Computing band structures of randomly-generated 2D photonic crystals with extreme learning machines
| dc.contributor.author | da Silva Ferreira, Adriano | |
| dc.contributor.author | Malheiros-Silveira, Gilliard Nardel [UNESP] | |
| dc.contributor.author | Hernández-Figueroa, Hugo Enrique | |
| dc.contributor.institution | Universidade Estadual de Campinas (UNICAMP) | |
| dc.contributor.institution | Hortolândia | |
| dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
| dc.date.accessioned | 2021-06-25T10:30:38Z | |
| dc.date.available | 2021-06-25T10:30:38Z | |
| dc.date.issued | 2020-09-14 | |
| dc.description.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. | en |
| dc.description.affiliation | School of Electrical and Computer Engineering (FEEC) University of Campinas (UNICAMP) | |
| dc.description.affiliation | São Paulo Federal Institute of Education Science and Technology (IFSP) Hortolândia | |
| dc.description.affiliation | São Paulo State University (UNESP) | |
| dc.description.affiliationUnesp | São Paulo State University (UNESP) | |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
| dc.description.sponsorshipId | FAPESP: 2015/24517-8 | |
| dc.identifier | http://dx.doi.org/10.1364/FIO.2020.JTu7D.3 | |
| dc.identifier.citation | Optics InfoBase Conference Papers. | |
| dc.identifier.dimensions | pub.1134565457 | |
| dc.identifier.doi | 10.1364/FIO.2020.JTu7D.3 | |
| dc.identifier.isbn | 978-1-943580-80-4 | |
| dc.identifier.orcid | 0000-0002-5176-3812 | |
| dc.identifier.scopus | 2-s2.0-85105994761 | |
| dc.identifier.uri | http://hdl.handle.net/11449/206354 | |
| dc.language.iso | eng | |
| dc.publisher | Optica Publishing Group | |
| dc.relation.ispartof | Optics InfoBase Conference Papers | |
| dc.rights.accessRights | Acesso restrito | pt |
| dc.rights.sourceRights | closed | |
| dc.source | Scopus | |
| dc.source | Dimensions | |
| dc.title | Computing band structures of randomly-generated 2D photonic crystals with extreme learning machines | en |
| dc.type | Trabalho apresentado em evento | pt |
| dspace.entity.type | Publication |