2022
DOI: 10.1038/s41467-022-29092-z
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Resonant neutron reflectometry for hydrogen detection

Abstract: The detection and quantification of hydrogen is becoming increasingly important in research on electronic materials and devices, following the identification of the hydrogen content as a potent control parameter for the electronic properties. However, establishing quantitative correlations between the hydrogen content and the physical properties of solids remains a formidable challenge. Here we report neutron reflectometry experiments on 50 nm thick niobium films during hydrogen loading, and show that the mome… Show more

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Cited by 7 publications
(12 citation statements)
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“…In particular, the ability to track hydrogen gas and moisture content in films and correlate this with superconducting, electrical, or magnetic performance may become critical. In situ transport measurements, [98] [133] Copyright 2013, American Physical Society. c) Position-sensitive area detector image of scattering from a Co nanodot array grown on Co/Pd.…”
Section: Discussionmentioning
confidence: 99%
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“…In particular, the ability to track hydrogen gas and moisture content in films and correlate this with superconducting, electrical, or magnetic performance may become critical. In situ transport measurements, [98] [133] Copyright 2013, American Physical Society. c) Position-sensitive area detector image of scattering from a Co nanodot array grown on Co/Pd.…”
Section: Discussionmentioning
confidence: 99%
“…To demonstrate the precision of the resonant waveguide enhancement method and its ability to track changes of the sample properties, the authors of ref. [98] measured PNR simultaneously with the widely used, albeit indirect, electrical resistivity sampling approach. As shown in Figure 5d, after the introduction of hydrogen, the resonance position displays a linear time dependence which tracks with the sample resistance (i.e., a property of the sample known to depend sensitively on the hydrogen content).…”
Section: Hydrogen-induced Modifications At Interfacesmentioning
confidence: 99%
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