Optimal design of nanoplasmonic materials using genetic algorithms as a multiparameter optimization tool.

Area of Science:

• Plasmonics and Nanophotonics
• Computational Electromagnetics
• Materials Science

Background:

• Plasmonic nanoconstructs offer unique optical properties due to their interaction with light.
• Designing nanoconstructs with precise optical functionalities is challenging.
• Understanding light manipulation at the nanoscale is crucial for advanced applications.

Purpose of the Study:

• To design plasmonic nanoconstructs with predetermined optical properties and functionalities using an optimal control approach.
• To develop nanoscale metallic lenses for focusing incident plane waves.
• To engineer periodic arrays of silver particles for polarization control and light localization.

Main Methods:

• Application of an optimal control approach based on multiple parameter genetic algorithms.
• Development of nanoscale metallic lenses.
• Design of periodic arrays of silver particles.

Main Results:

• Demonstrated nanoscale metallic lenses focusing incident plane waves onto a prespecified spot.
• Illustrated the mechanism of energy flow through plasmonic wires and cavities.
• Designed silver particle arrays to modify light polarization and localize light.
• Provided insights into structural features governing birefringence in metal nanoparticles and arrays.

Conclusions:

• Genetic algorithms are effective for designing plasmonic nanoconstructs with tailored optical properties.
• The designed nanoconstructs can precisely control light focusing and polarization.
• These nanoconstructs can serve as nanoscale light sources with controllable coherence and polarization for advanced nanoscale applications.