Abstract
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) |
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Pages (from-to) | 96-103 |
Number of pages | 8 |
Journal | Photonics Research |
Volume | 9 |
Issue number | 4 |
DOIs | |
State | Published - Mar 22 2021 |
Bibliographical note
KAUST Repository Item: Exported on 2021-04-14Acknowledged 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