We demonstrate a neural network capable of designing on-demand multiple symmetry-protected bound states in the continuum (BICs) in freeform structures with predefined symmetry. The latent representation of the freeform structures allows the tuning of the geometry in a differentiable, continuous way. We show the rich band inversion and accidental degeneracy in these freeform structures by interacting with the latent representation directly. Moreover, a high design accuracy is demonstrated for arbitrary control of multiple BIC frequencies by using a photonic property readout network to interpret the latent representation.
|Original language||English (US)|
|Number of pages||8|
|State||Published - Mar 22 2021|
Bibliographical noteKAUST Repository Item: Exported on 2021-04-14
Acknowledged KAUST grant number(s): BAS/1/1664-01-01, URF/1/3437-01-01, URF/1/3771-01-01
Acknowledgements: King Abdullah University of Science and Technology Baseline Fund (BAS/1/1664-01-01); Competitive Research Grants (URF/1/3437-01-01, URF/1/3771-01-01).
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics