Chen, W., Li, Y., Liu, Y., Gao, Y., Yan, Y., Dong, Z., & Zhu, J. (2023). All‐Dielectric Sers Metasurface with Strong Coupling Quasi‐BIC Energized by Transformer‐Based Deep Learning. Advanced Optical Materials. Portico. https://doi.org/10.1002/adom.202301697
Abstract:
AbstractResearchers have paid great attention to pursuing metal‐free nanostructures as alternatives to metallic counterparts in the field of surface‐enhanced Raman scattering (SERS) for label‐free sensing. However, these metal‐free investigations are hindered by the tiny enhancement factor of the local near field. Here, the design of all‐dielectric SERS metasurfaces is proposed with quasi‐bound states in the continuum (Q‐BIC), inspired by transformer‐based deep learning. By manipulating the incident angle, the mechanism of strong coupling Q‐BIC is introduced with a large Rabi splitting of ≈105 meV, which opens a bandgap and forms an anti‐crossing behavior. Compared to conventional approaches, the strong coupling Q‐BIC scheme not only boosts an extraordinary SERS enhancement factor of ≈107 but also extends the field‐enhancing scale up to ten‐fold. The theoretical optimization implies overwhelming dominance versus the conventional metallic nanostructure design for SERS. The study denotes an approach to utilize the strong coupling effects of Q‐BIC in all‐dielectric SERS metasurfaces and will provide essential design guides for more powerful sensing applications based on SERS.
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Funding Info:
This research / project is supported by the A*STAR - AME Individual Research Grants (IRG)
Grant Reference no. : A20E5c0093
This research / project is supported by the A*STAR - Career Development Award
Grant Reference no. : C210112019
This research / project is supported by the A*STAR - MTC Individual Research Grants (IRG)
Grant Reference no. : M21K2c0116
This research / project is supported by the A*STAR - MTC Individual Research Grants (IRG)
Grant Reference no. : M22K2c0088
This research / project is supported by the National Research Foundation / A*STAR - Quantum Engineering Programme
Grant Reference no. : NRF2021-QEP2-03-P09
This work is supported by NSFC (62175205), NSAF (U1830116, U2130112), the Natural Science Foundation of Fujian Province
(2020J06009), the Shenzhen Science and Technology Innovation Committee under Grant JCYJ20220530143015035, and Youth Talent Support Program of Fujian Province (Eyas Plan of Fujian Province) [2022]
Description:
This is the peer reviewed version of the following article: Chen, W., Li, Y., Liu, Y., Gao, Y., Yan, Y., Dong, Z., & Zhu, J. (2023). All‐Dielectric Sers Metasurface with Strong Coupling Quasi‐BIC Energized by Transformer‐Based Deep Learning. Advanced Optical Materials. Portico. https://doi.org/10.1002/adom.202301697
, which has been published in final form at doi.org/10.1002/adom.202301697. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.