design.