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Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle
Published on: January 3, 2016
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Mathematical and numerical framework for metasurfaces using thin layers of periodically distributed plasmonic
Habib Ammari1, Matias Ruiz2, Wei Wu1
1Department of Mathematics , ETH Zürich , Rämistrasse 101, 8092 Zürich, Switzerland.
Proceedings. Mathematical, Physical, and Engineering Sciences
|October 8, 2016
Summary
We developed an impedance boundary condition to reduce optical scattering from a conducting plate using plasmonic nanoparticles. At resonant frequencies, this method significantly minimizes plate scattering by manipulating nanoparticle geometry.
Area of Science:
- Nanophotonics
- Electromagnetics
- Surface Physics
Background:
- Plasmonic nanoparticles offer unique optical properties.
- Controlling electromagnetic scattering from surfaces is crucial in optics.
- Perfectly conducting plates exhibit significant scattering, posing challenges.
Purpose of the Study:
- To derive an impedance boundary condition for optical scattering from plasmonic nanoparticles on a conducting plate.
- To investigate methods for reducing the scattering effect of such a system.
- To analyze the influence of nanoparticle geometry on scattering properties.
Main Methods:
- Derivation of an impedance boundary condition.
- Analysis of optical scattering using electromagnetic theory.
- Application of spectral properties of a Neumann-Poincaré type operator.
- Investigating nanoparticle geometry and configuration effects.
Main Results:
- An impedance boundary condition was successfully derived.
- At resonant frequencies, the impedance condition leads to significant scattering reduction.
- The study reveals the dependency of impedance on nanoparticle geometry and arrangement.
Conclusions:
- The derived impedance boundary condition effectively approximates optical scattering.
- Plasmonic nanoparticle arrays on conducting plates can be engineered for scattering reduction.
- Neumann-Poincaré operator spectral properties provide insights into optimizing nanoparticle configurations.
