journal article·2025-03-17Open access

Effect of Dynamic Reconstruction on Particle Size and Morphology in Atom Probe Tomography

Constantinos Hatzoglou, Paraskevas Kontis, Heena Khanchandani, Gerald Da Costa, Baptiste Gault, François Vurpillot

Microscopy and Microanalysis· Volume 31· Issue 2

Abstract

Abstract Atom probe tomography enables three-dimensional mapping of elements within material volumes with subnanometer resolution. Standard tomographic reconstruction methods rely on simplified assumptions regarding key parameters such as the field factor and image compression factor, which can introduce inaccuracies. In this study, we apply a dynamic reconstruction approach that adjusts these parameters in response to the evolving morphology of the specimen during field evaporation. Our results show that dynamic reconstruction significantly improves the accuracy of measurements, particularly regarding the size and morphology of nanoscale particles in aluminum and nickel alloys. Compared with standard reconstruction, the dynamic approach provides more accurate particle dimensions and shapes. These findings underscore the benefits of using dynamic reconstruction for the precise characterization of complex microstructures, especially in particle-containing materials.
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Research context

OpenAlex topics: Advanced Materials Characterization Techniques · Hydrogen embrittlement and corrosion behaviors in metals · Fusion materials and technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Engineering, NTNU, Norwegian University of Science and Technology , Trondheim 7491 ,

Max Planck Institute for Sustainable Materials, Düsseldorf 40237 ,

Univ Rouen Normandie, INSA Rouen Normandie, CNRS, Normandie Univ, GPM UMR 6634 , F-76000 Rouen ,

Department of Materials, Royal School of Mines, Imperial College, Prince Consort Road, London SW7 2BP ,

References (56)

Show source-provided references
1. A general protocol for the reconstruction of 3D atom probe data10.1016/0169-4332(94)00561-3 ↗
2. Atom probe reconstruction with a locally varying emitter shape10.1017/S1431927618015350 ↗
3. Towards an accurate volume reconstruction in atom probe tomography10.1016/j.ultramic.2016.03.008 ↗
4. Bowman · 199710.2307/2670015 ↗
5. Revealing latent pole and zone line information in atom probe detector maps using crystallographically correlated metrics10.1016/j.ultramic.2022.113640 ↗
6. How precisely are solute clusters in RPV steels characterized by atom probe experiments?10.1016/j.jnucmat.2024.155412 ↗
7. Spinodal decomposition versus classical γ′ nucleation in a nickel-base superalloy powder: An in-situ neutron diffraction and atomic-scale analysis10.1016/j.actamat.2020.09.055 ↗
8. A crystallography-mediated reconstruction (CMR) approach for atom probe tomography: Solution for a singleton pole10.1016/j.ultramic.2021.113262 ↗
9. Metrology of small particles and solute clusters by atom probe tomography10.1016/j.actamat.2020.02.023 ↗
10. Understanding atom probe tomography of oxide-supported metal nanoparticles by correlation with atomic-resolution electron microscopy and field evaporation simulation10.1021/jz500259c ↗
11. Investigation of fine scale precipitates in Al–Zn–Mg alloys after various heat treatments10.1016/S0921-5093(01)01876-7 ↗
12. Atom probe tomography investigations of microstructural evolution in an aged nickel superalloy for exhaust applications10.1007/s11661-018-5098-x ↗
13. Estimation of the reconstruction parameters for atom probe tomography10.1017/S1431927608080690 ↗
14. Impact of laser pulsing on the reconstruction in an atom probe tomography10.1016/j.ultramic.2010.04.017 ↗
15. Dynamic reconstruction for atom probe tomography10.1016/j.ultramic.2011.08.005 ↗
17. Spatial resolution in atom probe tomography10.1017/S1431927609991267 ↗
18. Advances in the calibration of atom probe tomographic reconstruction10.1063/1.3068197 ↗
19. Spatial distribution maps for atom probe tomography10.1017/S1431927607070948 ↗
20. Wide-Field-of-View atom probe reconstruction10.1017/S1431927609098249 ↗
21. Determination of matrix composition based on solute-solute nearest-neighbor distances in atom probe tomography10.1002/jemt.20899 ↗
22. Enhanced dynamic reconstruction for atom probe tomography10.1016/j.ultramic.2018.11.010 ↗
23. Introducing a dynamic reconstruction methodology for multilayered structures in atom probe tomography10.1093/micmic/ozad054 ↗
24. Mesoscopic modeling of field evaporation on atom probe tomography10.1088/1361-6463/acd649 ↗
25. Experimental artefacts occurring during atom probe tomography analysis of oxide nanoparticles in metallic matrix: Quantification and correction10.1016/j.jnucmat.2017.05.008 ↗
26. A chemical composition correction model for nanoclusters observed by APT - application to ODS steel nanoparticles10.1016/j.jnucmat.2018.03.057 ↗
27. Preferential evaporation in atom probe tomography an analytical approach10.1017/S1431927620001749 ↗
28. Analysis of radiation damage in light water reactors: Comparison of cluster analysis methods for the analysis of atom probe data10.1017/S1431927616012678 ↗
29. Nanoscale analysis of the early interreaction stages in Al/Ni10.1016/S1359-6462(01)01058-2 ↗
30. Best-Fit ellipsoids of atom-probe tomographic data to study coalescence of gamma prime (L1_2) precipitates in Ni-al-cr10.1016/j.scriptamat.2007.04.020 ↗
31. Improvements in planar feature reconstructions in atom probe tomography10.1111/j.1365-2818.2010.03474.x ↗
33. Compensating local magnifications in atom probe tomography for accurate analysis of nano-sized precipitates10.1017/S1431927621000180 ↗
34. Lefebvre · 2016
35. A bottom-up volume reconstruction method for atom probe tomography10.1017/S1431927621012836 ↗
36. Locq · 2004
37. Electrostatic simulations of a local electrode atom probe: The dependence of tomographic reconstruction parameters on specimen and microscope geometry10.1016/j.ultramic.2012.12.012 ↗
38. Analysis of strengthening in AA6111 during the early stages of aging: Atom probe tomography and yield stress modelling10.1016/j.actamat.2013.08.033 ↗
39. Chromatic aberrations in the field evaporation behavior of small precipitates10.1017/S1431927608080793 ↗
40. Image charge method for electrostatic calculations in field-emission diodes10.1063/1.360951 ↗
42. Qualification of the tomographic reconstruction in atom probe by advanced spatial distribution map techniques10.1016/j.ultramic.2009.03.016 ↗
43. On the field evaporation behavior of dielectric materials in three-dimensional atom probe: A numeric simulation10.1017/S1431927610093888 ↗
44. Reed · 2008
45. Correlated ion analysis and the interpretation of atom probe mass spectra10.1016/j.ultramic.2010.11.021 ↗
46. Influence of tertiary gamma prime (γ′) size evolution on dwell fatigue crack growth behavior in CG RR100010.1007/s11661-018-4779-9 ↗
47. On the use of a cluster identification method and a statistical approach for analyzing atom probe tomography data for GP zones in Al–Zn–Mg(–Cu) alloys10.1093/micmic/ozad133 ↗
48. Understanding the role of matrix precipitates on the environmentally assisted cracking behavior of AA 7050 alloy10.1016/j.corsci.2022.110281 ↗
49. Investigation of precipitation in an Al–Zn–Mg alloy after two-step ageing treatment at 100° and 150°C10.1016/S0921-5093(99)00231-2 ↗
50. Calibration of reconstruction parameters in atom probe tomography using a single crystallographic orientation10.1016/j.ultramic.2013.02.013 ↗
51. A quantitative model of preferential evaporation and retention for atom probe tomography10.1002/sia.5555 ↗
52. In situ site-specific specimen preparation for atom probe tomography10.1016/j.ultramic.2006.06.008 ↗
53. Pragmatic reconstruction methods in atom probe tomography10.1016/j.ultramic.2011.04.001 ↗
54. Extended depth profiling with the IAP10.1051/jphyscol:1986269 ↗
55. Simulation of field-induced molecular dissociation in atom-probe tomography: Identification of a neutral emission channel10.1103/PhysRevA.95.061401 ↗
56. Parameter free quantitative analysis of atom probe data by correlation functions: Application to the precipitation in Al-Zn-Mg-Cu10.1016/j.scriptamat.2018.05.024 ↗