True-time delay and mode-matching in Archimedean spiral silicon photonic waveguides
Abstract We report a comprehensive analysis and design optimization of true-time delay (TTD) photonic waveguides using compact Archimedean spiral geometries, with a focus on low-loss silicon nitride (Si 3 N 4 ) and silicon-on-insulator (SOI) platforms. Using a combination of finite element and finite-difference time-domain simulations at 1550 nm, we evaluated the propagation characteristics, mode-matching behavior, and bending losses of various waveguide designs. Our results demonstrate that Si 3 N 4 rectangular waveguides exhibit superior performance for long optical paths, achieving minimal radiation and scattering losses, whereas SOI is more suitable for compact integration. We further investigated curvature-engineered bends (Euler, Bézier, and circular) and identified Quartic Bézier bends as optimal for tight-radius, low-loss guiding. By minimizing crosstalk through tailored waveguide gaps and carefully engineered S-bend transitions, we present a scalable low-loss TTD architecture. These findings offer critical insights for integrating ultralow-loss, material-efficient delay lines into photonic circuits for applications in signal processing, LiDAR, phased array antennas, and neuromorphic computing.
Authors
- Alina Karabchevsky (ORCID: https://orcid.org/0000-0002-4338-349X)
- Ahmad Murad (ORCID: https://orcid.org/0000-0002-5211-9797)
Institutions
- Ben-Gurion University of the Negev (IL)
Publication Details
- Journal
- Engineering Research Express
- Published
- 2025-09-05
- DOI
- https://doi.org/10.1088/2631-8695/ae0413
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00