A combinatorial approach to metamaterials discovery
E. Plum, K. Tanaka, W. T. Chen, V. A. Fedotov, D. P. Tsai, N. I., Zheludev
TL;DR
This paper introduces a high-throughput combinatorial method for designing photonic metamaterials, enabling efficient optimization through parallel synthesis and optical testing of numerous nano-structured samples under realistic manufacturing conditions.
Contribution
It presents a novel combinatorial approach that combines parallel fabrication and optical characterization for rapid metamaterials discovery and optimization.
Findings
Identified design recipes for high-Q Fano-resonance plasmonic nanostructures
Demonstrated the method's effectiveness in real manufacturing conditions
Enabled systematic exploration of design parameter space
Abstract
We report a high through-put combinatorial approach to photonic metamaterial optimization. The new approach is based on parallel synthesis and consecutive optical characterization of large numbers of spatially addressable nano-fabricated metamaterial samples (libraries) with quasi-continuous variation of design parameters under real manufacturing conditions. We illustrate this method for Fano-resonance plasmonic nanostructures arriving at explicit recipes for high quality factors needed for switching and sensing applications.
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