Which Computational Methods Are Good for Analyzing Large Photonic Crystal Membrane Cavities?

Radu Malureanu, Jakob Rosenkrantz de Lasson, Lars Hagedorn Frandsen, Philipp Gutsche, Sven Burger, Oleksiy S. Kim, Olav Breinbjerg, Aliaksandra Ivinskaya, Fengwen Wang, Ole Sigmund, Teppo Häyrynen, Andrei Lavrinenko, Jesper Mørk, Niels Gregersen

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Abstract

By introducing defects into an otherwise periodic photonic crystal lattice, high quality (Q) factor cavities may be formed. However, the size and the lack of simplifying symmetries in the photonic crystal membrane make these types of cavities exceptionally hard to analyze using numerical simulation methods. In this work, we consider
two different line defect cavities and we compute their Q factors using state-of-the-art optical simulation tools. We show that certain simulation methods perform much better than others in the analysis of these challenging structures.
Original languageEnglish
Title of host publicationProceedings of the 20th Anniversary International Conference on Transparent Optical Networks
Number of pages4
PublisherIEEE
Publication date2018
DOIs
Publication statusPublished - 2018
Event20th Anniversary International Conference on Transparent Optical Networks - University Politehnica Bucharest, Bucharest, Romania
Duration: 1 Jul 20185 Jul 2018
http://icton2018.upb.ro/

Conference

Conference20th Anniversary International Conference on Transparent Optical Networks
LocationUniversity Politehnica Bucharest
CountryRomania
CityBucharest
Period01/07/201805/07/2018
Internet address

Keywords

  • Photonic crystal
  • Microcavity
  • Line defect cavity
  • Quality factor
  • Numerical simulations

Cite this

Malureanu, R., de Lasson, J. R., Frandsen, L. H., Gutsche, P., Burger, S., Kim, O. S., Breinbjerg, O., Ivinskaya, A., Wang, F., Sigmund, O., Häyrynen, T., Lavrinenko, A., Mørk, J., & Gregersen, N. (2018). Which Computational Methods Are Good for Analyzing Large Photonic Crystal Membrane Cavities? In Proceedings of the 20th Anniversary International Conference on Transparent Optical Networks IEEE. https://doi.org/10.1109/ICTON.2018.8473951