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Enhanced dynamic reconstruction for atom probe tomography.

Constantinos Hatzoglou1, Gérald Da Costa1, François Vurpillot1

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This study introduces an enhanced dynamic reconstruction algorithm for atom probe tomography, improving spatial accuracy by simulating parameter evolution during field evaporation. The method optimizes data reconstruction for better material analysis.

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Computational Modeling

Background:

  • Atom probe tomography (APT) data reconstruction is crucial for accurate material analysis.
  • Existing standard reconstruction protocols do not account for evolving parameters during field evaporation.
  • Previous dynamic reconstruction methods, like Gault et al. (2011), provide a basis for improvement.

Purpose of the Study:

  • To propose an enhanced dynamic reconstruction algorithm for atom probe tomography.
  • To improve the spatial accuracy of reconstructed APT datasets.
  • To provide a method that accounts for the evolution of reconstruction parameters during field evaporation.

Main Methods:

  • Developed an enhanced dynamic reconstruction algorithm building on Gault et al. (2011).
  • Utilized field evaporation simulation to retrieve the evolution of reconstruction parameters.
  • Inputting voltage curves and sample morphological parameters for analysis.
  • Applied the algorithm to experimental cases for validation.

Main Results:

  • Demonstrated drastic optimization of spatial accuracy in reconstructed datasets.
  • Experimentally and theoretically validated the enhanced algorithm's performance.
  • Showcased the algorithm's ability to tabulate parameter evolution based on sample morphology and microstructure.

Conclusions:

  • The enhanced dynamic reconstruction algorithm significantly improves spatial accuracy in APT data.
  • Simulating parameter evolution provides a more accurate reconstruction than standard protocols.
  • This method offers a robust approach for analyzing diverse sample morphologies and microstructures.