Stochastic ion emission perturbation mechanisms in atom probe tomography: Linking simulations to experiment

Field evaporation in atom probe tomography (APT) includes known processes related to surface migration of atoms, such as the so-called roll-up mechanism. They lead to trajectory aberrations and artifacts on the detector. These processes are usually neglected in simulations. The inclusion of such processes is crucial for providing reliable models for the development and verification of APT reconstruction algorithms, a key part of the whole methodology. Here, we include stochastic lateral velocity perturbations and a roll-up mechanism to simulations performed using the Robin-Rolland model. By comparing with experimental data from Al and Ni systems, we find the stochastic perturbation energy distributions that allow us to very accurately reproduce the detector patterns seen experimentally and thus greatly improve the accuracy of the simulations. We also explore the possible causes of remaining discrepancies between the experimental and simulated detector patterns.

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Publication Details

Journal
Physical Review Materials
Published
2026-03-03
DOI
https://doi.org/10.1103/tg1g-s7r2
Primary Topic
Advanced Materials Characterization Techniques
Type
article
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article

Stochastic ion emission perturbation mechanisms in atom probe tomography: Linking simulations to experiment

Mikko Alava, Tero Mäkinen, Ivan Lomakin, F. Vurpillot et al.
Physical Review Materials
Advanced Materials Characterization Techniques
article

Stochastic ion emission perturbation mechanisms in atom probe tomography: Linking simulations to experiment

Mikko Alava, Tero Mäkinen, Ivan Lomakin, F. Vurpillot, Aslam Shaikh
article en

Abstract

Field evaporation in atom probe tomography (APT) includes known processes related to surface migration of atoms, such as the so-called roll-up mechanism. They lead to trajectory aberrations and artifacts on the detector. These processes are usually neglected in simulations. The inclusion of such processes is crucial for providing reliable models for the development and verification of APT reconstruction algorithms, a key part of the whole methodology. Here, we include stochastic lateral velocity perturbations and a roll-up mechanism to simulations performed using the Robin-Rolland model. By comparing with experimental data from Al and Ni systems, we find the stochastic perturbation energy distributions that allow us to very accurately reproduce the detector patterns seen experimentally and thus greatly improve the accuracy of the simulations. We also explore the possible causes of remaining discrepancies between the experimental and simulated detector patterns.

Physical Review MaterialsVol. 10(3)
Normandie Université (FR), Université de Rouen Normandie (FR), Aalto University (FI)
Climate action
Openalex Percentile: Top 38%
Advanced Materials Characterization Techniques
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Stochastic ion emission perturbation mechanisms in atom probe tomography: Linking simulations to experiment — Mikko Alava, Tero Mäkinen, et al. · Physical Review Materials (2026) | TGRS Research Map | TGRS