Presentation + Paper
5 March 2021 Design of fully apodized and perfectly vertical surface grating couplers using machine learning optimization
Mohsen Kamandar Dezfouli, Yuri Grinberg, Daniele Melati, Jens H. Schmid, Pavel Cheben, Siegfried Janz, Dan-Xia Xu
Author Affiliations +
Abstract
We present fully apodized and perfectly vertical surface grating couplers in 300 nm silicon waveguides. We achieve ultrahigh coupling efficiency of -0.35 dB at 1550 nm for an optical fiber with 10.4 µm mode-fiber-diameter. To this end, we followed a two stage process in which, we first optimized a pool of periodic grating couplers using machine learning techniques, and then apodized them over 100 parameters using the gradient based adjoint- method. Using a simple fabrication tolerance analysis, we also show that segment variations mostly causes a wavelength shift for the maximum coupling efficiency of the apodized grating couplers, similar to those typically observed for periodic grating couplers.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohsen Kamandar Dezfouli, Yuri Grinberg, Daniele Melati, Jens H. Schmid, Pavel Cheben, Siegfried Janz, and Dan-Xia Xu "Design of fully apodized and perfectly vertical surface grating couplers using machine learning optimization", Proc. SPIE 11689, Integrated Optics: Devices, Materials, and Technologies XXV, 116890J (5 March 2021); https://doi.org/10.1117/12.2576945
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Cited by 1 scholarly publication.
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KEYWORDS
Optical design

Machine learning

Diffraction gratings

Waveguides

Integrated optics

Optical fibers

Silicon

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