journal article·2023-11Open access

Full‐Control and Switching of Optical Fano Resonance by Continuum State Engineering

Joo Hwan Ko, Jin‐Hwi Park, Young Jin Yoo, Sehui Chang, Jiwon Kang, Aiguo Wu, Fang Yang, Sejeong Kim, Hae‐Gon Jeon, Young Min Song

Advanced Science· Volume 10· Issue 32

Abstract

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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Research context

OpenAlex topics: Photonic and Optical Devices · Advanced Fiber Optic Sensors · Plasmonic and Surface Plasmon Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology Gwangju 61005 Republic of Korea

Artificial Intelligence Graduate School Gwangju Institute of Science and Technology Gwangju 61005 Republic of Korea

Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

Cixi Institute of Biomedical Engineering International Cooperation Base of Biomedical Materials Technology and Application Chinese Academy of Sciences (CAS) Key Laboratory of Magnetic Materials and Devices Zhejiang Engineering Research Center for Biomedical Materials Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo Zhejiang 315201 China

Advanced Energy Science and Technology Guangdong Laboratory Huizhou 516000 China

Department of Electrical and Electronic Engineering University of Melbourne Parkville 3010 Australia

Funding

National Research Foundation of Korea

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