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Toroidal electromagnetically induced transparency based meta-surfaces and its applications.

Angana Bhattacharya1, Rakesh Sarkar1, Gagan Kumar1

  • 1Department of Physics, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India.

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|January 21, 2022
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Summary
This summary is machine-generated.

Toroidal resonances in metamaterials enable electromagnetically induced transparency (EIT) with high quality factors. This breakthrough offers potential for advanced applications like biomolecular sensing and slow light systems.

Keywords:
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Area of Science:

  • Photonics and Metamaterials
  • Electromagnetism
  • Quantum Optics

Background:

  • Toroidal resonances, a novel electromagnetic excitation, exhibit high-quality factors and narrow linewidths.
  • These resonances are crucial for developing advanced metamaterial (MM) devices.
  • Coupling toroidal dipolar resonance with traditional resonances leads to metamaterial analogues of electromagnetically induced transparency (EIT).

Purpose of the Study:

  • To review the history, properties, and identification of toroidal resonances in metamaterials.
  • To discuss theoretical and experimental demonstrations of toroidal-dipole-based EIT.
  • To explore the potential applications of toroidal-based EIT.

Main Methods:

  • Review of existing literature on toroidal resonances and EIT in metamaterials.
  • Analysis of theoretical models and experimental results.
  • Discussion of coupling mechanisms between toroidal and electric/magnetic resonances.

Main Results:

  • Toroidal resonances provide a pathway to achieve EIT in metamaterials.
  • Toroidal-induced EIT exhibits steep linear dispersion and elevated group refractive index.
  • Single and multiband EIT effects have been demonstrated in toroidal-dipole-based metamaterials.

Conclusions:

  • Toroidal resonances are significant for low-loss photonic devices and metamaterial applications.
  • Toroidal-based EIT offers unique optical properties for advanced functionalities.
  • Potential applications include biomolecular sensing, slow light, switches, and refractive index sensing.