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Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials

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CO₂ Conversion in Cu-Pd Based Disordered Network Metamaterials with Ultrasmall Mode Volumes.

Jelena Wohlwend¹, Oliver Wipf¹, David Kiwic²

¹Laboratory for Nanometallurgy, Department of Materials, ETH Zurich, 8093 Zürich, Switzerland.

|February 20, 2025

Summary

This summary is machine-generated.

Copper-palladium plasmonic networks enable efficient plasmon-assisted catalysis by creating ultrasmall mode volumes for enhanced light localization. This scalable platform boosts CO2 conversion rates and allows tuning of reaction selectivity for optimized chemical pathways.

Keywords:

CO2 conversion EELS disordered photonics local density of optical states plasmonics self-assembled metamaterials

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Area of Science:

Plasmonics
Metamaterials
Catalysis

Background:

Plasmons can drive chemical reactions via intramolecular transitions.
Achieving strong plasmon-molecule coupling requires ultrasmall mode volumes, which is a significant challenge.

Purpose of the Study:

To introduce copper-palladium (Cu-Pd) plasmonic network metamaterials as scalable platforms for plasmon-assisted catalysis.
To investigate the catalytic performance and tunability of these novel metamaterials.

Main Methods:

Fabrication of Cu-Pd plasmonic network metamaterials.
Characterization of plasmonic properties, including local density of optical states and hotspots.
Testing catalytic performance in CO2 conversion under light illumination.

Main Results:

The Cu-Pd networks exhibit unique plasmonic environments with a high density of hotspots, localizing light in mode volumes < 8 × 10^-24 m³.
Catalytic tests for CO2 conversion showed production rates up to 4.3 × 10^2 mmol g^-1 h^-1.
Altered reaction selectivity was observed under illumination, and this selectivity could be tuned by altering the network's chemical composition.

Conclusions:

Cu-Pd plasmonic network metamaterials offer a scalable and effective platform for plasmon-assisted catalysis.
The ability to tune reaction selectivity by modifying chemical composition provides a versatile approach for optimizing catalytic processes.