Neural network enabled nanoplasmonic hydrogen sensors with 100 | ResearchBunny

Index

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

Related Publications

Explore these studies to deepen your understanding of the subject.

Mathematics

An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network

R. C. Budzinski, A. N. Busch, et al.

Medicine and Health

A critical role of brain network architecture in a continuum model of autism spectrum disorders spanning from healthy individuals with genetic liability to individuals with ASD

B. Khundrakpam, N. Bhutani, et al.

Medicine and Health

Detection of cerebrospinal fluid biomarkers changes of Alzheimer's disease using a cognitive stress test in persons with subjective cognitive decline and mild cognitive impairment

M. Valles-salgado, M. J. Gil-moreno, et al.

Medicine and Health

Effectiveness, Acceptability and Feasibility of Technology-Enabled Health Interventions for Adolescents Living with HIV in Low-and Middle-Income Countries: A Systematic Review

P. B. Tchounwou, C. A. Latkin, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs—just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny