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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
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.
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.
Keywords:
antireflective multilayercalcium fluoride lensdeep ultraviolet spectrumdiscrete binary optimizationfactorization machine
