| Full text | |
| Author(s): |
Silva Ferreira, Adriano Da
[1]
;
Malheiros-Silveira, Gilliard Nardel
[1, 2, 3]
;
Hernandez-Figueroa, Hugo Enrique
[1]
Total Authors: 3
|
| Affiliation: | [1] Univ Estadual Campinas, Sch Elect & Comp Engn, BR-13083852 Campinas, SP - Brazil
[2] Sao Paulo State Univ UNESP, Campus Sao Joao Boa Vista, BR-13876750 Sao Paulo, SP - Brazil
[3] Ctr Tecnol Informac Renato Archer, BR-13092599 Campinas, SP - Brazil
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | Journal of Lightwave Technology; v. 36, n. 18, p. 4066-4073, SEP 15 2018. |
| Web of Science Citations: | 8 |
| Abstract | |
In this paper, dispersion relations (DRs) of photonic crystals (PhCs) are computed by multilayer perceptron (MLP) and extreme learning machine (ELM) artificial neural networks (ANNs). Bi- and tri-dimensional optimized structures presenting distinct DRs and photonic band gaps (PBGs) were selected for case studies. Optical properties of a set of PhCs with similar geometries and different dimensions were calculated by an electromagnetic solver in order to provide input data for ANN training and testing. We demonstrate that simple-and fast-training ANN models are capable of providing accurate DRs' curves in a very short time. (AU) | |
| FAPESP's process: | 15/24517-8 - Photonics for next generation internet |
| Grantee: | Hugo Enrique Hernández Figueroa |
| Support Opportunities: | Research Projects - Thematic Grants |