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Inverse designed plasmonic metasurface with parts per billion optical hydrogen detection

Authors :
Ferry Anggoro Ardy Nugroho
Ping Bai
Iwan Darmadi
Gabriel W. Castellanos
Joachim Fritzsche
Christoph Langhammer
Jaime Gómez Rivas
Andrea Baldi
Surface Photonics
Photonics and Semiconductor Nanophysics
Photo Conversion Materials
LaserLaB - Energy
Source :
Nugroho, F A A, Bai, P, Darmadi, I, Castellanos, G W, Fritzsche, J, Langhammer, C, Gómez Rivas, J & Baldi, A 2022, ' Inverse designed plasmonic metasurface with parts per billion optical hydrogen detection ', Nature Communications, vol. 13, 5737, pp. 1-10 . https://doi.org/10.1038/s41467-022-33466-8, Nature Communications, 13:5737. Nature Publishing Group, Nature Communications, 13(1):5737, 1-10. Nature Publishing Group, Nature Communications, 13:5737, 1-10. Nature Publishing Group
Publication Year :
2022

Abstract

Plasmonic sensors rely on optical resonances in metal nanoparticles and are typically limited by their broad spectral features. This constraint is particularly taxing for optical hydrogen sensors, in which hydrogen is absorbed inside optically-lossy Pd nanostructures and for which state-of-the-art detection limits are only at the low parts-per-million (ppm) range. Here, we overcome this limitation by inversely designing a plasmonic metasurface based on a periodic array of Pd nanoparticles. Guided by a particle swarm optimization algorithm, we numerically identify and experimentally demonstrate a sensor with an optimal balance between a narrow spectral linewidth and a large field enhancement inside the nanoparticles, enabling a measured hydrogen detection limit of 250 parts-per-billion (ppb). Our work significantly improves current plasmonic hydrogen sensor capabilities and, in a broader context, highlights the power of inverse design of plasmonic metasurfaces for ultrasensitive optical (gas) detection.

Details

Language :
English
ISSN :
20411723
Volume :
13
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....d3c7b6a632662093d135c054d8b49f47
Full Text :
https://doi.org/10.1038/s41467-022-33466-8