Self-Similarity of Plasmon Edge Modes on Koch Fractal Antennas
Source abstract
Abstract
We investigate the plasmonic behavior of Koch snowflake fractal geometries and their possible application as broadband optical antennas. Lithographically defined planar silver Koch fractal antennas were fabricated and characterized with high spatial and spectral resolution using electron energy loss spectroscopy. The experimental data are supported by numerical calculations carried out with a surface integral equation method. Multiple surface plasmon edge modes supported by the fractal structures have been imaged and analyzed. Furthermore, by isolating and reproducing self-similar features in long silver strip antennas, the edge modes present in the Koch snowflake fractals are identified. We demonstrate that the fractal response can be obtained by the sum of basic self-similar segments called characteristic edge units. Interestingly, the plasmon edge modes follow a fractal-scaling rule that depends on these self-similar segments formed in the structure after a fractal iteration. As the size of a fractal structure is reduced, coupling of the modes in the characteristic edge units becomes relevant, and the symmetry of the fractal affects the formation of hybrid modes. This analysis can be utilized not only to understand the edge modes in other planar structures but also in the design and fabrication of fractal structures for nanophotonic applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Plasmonic and Surface Plasmon Research · Gold and Silver Nanoparticles Synthesis and Applications · Metamaterials and Metasurfaces Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Materials Science and Engineering, McMaster University, 1280 Main Street W., Hamilton, Ontario L8S 4L7, Canada
Nanophotonics and Metrology Laboratory, École Polytechnique Fédéralede Lausanne, 1015 Lausanne, Switzerland
Funding
Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung · Natural Sciences and Engineering Research Council of Canada · H2020 European Research Council
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