Artificial intelligence-enhanced metamaterial bragg multilayers for radiative cooling
| dc.contributor.author | Osuna Ruiz, David | |
| dc.contributor.author | Aznárez-Sanado, Maite | |
| dc.contributor.author | Herrera, Pilar | |
| dc.contributor.author | Beruete Díaz, Miguel | |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza | eu |
| dc.contributor.department | Institute of Smart Cities - ISC | en |
| dc.contributor.funder | Gobierno de Navarra / Nafarroako Gobernua | |
| dc.date.accessioned | 2025-02-24T17:05:25Z | |
| dc.date.available | 2025-02-24T17:05:25Z | |
| dc.date.issued | 2024-10-08 | |
| dc.date.updated | 2025-02-24T16:43:49Z | |
| dc.description.abstract | A full numerical study combining artificial intelligence (AI) methods and electromagnetic simulation software on a multilayered structure for radiative cooling (RC) is investigated. The original structure is made of SiO2/Si nanometer-thick layers that make a Bragg mirror for wavelengths in the solar irradiance window (0.3–4 μm). The structures are then optimized in terms of the calculated net cooling power and characterized via the reflected and absorbed incident light as a function of their structural parameters. This investigation provides with optimal designs of beyond-Bragg, all-dielectric, ultra-broadband mirrors that provide net cooling powers in the order of ≈100 W m−2, similar to the best-performing structures in literature. Furthermore, it explains AI's success in producing these structures and enables the analysis of resonant conditions in metal-free multilayers with unconventional layer thickness distributions, offering innovative tools for designing highly efficient structures in RC. | en |
| dc.description.sponsorship | This work was supported by project PC048-049-DisenIA from Gobierno de Navarra (GN) and by grant TED2021-132074B-C33 funded by MCIN/AEI/10.13039/501100011033 and by European Union NextGenerationEU/PRTR. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Osuna Ruiz, D., Aznarez-Sanado, M., Herrera-Plaza, P., Beruete, M. (2025) Artificial intelligence-enhanced metamaterial bragg multilayers for radiative cooling. Advanced Photonics Research, 6(2), 1-13. https://doi.org/10.1002/adpr.202400088. | |
| dc.identifier.doi | 10.1002/adpr.202400088 | |
| dc.identifier.issn | 2699-9293 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/53551 | |
| dc.language.iso | eng | |
| dc.publisher | Wiley | |
| dc.relation.ispartof | Advanced Photonics Research, 2025, 6(2), 2400088 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/Gobierno de Navarra//PC048-049-DisenIA/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI//TED2021-132074B-C33/ | |
| dc.relation.publisherversion | https://doi.org/10.1002/adpr.202400088 | |
| dc.rights | © 2024 The Author(s). Advanced Photonics Research published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution andreproduction in any medium, provided the original work is properly cited. | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Artificial intelligence | en |
| dc.subject | Metamaterials | en |
| dc.subject | Multilayers | en |
| dc.subject | Passive radiative cooling | en |
| dc.title | Artificial intelligence-enhanced metamaterial bragg multilayers for radiative cooling | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | e2bd31df-fda6-4baf-a98d-cf52d52a0764 | |
| relation.isAuthorOfPublication | 6853cbd8-0a88-42ab-b165-c51b99cb6353 | |
| relation.isAuthorOfPublication.latestForDiscovery | e2bd31df-fda6-4baf-a98d-cf52d52a0764 |
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