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Optimization of Magnetoplasmonic ε-Near-Zero Nanostructures Using a Genetic Algorithm.

Felipe A P de Figueiredo1, Edwin Moncada-Villa2, Jorge Ricardo Mejía-Salazar1

  • 1Instituto Nacional de Telecomunicações (Inatel), Santa Rita do Sapucaí 37540-000, Brazil.

Sensors (Basel, Switzerland)
|August 12, 2022
PubMed
Summary

A genetic algorithm rapidly designs magnetoplasmonic permittivity-near-zero nanostructures for enhanced biosensing. This approach overcomes slow numerical analyses, enabling highly sensitive and miniaturized devices.

Keywords:
TMOKEgenetic algorithm optimizationmagneto-opticsmagnetoplasmonicssensing

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Area of Science:

  • Nanophotonics and Plasmonics
  • Biomedical Engineering
  • Materials Science

Background:

  • Magnetoplasmonic nanostructures offer high-resolution sensing and miniaturization potential for biosensors.
  • Perimittivity-near-zero (ε-near-zero) effects enable efficient light-to-plasmon coupling, simplifying device integration.
  • Current limitations include time-consuming numerical simulations due to the lack of analytical phase-matching conditions.

Purpose of the Study:

  • To develop a rapid design mechanism for magnetoplasmonic ε-near-zero nanostructures.
  • To optimize transverse magneto-optical Kerr effect (TMOKE) signals and magnetoplasmonic sensing performance.
  • To overcome the computational bottleneck in designing these advanced sensing platforms.

Main Methods:

  • Implementation of a genetic algorithm (GA) for automated nanostructure design.
  • Optimization of magnetoplasmonic nanostructures for enhanced TMOKE and sensing capabilities.
  • Utilizing a standard dual-core CPU for rapid computational analysis.

Main Results:

  • The GA successfully designed magnetoplasmonic ε-near-zero sensing platforms in minutes.
  • Achieved a sensitivity exceeding 56°/RIU and a figure of merit around 10², surpassing previous methods.
  • Demonstrated the GA's efficiency, completing designs in 2-5 minutes.

Conclusions:

  • The developed GA provides a fast and efficient method for designing high-performance magnetoplasmonic ε-near-zero sensors.
  • This approach significantly accelerates the development cycle for integrated (bio)sensing devices.
  • The optimized platforms show promise for advanced, miniaturized biosensing applications.