Machine learning modeling of periodical subwavelength tapers coupling efficiency

Viviane Oliveira das Merces; Anderson Dourado Sisnando; Vitaly F. Rodriguez-Esquerre

doi:10.1117/12.2595190

1 August 2021 Machine learning modeling of periodical subwavelength tapers coupling efficiency

Viviane Oliveira das Merces, Anderson Dourado Sisnando, Vitaly F. Rodriguez-Esquerre

Proceedings Volume 11843, Applications of Machine Learning 2021; 1184318 (2021) https://doi.org/10.1117/12.2595190
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Conference Poster

Abstract

The present work deals with the implementation of machine learning algorithms for the analysis of the coupling efficiency of tapers for silicon photonics applications operating in the C band. The analyzed tapers are used for coupling a continuous waveguide with a periodical subwavelength waveguide and they are composed by several segments with variable lengths. The training, testing, and validating data sets have been numerically obtained by an efficient frequency domain finite element method which solves the wave equation and determines the spatial distribution of the electromagnetic fields and the coupling efficiency for each taper configuration. An excellent agreement has been observed for the coupling efficiency calculation using the machine learning algorithms when compared with the one obtained by using the finite element method.

Conference Presentation

Citation Download Citation

Viviane Oliveira das Merces, Anderson Dourado Sisnando, and Vitaly F. Rodriguez-Esquerre "Machine learning modeling of periodical subwavelength tapers coupling efficiency", Proc. SPIE 11843, Applications of Machine Learning 2021, 1184318 (1 August 2021); https://doi.org/10.1117/12.2595190

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available