Projects / Programmes
Quantitative Z-contrast microscopy of functional ceramics
Code |
Science |
Field |
Subfield |
2.04.00 |
Engineering sciences and technologies |
Materials science and technology |
|
Code |
Science |
Field |
T150 |
Technological sciences |
Material technology |
T153 |
Technological sciences |
Ceramic materials and powders |
P260 |
Natural sciences and mathematics |
Condensed matter: electronic structure, electrical, magnetic and optical properties, supraconductors, magnetic resonance, relaxation, spectroscopy |
P351 |
Natural sciences and mathematics |
Structure chemistry |
HAADF-STEM, transmission electron microscopy, crystal structure, nanostructure, planar faults, grain boundaries, atomic-resolution analysis, chemical analysis
Researchers (2)
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
04355 |
PhD Spomenka Kobe |
Materials science and technology |
Head |
2004 - 2006 |
764 |
2. |
19030 |
PhD Sašo Šturm |
Materials science and technology |
Researcher |
2004 - 2006 |
649 |
Organisations (1)
no. |
Code |
Research organisation |
City |
Registration number |
No. of publicationsNo. of publications |
1. |
0106 |
Jožef Stefan Institute |
Ljubljana |
5051606000 |
90,753 |
Abstract
The microstructure and resulting physical properties of nanostructured functional ceramic are strongly defined by the nature of structural and compositional imperfections on the atomic level. In view of this, the aim of the proposed project foresees studies of chemical composition and structure in technologically important nanostructured functional ceramic with atomically resolved Z-contrast (HAADF-STEM) imaging where structure and composition are simultaneously characterized on the atomic scale. In order to reconstruct the structure and the composition of the investigated material properly, an exact HAADF-STEM image interpretation algorithm will be developed, based on the quantitative correlation between simulated and experimental HAADF-STEM images. The result will be the atomic model of the investigated defect optimized by the composition.