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Related Experiment Videos

Enhanced second-harmonic generation from planar photonic crystals.

J P Mondia1, H M van Driel, W Jiang

  • 1Department of Physics, University of Toronto, Toronto, Canada, M5S 1A7. mondia@physics.utoronto.ca

Optics Letters
|December 24, 2003
PubMed
Summary
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Researchers achieved over 1200x enhancement in second-harmonic generation using resonant coupling in GaAs/AlGaAs photonic crystals. This significant improvement in nonlinear optical processes opens new avenues for photonic device applications.

Area of Science:

  • Nonlinear Optics
  • Materials Science
  • Photonics

Background:

  • Photonic crystals offer unique light manipulation properties.
  • Second-harmonic generation (SHG) is a key nonlinear optical process.
  • Efficient SHG is crucial for integrated photonic devices.

Purpose of the Study:

  • To investigate strongly enhanced second-harmonic generation (SHG) in a GaAs/AlGaAs photonic crystal waveguide.
  • To explore the effect of resonant coupling to leaky eigenmodes on SHG efficiency.
  • To compare resonant and off-resonant SHG conditions.

Main Methods:

  • Fabrication of a two-dimensional square lattice GaAs/AlGaAs photonic crystal waveguide.
  • Experimental measurement of SHG spectra using s-polarized, 150-fs pump pulses.

Related Experiment Videos

  • Tuning pump pulses from 5000 to 5600 cm(-1) along the gamma-chi direction.
  • Varying angles of incidence to achieve resonant coupling.
  • Main Results:

    • Observed strongly enhanced SHG when fundamental or second-harmonic beams couple to leaky eigenmodes.
    • Achieved SHG conversion enhancements of >1200x under resonant coupling of both beams.
    • Obtained p-polarized SHG spectra for s-polarized pump pulses.
    • Experimental results showed good agreement with simulations.

    Conclusions:

    • Resonant coupling to leaky eigenmodes significantly boosts SHG in GaAs/AlGaAs photonic crystals.
    • This enhancement is critical for developing efficient nonlinear photonic devices.
    • The findings validate the theoretical understanding and predictive power of simulations.