Ultra-broadband and high-efficiency hierarchical metasurface solar absorber designed by dual-population co-evolution genetic algorithm

Runteng Luo; Haining Ji; Yufeng Wang; Shan Jin; Yuzhuo Ma; Sida Zhu; Yicheng Long; Haoran Yang; Bin Liu

doi:10.1039/d5ta10139e

January 1, 2026Journal of Materials Chemistry A

Ultra-broadband and high-efficiency hierarchical metasurface solar absorber designed by dual-population co-evolution genetic algorithm

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Key Points

The central aim is to enhance solar energy absorption through an innovative metasurface design.
Developed a hierarchical metasurface for solar absorption
Utilized a dual-population co-evolution genetic algorithm for design optimization
Evaluated the absorber's performance across a broad spectrum of light
Achieved significant improvements in energy absorption efficiency
Demonstrated effectiveness in ultra-broadband light conditions
Validated the design's performance through simulations and comparisons with existing technologies

Implication

Demonstrates a novel solar absorber design in solar energy systems, suggesting improved efficiency and absorption capabilities.

Abstract

As a core clean energy source to address the energy crisis and advance carbon neutrality, solar energy's efficient utilization hinges on broadband light absorption, which is pivotal for overcoming the...

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Cite This Study

Luo et al. (2026) studied this question.

synapsesocial.com/papers/6980fe13c1c9540dea80fcb0 https://doi.org/10.1039/d5ta10139e

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Ultra-broadband and high-efficiency hierarchical metasurface solar absorber designed by dual-population co-evolution genetic algorithm

Key Points

Implication

Abstract

Discussion

Cite This Study

Ultra-broadband and high-efficiency hierarchical metasurface solar absorber designed by dual-population co-evolution genetic algorithm

Key Points

Implication

Abstract

Discussion

Cite This Study

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