Projects / Programmes source: ARIS

Quantitative Z-contrast microscopy of functional ceramics

Research activity

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
Evaluation (rules)
source: COBISS
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  767 
2.  19030  PhD Sašo Šturm  Materials science and technology  Researcher  2004 - 2006  661 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  91,921 
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.
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