Open Access System for Information Sharing

Login Library

 

Article
Cited 26 time in webofscience Cited 31 time in scopus
Metadata Downloads
Full metadata record
Files in This Item:
There are no files associated with this item.
DC FieldValueLanguage
dc.contributor.authorSAJEDIAN, IMAN-
dc.contributor.authorLEE, HEON-
dc.contributor.authorRHO, JUNSUK-
dc.date.accessioned2020-03-26T01:51:31Z-
dc.date.available2020-03-26T01:51:31Z-
dc.date.created2019-12-22-
dc.date.issued2020-01-
dc.identifier.issn0038-092X-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/101858-
dc.description.abstractIn this paper, we have used deep Q-learning networks (DQN) to find a colored coating for solar cells with high transmission. A basic structure with a huge range of possibilities was given to DQN, and it was designed to find the best structures fitting our purpose. The number of possibilities given to the model was more than 12 billion. Our model could find the structures with higher transmission and deeper colors compared to other human researchers in around 32,000 steps. Our numerical results cover a large area of color gamut which can be used for aesthetic purposes.-
dc.languageEnglish-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.relation.isPartOfSOLAR ENERGY-
dc.titleDesign of high transmission color filters for solar cells directed by deep Q-learning-
dc.typeArticle-
dc.identifier.doi10.1016/j.solener.2019.12.013-
dc.type.rimsART-
dc.identifier.bibliographicCitationSOLAR ENERGY, v.195, no.1, pp.670 - 676-
dc.identifier.wosid000509632000064-
dc.citation.endPage676-
dc.citation.number1-
dc.citation.startPage670-
dc.citation.titleSOLAR ENERGY-
dc.citation.volume195-
dc.contributor.affiliatedAuthorSAJEDIAN, IMAN-
dc.contributor.affiliatedAuthorRHO, JUNSUK-
dc.identifier.scopusid2-s2.0-85076187639-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.type.docTypeArticle-
dc.subject.keywordPlusNEURAL-NETWORKS-
dc.subject.keywordPlusNANOSTRUCTURES-
dc.subject.keywordAuthorDeep Q-learning-
dc.subject.keywordAuthorColored solar cells-
dc.subject.keywordAuthorNeural networks-
dc.subject.keywordAuthorBuilding integrated photovoltaics-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEnergy & Fuels-

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher

노준석RHO, JUNSUK
Dept of Mechanical Enginrg
Read more

Views & Downloads

Browse