Engineering of multiple bound states in the continuum by latent representation of freeform structures

Embargo End Date
2022-03-22

Type
Article

Authors
Lin, Ronghui
Alnakhli, Zahrah
Li, Xiaohang

KAUST Department
Advanced Semiconductor Laboratory
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering
Electrical and Computer Engineering Program

KAUST Grant Number
BAS/1/1664-01-01
URF/1/3437-01-01
URF/1/3771-01-01

Online Publication Date
2021-03-22

Print Publication Date
2021-04-01

Date
2021-03-22

Submitted Date
2020-11-26

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.

Citation
Lin, R., Alnakhli, Z., & Li, X. (2021). Engineering of multiple bound states in the continuum by latent representation of freeform structures. Photonics Research, 9(4), B96. doi:10.1364/prj.415655

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).
The authors would like to thank Prof. Andrea Fratalocchi from KAUST for his advice.

Publisher
The Optical Society

Journal
Photonics Research

DOI
10.1364/PRJ.415655

Additional Links
https://www.osapublishing.org/abstract.cfm?URI=prj-9-4-B96

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