Genetic-algorithm-aided ultra-broadband perfect absorbers using plasmonic metamaterials
Alexandre Mayer, Hai Bi, Sarah Griesse-Nascimento, Benoit, Hackens, J\'erome Loicq, Eric Mazur, Olivier Deparis, Micha\"el, Lobet

TL;DR
This paper employs a genetic algorithm to optimize ultra-broadband electromagnetic absorbers made of metal/dielectric stacks, achieving over 99% absorption across 420-1600 nm with robustness to angle and geometry.
Contribution
It introduces a GA-based optimization of multilayer plasmonic metamaterials for ultra-broadband absorption, identifying high-performance configurations with practical robustness.
Findings
Ni/PMMA, Ti/PMMA, Cr/PMMA, and W/PMMA achieve >99% absorption
Over 10^17 configurations explored, few optimal solutions identified
Optimal absorbers maintain performance over broad angles
Abstract
Complete absorption of electromagnetic waves is paramount in today's applications, ranging from photovoltaics to cross-talk prevention into sensitive devices. In this context, we use a genetic algorithm (GA) strategy to optimize absorption properties of periodic arrays of truncated square-based pyramids made of alternating stacks of metal/dielectric layers. We target ultra-broadband quasi-perfect absorption of normally incident electromagnetic radiations in the visible and near-infrared ranges (wavelength comprised between 420 and 1600 nm). We compare the results one can obtain by considering one, two or three stacks of either Ni, Ti, Al, Cr, Ag, Cu, Au or W for the metal, and poly(methyl methacrylate) (PMMA) for the dielectric. More than 10^17 configurations of geometrical parameters are explored and reduced to a few optimal ones. This extensive study shows that Ni/PMMA, Ti/PMMA,…
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