Title
Computing band structures of randomly-generated 2D photonic crystals with extreme learning machines
Date Issued
14 September 2020
Access level
metadata only access
Resource Type
conference paper
Author(s)
Universidad Estatal de Campinas
Publisher(s)
Optica Publishing Group (formerly OSA)
Abstract
We designed Extreme Learning Machines (ELM) for calculating band structures (BST) of randomly-generated bi-dimensional (2D) photonic crystals and demonstrated fast-training ELM models able to perform fast and accurate BST computations.
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Ingeniería de sistemas y comunicaciones
Scopus EID
2-s2.0-85105994761
Source
Optics InfoBase Conference Papers
ISSN of the container
21622701
ISBN of the container
9781943580804
Conference
2020 Frontiers in Optics Conference, FiO 2020
Sponsor(s)
This work was supported by the Fundac¸ão de Amparo à Pesquisa do Estado de São Paulo (FAPESP) (project no. 2015/24517-8).
Sources of information:
Directorio de Producción Científica
Scopus