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Intermediate Strain Rate Material Characterization with Digital Image Correlation
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Extracting interface correlations from the pair distribution function of composite materials.

Harry S Geddes1, Henry D Hutchinson, Alex R Ha

  • 1Inorganic Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QR, UK. andrew.goodwin@chem.ox.ac.uk.

Nanoscale
|September 3, 2021
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Summary
This summary is machine-generated.

Non-negative matrix factorization (NMF) can separate phase and interface contributions in complex mixtures. This method successfully characterized the iron-iron oxide interface using X-ray scattering data.

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Area of Science:

  • Materials Science
  • Chemistry
  • Physics

Background:

  • Characterizing interfaces in complex materials is crucial for understanding their properties.
  • Existing methods struggle to isolate interface contributions from bulk phases.

Purpose of the Study:

  • To develop a novel method for deconvolving pair distribution function (PDF) data.
  • To specifically analyze the interface between iron (Fe) and iron oxide (Fe3O4).

Main Methods:

  • Utilized non-negative matrix factorization (NMF) to analyze PDF data.
  • Applied NMF to both simulated and experimental X-ray total scattering data.
  • Focused on the model system Fe∥Fe3O4.

Main Results:

  • Successfully deconvolved PDF data into phase and interface components.
  • Validated the NMF approach using theoretical models of the Fe∥Fe3O4 interface.
  • Extracted experimental interface PDF (iPDF) from corroded Fe samples, showing agreement with theory.

Conclusions:

  • NMF provides a powerful tool for interface characterization in complex materials.
  • The developed method accurately quantifies interface contributions.
  • This approach has broad implications for functional materials research.