Machine learning-optimized graphene-integrated refractory metasurface for broadband solar energy harvesting

Abstract A graphene-integrated refractory metasurface absorber is proposed for broadband solar thermal energy conversion. Near-unity broadband absorptance across 300–2500 nm is achieved through three concurrent mechanisms: free-space impedance matching, ground-plane-mediated transmission suppression...

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Autori principali:	Hussein A. Elsayed, Emad Solouma, Jacob Wekalao, Ahmed Mehaney, Mohammed Messaoudi, Amuthakkannan Rajakannu, Abdelrahman M. Rabie, Wail Al Zoubi
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2026-05-01
Serie:	Scientific Reports
Soggetti:	Broadband metamaterial absorber Graphene-integrated metasurface Localized surface plasmon resonance Photothermal energy conversion Machine learning surrogate optimization Refractory metasurface
Accesso online:	https://doi.org/10.1038/s41598-026-51399-w
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