ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023
Full-Control and Switching of Optical Fano Resonance by Continuum State Engineering.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The trial behind it
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Who cites it
4 citing papers in PubMed.
- Excitation and Tuning of Fano-like Resonances in Whispering Gallery Microcavity and Microfiber Modal Interferometer Coupled System.Sensors (Basel, Switzerland) · 2026Article
- Optically readable synaptic modulators based on Tamm plasmon for adaptive multispectral image processing.iScience · 2025Article
- Electrochromic nanopixels with optical duality for optical encryption applications.Nanophotonics (Berlin, Germany) · 2024Article
- Full-Control and Switching of Optical Fano Resonance by Continuum State Engineering.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Fano resonance, known for its unique asymmetric line shape, has gained significant attention in photonics, particularly in sensing applications. However, it remains difficult to achieve controllable Fano parameters with a simple geometric structure. Here, a novel approach of using a thin-film optical Fano resonator with a porous layer to generate entire spectral shapes from quasi-Lorentzian to Lorentzian to Fano is proposed and experimentally demonstrated. The glancing angle deposition technique is utilized to create a polarization-dependent Fano resonator. By altering the linear polarization between s- and p-polarization, a switchable Fano device between quasi-Lorentz state and negative Fano state is demonstrated. This change in spectral shape is advantageous for detecting materials with a low-refractive index. A bio-particle sensing experiment is conducted that demonstrates an enhanced signal-to-noise ratio and prediction accuracy. Finally, the challenge of optimizing the film-based Fano resonator due to intricate interplay among numerous parameters, including layer thicknesses, porosity, and materials selection, is addressed. The inverse design tool is developed based on a multilayer perceptron model that allows fast computation for all ranges of Fano parameters. The method provides improved accuracy of the mean validation factor (MVF = 0.07, q-q') compared to the conventional exhaustive enumeration method (MVF = 0.37).
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Registered trials
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