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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

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Related Experiment Video

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Wide-angle deep ultraviolet antireflective multilayers via discrete-to-continuous optimization.

Jae-Hyun Kim1, Dong In Kim2, Sun Sook Lee2

  • 1Department of Applied Physics, Kyung Hee University, Gyeonggi-do 17104, Yongin, Republic of Korea.

Nanophotonics (Berlin, Germany)
|December 5, 2024
PubMed
Summary

A new discrete-to-continuous optimization algorithm designs advanced photonic structures. This method achieved ultra-low reflectance for deep-ultraviolet antireflective coatings, demonstrating broad applicability in optics and photonics.

Keywords:
antireflective multilayercalcium fluoride lensdeep ultraviolet spectrumdiscrete binary optimizationfactorization machine

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Area of Science:

  • Photonics and optical engineering
  • Materials science
  • Computational physics

Background:

  • Designing complex photonic structures often requires advanced optimization techniques.
  • Non-convex objective functions with multiple local optima pose challenges for traditional algorithms.
  • Effective training datasets are crucial for guiding optimization processes in continuous parameter spaces.

Purpose of the Study:

  • To develop and validate a novel discrete-to-continuous optimization algorithm for designing photonic structures.
  • To apply the algorithm to create deep-ultraviolet (DUV) antireflective coatings with high performance.
  • To demonstrate the algorithm's utility for fabricating and simulating optical multilayers.

Main Methods:

  • A discrete-to-continuous optimization approach combining binary encoding with continuous refinement.
  • Encoding multilayer structures into binary vectors, where each bit represents a specific material layer thickness.
  • Utilizing factorization machines to formulate surrogate functions from binary-based training data for initial optimization.
  • Employing continuous optimization methods, such as the interior-point method, for refining the figure of merit.

Main Results:

  • Successful design and fabrication of Magnesium Fluoride (MgF2)/Lanthanum Fluoride (LaF3) multilayers for DUV applications.
  • An optimized MgF2/LaF3 multilayer (ten bits, ~100 nm total thickness) achieved an average reflectance of 0.2% at 193 nm.
  • Experimental results closely matched the optimized design, validating the algorithm's effectiveness.
  • Simulations predicted 99.7% transmittance for a lens coated with the optimized multilayer.

Conclusions:

  • The developed discrete-to-continuous optimization algorithm effectively designs high-performance photonic structures.
  • The method is particularly suitable for multilayer optical coatings and can be extended to other binary-representable photonic devices like microwave metasurfaces.
  • This approach offers a pathway to achieving unconventional optical performance in various nanophotonic applications.