Metamaterial-based square ring–hourglass resonator for broadband and polarization-independent graphene solar absorption with machine-learning-assisted optimization for renewable mining applications

Solar absorbers are promising technologies for renewable energy harvesting due to their simple and practical implementation. Their absorption performance strongly depends on the constituent materials and the geometry of the resonant structures, which can be tailored to achieve enhanced and broadband absorption. The current work is developed as a Square Ring with Hourglass Resonator Broadband Absorber (SRHRBA) structure, and the total performance is 93.63% for overall absorption at 2800 nm. With the graphene layer, it achieves more than 97% within 1000 nm, and the absorption under the AM 1.5 situation explored 96.4%. The geometry designs for lithography, the resonance development, the parametric ‘nm’ analysis, and the Random Forest model under the ML section, used with a 0.25 test size, are included in the current SRHRBA work. The incidence angles of 0 – 80-degree variation are included to show the polarization–independent development and the comparison with the related references also presented. With perfect absorption, the current SRHRBA can be used for thermal conversion involving domestic hot water, pool and space heating, industrial process heating, and photothermal catalysis.

Authors

Institutions

Publication Details

Journal
Materials Today Advances
Published
2026-11-02
DOI
https://doi.org/10.1016/j.mtadv.2026.101038
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metamaterial-based square ring–hourglass resonator for broadband and polarization-independent graphene solar absorption with machine-learning-assisted optimization for renewable mining applications

Rajendrasinh B. Jadeja, Aymen Flah, Taoufik Saidani, Refka Ghodhbani et al.
6 links
Materials Today Advances
Metamaterials and Metasurfaces Applications
article

Metamaterial-based square ring–hourglass resonator for broadband and polarization-independent graphene solar absorption with machine-learning-assisted optimization for renewable mining applications

Rajendrasinh B. Jadeja, Aymen Flah, Taoufik Saidani, Refka Ghodhbani, Bo Bo Han, Shobhit K. Patel
article en

Abstract

Solar absorbers are promising technologies for renewable energy harvesting due to their simple and practical implementation. Their absorption performance strongly depends on the constituent materials and the geometry of the resonant structures, which can be tailored to achieve enhanced and broadband absorption. The current work is developed as a Square Ring with Hourglass Resonator Broadband Absorber (SRHRBA) structure, and the total performance is 93.63% for overall absorption at 2800 nm. With the graphene layer, it achieves more than 97% within 1000 nm, and the absorption under the AM 1.5 situation explored 96.4%. The geometry designs for lithography, the resonance development, the parametric ‘nm’ analysis, and the Random Forest model under the ML section, used with a 0.25 test size, are included in the current SRHRBA work. The incidence angles of 0 – 80-degree variation are included to show the polarization–independent development and the comparison with the related references also presented. With perfect absorption, the current SRHRBA can be used for thermal conversion involving domestic hot water, pool and space heating, industrial process heating, and photothermal catalysis.

Materials Today AdvancesVol. 32
Northern Border University (SA), VSB - Technical University of Ostrava (CZ), Applied Science Private University (JO), Marwadi University (IN), Chitkara University (IN)
Vysoká Škola Bánská - Technická Univerzita Ostrava
Affordable and clean energy
Openalex Percentile: Top 35%
Metamaterials and Metasurfaces Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon