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Quantification of Hydrogen Concentrations in Surface and Interface Layers and Bulk Materials through Depth Profiling with Nuclear Reaction Analysis
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Hydrogen distribution in Nb/Ta superlattices.

Max Wolff1, Gunnar K Pálsson, Panagiotis T Korelis

  • 1Division of Materials Physics, Department of Physics and Astronomy, Uppsala University, Box 516, S-75120 Uppsala, Sweden. max.wolff@physics.uu.se

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|June 2, 2012
PubMed
Summary

Hydrogen distribution in niobium/tantalum superlattices was studied. Strain modulations correlate with hydrogen content, favoring niobium, but hydrogen distribution showed no temperature dependence, contradicting prior research.

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Area of Science:

  • Materials Science
  • Solid State Physics
  • Nanotechnology

Background:

  • Niobium/tantalum superlattices are technologically relevant materials.
  • Understanding hydrogen behavior in these systems is crucial for their application.
  • Previous studies suggested temperature-dependent hydrogen distribution.

Purpose of the Study:

  • To investigate hydrogen distribution in niobium/tantalum superlattices.
  • To correlate strain modulations with hydrogen content.
  • To determine the effect of temperature on hydrogen distribution.

Main Methods:

  • Combined neutron reflectivity and x-ray scattering techniques were employed.
  • X-ray diffraction was used to determine strain modulations.
  • Neutron reflectivity was used for direct measurement of hydrogen concentration.

Main Results:

  • Strain modulations observed via x-ray diffraction correlate with hydrogen content.
  • Hydrogen concentration is modulated within the superlattice, favoring niobium.
  • No detectable change in hydrogen distribution was observed with varying temperature.

Conclusions:

  • Strain modulations serve as an indicator of hydrogen content variations.
  • Hydrogen preferentially segregates to niobium layers in Nb/Ta superlattices.
  • The observed lack of temperature dependence in hydrogen distribution contrasts with previous findings, suggesting a need for re-evaluation.