Prediction of Dispersion Relation and PBGs in 2-D PCs by Using Artificial Neural Networks

Malheiros-Silveira, Gilliard N.; Hernandez-Figueroa, Hugo E.

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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Prediction of Dispersion Relation and PBGs in 2-D PCs by Using Artificial Neural Networks

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Author(s):	Malheiros-Silveira, Gilliard N. ^[1] ; Hernandez-Figueroa, Hugo E. ^[1] Total Authors: 2
Affiliation:	^[1] Univ Estadual Campinas, Dept Microwaves & Opt, Sch Elect & Comp Engn, BR-13083970 Campinas, SP - Brazil Total Affiliations: 1
Document type:	Journal article
Source:	IEEE PHOTONICS TECHNOLOGY LETTERS; v. 24, n. 20, p. 1799-1801, OCT 15 2012.
Web of Science Citations:	7
Abstract
The prediction of dispersion relation and photonic band gaps in 2-D photonic crystals using artificial neural networks is demonstrated in this letter. Two case studies are carried out in order to evaluate the advantages of using this approach in conjunction with numerical methods. The results obtained present values that are very close to those obtained by a numerical solver and with short time-processing. We also compare artificial neural networks' outputs and well-known interpolation techniques. (AU)

FAPESP's process:	10/18857-7 - Nanoantennas for Coupling and Communication between Photonic Devices
Grantee:	Gilliard Nardel Malheiros Silveira
Support Opportunities:	Scholarships in Brazil - Doctorate

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