| About this Abstract |
| Meeting |
TMS Specialty Congress 2025
|
| Symposium
|
The 7th International Congress on 3D Materials Science (3DMS 2025)
|
| Presentation Title |
Quantitative Analysis of Vacancy Distribution In
metals: Experiments and Simulations |
| Author(s) |
Michal Dagan, Bpatiste Gault, Julien Guénolé, George Smith, Paul Bagot, Michael Moody |
| On-Site Speaker (Planned) |
Michal Dagan |
| Abstract Scope |
Vacancies are critical to understanding materials evolution in service, however, imaging of vacancy distribution in metallic materials remains a challenge. We construct an automated reconstruction procedure to retrieve precise information on vacancies distributions from field ion microscopy data.
FIM uses an intense electrostatic field to ionise inert gas atoms in the vicinity of the surface of a cryogenically-cooled needle-shaped specimen, biased to a few kV. A FIM micrograph is a direct-projection image, revealing the atomic arrangement at the surface of the sample. As the field is increased the removal of surface atoms is enabled and FIM becomes a 3D technique.
By developing image processing to extract 3D locations of vacancies within ion-irradiated tungsten (a leading candidate for plasma facing components in fusion reactors), we demonstrate the distribution of individual vacancies inside the sample. We compare results with SRIM and MD simulations, showing qualitative agreement in vacancy depth and distribution profiles. |
| Proceedings Inclusion? |
Undecided |