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Atom Probe Tomography Analysis of Exsolved Mineral Phases
08:14

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Published on: October 25, 2019

Pragmatic reconstruction methods in atom probe tomography.

F Vurpillot1, M Gruber, G Da Costa

  • 1Groupe de Physique des Matériaux - GPM UMR CNRS 6634, Université de Rouen, France. francois.vurpillot@univ-rouen.fr

Ultramicroscopy
|August 26, 2011
PubMed
Summary
This summary is machine-generated.

Accurate atom probe tomography analysis requires advanced reconstruction methods. This study introduces a simulation model to improve the analysis of multilayered materials and planar interfaces by accounting for varying projection parameters.

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Physics

Background:

  • Atom probe tomography (APT) generates precise 3D compositional data.
  • Accurate reconstruction of APT data is essential for reliable analysis.
  • Large analysis areas in modern APT instruments necessitate sophisticated reconstruction techniques.

Purpose of the Study:

  • To develop a simulation model for extracting key projection parameters in APT.
  • To address the limitations of standard reconstruction assumptions in APT analysis.
  • To improve the accuracy of compositional data for multilayered materials and planar interfaces.

Main Methods:

  • Development of a simulation model for APT projection parameters.
  • Analysis of tip and instrumentation geometries' influence on projection features.
  • Implementation of an improved reconstruction method for samples with planar features.

Main Results:

  • Identified significant variations in image compression and field factors during APT analysis.
  • Demonstrated that standard assumptions about projection parameters are often inaccurate.
  • Developed a model that accounts for sample geometry, particularly planar features.

Conclusions:

  • The proposed simulation model and improved reconstruction method enhance APT data reliability.
  • Accurate consideration of projection parameters is critical for analyzing complex material structures.
  • This work provides a pathway for more precise compositional mapping in APT.