Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 39,
  • Issue 9,
  • pp. 2917-2923
  • (2021)

Design and Characterization of Q-Enhanced Silicon Nitride Racetrack Micro-Resonators

Not Accessible

Your library or personal account may give you access

Abstract

Q-enhanced racetrack micro-resonators for the silicon nitride photonics integration platform have been designed, fabricated, and characterized. The proposed geometries permit to mitigate the impact of radiation loss at curved waveguides, one of the major limitations of silicon nitride circuits, therefore providing an increase of the intrinsic Q factor of micro-resonators when compared with the conventional structures with the same bent radii. The schemes put forward in this work permit a reduction of the size of the devices that has a direct impact on the integration scale in this platform. When used in the curved sections of waveguides routing optical signals within an integrated photonic circuit, the lowering of the radiation loss also permits the use of smaller bent radii likewise contributing to the circuit integration density.

PDF Article
More Like This
Ultrahigh-Q silicon racetrack resonators

Long Zhang, Lanlan Jie, Ming Zhang, Yi Wang, Yiwei Xie, Yaocheng Shi, and Daoxin Dai
Photon. Res. 8(5) 684-689 (2020)

Laser trimming of the operating wavelength of silicon nitride racetrack resonators

Greta De Paoli, Senta L. Jantzen, Thalia Dominguez Bucio, Ilias Skandalos, Christopher Holmes, Peter G. R. Smith, Milan M. Milosevic, and Frederic Y. Gardes
Photon. Res. 8(5) 677-683 (2020)

High-Q silicon-on-insulator optical rib waveguide racetrack resonators

Isa Kiyat, Atilla Aydinli, and Nadir Dagli
Opt. Express 13(6) 1900-1905 (2005)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.