Tailor Bragg grating designs for specific laser applications via coupled-mode-theory fit and machine learning
M.R. Mahani, Y. Rahimof, I.A. Nechepurenko, and A. Wicht
Published in:
Conf. on Lasers and Electro-Optics (CLEO 2024), Charlotte, USA, May 5-10, ISBN 978-1-957171-39-5, p. JTh2A.210, doi:10.1364/CLEO_AT.2024.JTh2A.210 (2024).
Abstract:
Here we introduce efficient machine learning models trained on a 3D FDTD simulation-based database to predict Bragg grating characteristics from the main and the side lobes of reflectance spectra fitted by coupled mode theory.
Ferdinand-Braun-Institut (FBH), Gustav-Kirchhoff-Straße 4, 12489 Berlin, Germany
Copyright © 2024 The Author(s).
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