| Full text | |
| Author(s): |
das Merces, Viviane Oliveira
;
Sisnando, Anderson Dourado
;
Rodriguez-Esquerre, V. F.
;
Zelinski, ME
;
Taha, TM
;
Howe, J
Total Authors: 6
|
| Document type: | Journal article |
| Source: | APPLICATIONS OF MACHINE LEARNING 2021; v. 11843, p. 5-pg., 2021-01-01. |
| 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. (AU) | |
| FAPESP's process: | 15/24517-8 - Photonics for next generation internet |
| Grantee: | Hugo Enrique Hernández Figueroa |
| Support Opportunities: | Research Projects - Thematic Grants |