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May 7, 2026Scientific ReportsOpen Access

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

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Authors

HEHussein A. ElsayedESEmad SoloumaJWJacob Wekalao

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Overview

This research demonstrates enhanced absorptance in a broadband graphene metasurface, suggesting improved solar energy harvesting efficiency.

Key Points

  • The aim is to develop a metasurface optimized for solar energy harvesting using machine learning techniques.
  • Optimization of a graphene-integrated refractory metasurface configuration using machine learning algorithms.
  • Evaluation of the metasurface's absorptance and spectral performance under near normal incidence illumination.
  • Achieved a peak absorptance of 99.99% in the optimized configuration.
  • Attained a broadband solar-weighted average absorptance of 98.6%.

Cite This Study

Elsayed et al. (2026) studied this question.

synapsesocial.com/papers/69fbe2f2164b5133a91a2424https://doi.org/10.1038/s41598-026-51399-w
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