Neural network enabled nanoplasmonic hydrogen sensors with 100 | ResearchBunny

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Abstract

This paper reports on an optical nanoplasmonic hydrogen sensor that achieves a 100 ppm H₂ limit of detection in humid air (80% relative humidity) by combining elevated operating temperature with deep learning data analysis. The sensor utilizes Pd70Au30 alloy nanodisks and surpasses the US Department of Energy's performance target. It also meets ISO 26142:2010 stability requirements, demonstrating potential for use in high-humidity environments.

Publisher

Nature Communications

Published On

Feb 08, 2024

Authors

David Tomeček, Henrik Klein Moberg, Sara Nilsson, Athanasios Theodoridis, Iwan Darmadi, Daniel Midtvedt, Giovanni Volpe, Olof Andersson, Christoph Langhammer

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