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Plasmonics

, Volume 14, Issue 1, pp 253–261 | Cite as

Optimization of Large-Scale Vogel Spiral Arrays of Plasmonic Nanoparticles

  • Mani Razi
  • Ren Wang
  • Yanyan He
  • Robert M. Kirby
  • Luca Dal NegroEmail author
Article
  • 97 Downloads

Abstract

In this paper, we combine coupled dipole approximation (CDA) theory with optimization codes based on cyclic coordinate descent minimization to obtain the best configurations of plasmonic nanoparticles that produce maximal scattering or absorption efficiencies in large-scale Vogel spiral arrays. The optimization is performed from the ultraviolet to the visible spectral range for different and commonly used plasmonic materials, namely gold, silver, and aluminum. General engineering trends for optimized Vogel structures with varying numbers of particles are obtained for each material. The optimization strategy demonstrated in this work enables rapid prototyping of large-scale photonic-plasmonic coupled devices composed of a large number of small resonant nanoparticles, and can be utilized for the optimal design of plasmon-enhanced optical sensors, photodetectors, solar cells, and enhanced-efficiency light sources, and nonlinear optical components.

Keywords

Plasmonics Optimization Multiple scattering Metamaterials 

Notes

Acknowledgements

This research was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF-12-2-0023. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.

Funding Information

This research was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF-12-2-0023.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Mani Razi
    • 1
  • Ren Wang
    • 2
  • Yanyan He
    • 3
  • Robert M. Kirby
    • 1
  • Luca Dal Negro
    • 2
    • 4
    • 5
    Email author
  1. 1.Scientific Computing, Imaging InstituteThe University of UtahSalt Lake CityUSA
  2. 2.Department of Electrical and Computer EngineeringBoston UniversityBostonUSA
  3. 3.Department of MathematicsNew Mexico Institute of Mining and TechnologySocorroUSA
  4. 4.Division of Material Science and EngineeringBoston UniversityBostonUSA
  5. 5.Department of PhysicsBoston UniversityBostonUSA

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