Evolutionary algorithms applied to multi-layered radiative cooling metamaterials

dc.contributor.authorLezaun Capdevila, Carlos
dc.contributor.authorJorajuria Gómez, Tania
dc.contributor.authorTorres García, Alicia E.
dc.contributor.authorHerrera, Pilar
dc.contributor.authorBeruete Díaz, Miguel
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.date.accessioned2023-05-29T14:54:49Z
dc.date.available2023-05-29T14:54:49Z
dc.date.issued2022
dc.date.updated2023-05-29T14:47:42Z
dc.description.abstractA newly design method for designing multi-layered radiative cooling metamaterials based on genetic algorithms (GAs) is exposed. The developed GA has been tested in three cases, resulting in three different structures that achieve, theoretically under direct sunlight, a net cooling power of 39.96 W/m 2 , 57.78 W/m 2 and 61.77 W/m 2 . Such devices are composed of 9, 15 and 24 layers respectively with a total thickness of less than 4.8 µm in the worst case. By the nature of the method, fewer design experience in metamaterials is needed, as well as it is free-cost, due to the use of analytical calculations for the emissivity of the meta materials instead of a commercial generic electromagnetic solver. Automated design of radiative cooling multi-layered structures and other applications in the infrared range can be further developed with this work.en
dc.description.sponsorshipThis work has been performed in the frame of the project "Algoritmos EVOlutivos aplicados a dispositivos de enfriamiento radiativo pasivo ultracompactos basados en METAsuperficies (AEVOMETA II), funded by the Government of Navarre.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationLezaun, C., Jorajuria, T., Torres, A. E., Herrera, P., & Beruete, M. (2022). Evolutionary algorithms applied to multi-layered radiative cooling metamaterials. 2022 Sixteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials), 265-267. https://doi.org/10.1109/Metamaterials54993.2022.9920754en
dc.identifier.doi10.1109/Metamaterials54993.2022.9920754es_ES
dc.identifier.isbn978-1-6654-6584-7
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/45355
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartof2022 Sixteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials). IEEE, 2022. p.265-267. ISBN 978-1-6654-6584-7en
dc.relation.projectIDinfo:eu-repo/grantAgreement/Gobierno de Navarra//AEVOMETA II/
dc.relation.publisherversionhttps://doi.org/10.1109/Metamaterials54993.2022.9920754
dc.rights© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worken
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectMulti-layered radiative cooling metamaterialsen
dc.subjectGenetic algorithmsen
dc.titleEvolutionary algorithms applied to multi-layered radiative cooling metamaterialsen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationca4aa184-deea-4491-89b0-13970303e648
relation.isAuthorOfPublication070b8d7b-2703-40e9-a638-928776c61bec
relation.isAuthorOfPublication80799664-73cc-48f8-a0de-e2f8131324ab
relation.isAuthorOfPublication6853cbd8-0a88-42ab-b165-c51b99cb6353
relation.isAuthorOfPublication.latestForDiscovery070b8d7b-2703-40e9-a638-928776c61bec

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