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      Passive bias-free non-reciprocal metasurfaces based on thermally nonlinear quasi-bound states in the continuum

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          Asymmetric Metasurfaces with High- \(Q\) Resonances Governed by Bound States in the Continuum

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            Lasing action from photonic bound states in continuum

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              Subwavelength dielectric resonators for nonlinear nanophotonics

              Subwavelength optical resonators made of high-index dielectric materials provide efficient ways to manipulate light at the nanoscale through mode interferences and enhancement of both electric and magnetic fields. Such Mie-resonant dielectric structures have low absorption, and their functionalities are limited predominantly by radiative losses. We implement a new physical mechanism for suppressing radiative losses of individual nanoscale resonators to engineer special modes with high quality factors: optical bound states in the continuum (BICs). We demonstrate that an individual subwavelength dielectric resonator hosting a BIC mode can boost nonlinear effects increasing second-harmonic generation efficiency. Our work suggests a route to use subwavelength high-index dielectric resonators for a strong enhancement of light–matter interactions with applications to nonlinear optics, nanoscale lasers, quantum photonics, and sensors.
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                Author and article information

                Contributors
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                Journal
                Nature Photonics
                Nat. Photon.
                Springer Science and Business Media LLC
                1749-4885
                1749-4893
                January 2024
                November 30 2023
                January 2024
                : 18
                : 1
                : 81-90
                Article
                10.1038/s41566-023-01333-7
                c41808cf-8fde-4401-bfb0-25b983272d63
                © 2024

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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