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Updated: May 26, 2025

Atom Probe Tomography Analysis of Exsolved Mineral Phases

Atom Probe Tomography Analysis of Exsolved Mineral Phases

Published on: October 25, 2019

Uncertainties in interfacial excess calculations from atom probe tomography data.

Levi Tegg¹, Julie M Cairney¹

¹School of Aerospace, Mechanical, and Mechatronic Engineering, Australian Centre for Microscopy and Microanalysis, The University of Sydney, Camperdown, New South Wales, Australia.

Journal of Microscopy

|February 21, 2025

Summary

This summary is machine-generated.

Atom probe tomography (APT) measurements of solute segregation at interfaces can have significant uncertainty. This study models compositional uncertainty in APT, revealing large relative errors for dilute solutes and offering strategies to minimize them.

Keywords:

atom probe tomography composition profile compositional uncertainty interfacial excess

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Area of Science:

Materials Science
Surface Science
Analytical Chemistry

Background:

Atom probe tomography (APT) is a key technique for analyzing solute segregation at internal interfaces.
Existing APT protocols often overlook the compositional uncertainty associated with dilute solutes.
Accurate quantification of interfacial excess is crucial for understanding material properties.

Purpose of the Study:

To develop general models for solute composition profiles at interfaces, incorporating compositional uncertainty.
To assess the impact of this uncertainty on the calculated interfacial excess.
To provide strategies for minimizing uncertainty in APT data analysis.

Main Methods:

Derivation of general models for solute segregation at interfaces.
Fitting models to experimental data, including cumulative compositional uncertainty.
Analysis of different boundary estimation methods and their effect on results.

Main Results:

The relative uncertainty in interfacial excess can be substantial for dilute solutes, even with clear segregation profiles.
Varying boundary estimation methods yields different interfacial excess and uncertainty values.
The number of solute counts in the region-of-interest fundamentally limits precision.

Conclusions:

Compositional uncertainty is a critical factor in APT analysis of dilute solute segregation.
Careful modeling and boundary estimation are necessary to accurately quantify interfacial excess.
Minimizing uncertainty requires strategies that account for limited solute counts in APT.