Artificial Intelligence‐Enhanced Metamaterial Bragg Multilayers for Radiative Cooling
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...
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| Format: | Article |
| Language: | English |
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Wiley-VCH
2025-02-01
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| Series: | Advanced Photonics Research |
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| Online Access: | https://doi.org/10.1002/adpr.202400088 |
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| author | David Osuna Ruiz Maite Aznarez‐Sanado Pilar Herrera‐Plaza Miguel Beruete |
| author_facet | David Osuna Ruiz Maite Aznarez‐Sanado Pilar Herrera‐Plaza Miguel Beruete |
| author_sort | David Osuna Ruiz |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-38d78e6478bb4973bbe9c04b53d433ec |
| institution | Kabale University |
| issn | 2699-9293 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Advanced Photonics Research |
| spelling | doaj-art-38d78e6478bb4973bbe9c04b53d433ec2025-02-06T08:56:40ZengWiley-VCHAdvanced Photonics Research2699-92932025-02-0162n/an/a10.1002/adpr.202400088Artificial Intelligence‐Enhanced Metamaterial Bragg Multilayers for Radiative CoolingDavid Osuna Ruiz0Maite Aznarez‐Sanado1Pilar Herrera‐Plaza2Miguel Beruete3Department of Electrical, Electronic and Communications Engineering Public University of Navarra 31006 Pamplona SpainAsociación de la Industria Navarra (AIN), Digital Technologies Area 31191 Cordovilla SpainAsociación de la Industria Navarra (AIN), Digital Technologies Area 31191 Cordovilla SpainDepartment of Electrical, Electronic and Communications Engineering Public University of Navarra 31006 Pamplona SpainA 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.https://doi.org/10.1002/adpr.202400088artificial intelligencemetamaterialsmultilayerspassive radiative cooling |
| spellingShingle | David Osuna Ruiz Maite Aznarez‐Sanado Pilar Herrera‐Plaza Miguel Beruete Artificial Intelligence‐Enhanced Metamaterial Bragg Multilayers for Radiative Cooling Advanced Photonics Research artificial intelligence metamaterials multilayers passive radiative cooling |
| title | Artificial Intelligence‐Enhanced Metamaterial Bragg Multilayers for Radiative Cooling |
| title_full | Artificial Intelligence‐Enhanced Metamaterial Bragg Multilayers for Radiative Cooling |
| title_fullStr | Artificial Intelligence‐Enhanced Metamaterial Bragg Multilayers for Radiative Cooling |
| title_full_unstemmed | Artificial Intelligence‐Enhanced Metamaterial Bragg Multilayers for Radiative Cooling |
| title_short | Artificial Intelligence‐Enhanced Metamaterial Bragg Multilayers for Radiative Cooling |
| title_sort | artificial intelligence enhanced metamaterial bragg multilayers for radiative cooling |
| topic | artificial intelligence metamaterials multilayers passive radiative cooling |
| url | https://doi.org/10.1002/adpr.202400088 |
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