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Surface effects on mean inner potentials studied using density functional theory.

Robert S Pennington1, Chris B Boothroyd2, Rafal E Dunin-Borkowski2

  • 1Institute for Experimental Physics, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany.

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Summary
This summary is machine-generated.

The mean inner potential, crucial for electron holography, is highly dependent on surface conditions, especially adsorbates. This study uses simulations to explain variations in experimental measurements.

Keywords:
Density functional theoryElectron holographyMean inner potentialSurface reconstruction

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Area of Science:

  • Materials Science
  • Surface Science
  • Computational Physics

Background:

  • Quantitative materials characterization via electron holography relies on accurate mean inner potential (MIP) values.
  • Experimental MIP measurements exhibit significant variability, hindering precise material analysis.

Purpose of the Study:

  • To investigate the factors influencing mean inner potential (MIP) in materials.
  • To simulate MIP variations across different surface conditions and geometries.
  • To provide insights into the discrepancies observed in experimental MIP data.

Main Methods:

  • Utilized density functional theory (DFT) for computational simulations.
  • Modeled various specimen geometries, including thin films and nanowires.
  • Considered diverse surface conditions: clean surfaces, facets, reconstructions, and adsorbate-covered surfaces.

Main Results:

  • Mean inner potential (MIP) is demonstrably surface-dependent.
  • Surface adsorbates exert the most significant influence on MIP values.
  • Simulations reveal the impact of surface structure and adsorbates on MIP.

Conclusions:

  • Surface conditions, particularly adsorbates, are critical for accurate MIP determination.
  • Computational modeling offers a pathway to understand and predict MIP variations.
  • Future experimental MIP measurements should account for detailed surface characterization.