Towards quantitative structure determination through electron
microscopy
Project members: A.J. den Dekker, S. Van Aert (University of
Antwerp), D. Van Dyck (University of
Antwerp)
Sponsored by:
KNAW
As scientists manage to control the structure of materials on an ever
finer scale, more and more materials are being developed with
interesting properties which are mainly related to their
nanostructure. Parallel to this, one sees an evolution in solid-state
theory where materials properties are increasingly better understood
from first principle theoretical calculations. The merging of these
fields will enable materials science to evolve into materials
design. In order to correlate real properties with theoretical
simulations, characterization methods in the future need to be able to
determine atom positions in aperiodic structures with a precision of
the order of 1 pm. Electron microscopy has this potential. From all
possible imaging particles, electrons are the best candidates since
they interact most strongly with matter to provide local information
on atomic scale. However, the goal is not yet reached. Thus far, the
technique has mostly been based on a qualitative basis, mainly as a
result of the strong and hence complicated interaction of the
electrons with the material. However, the directly interpretable
resolution is no better than near-atomic (ca. 0.2 nm). For the future,
this will be totally insufficient. To meet the future requirements,
the electron microscopy images should be interpreted quantitatively
instead of qualitatively. It is our goal to show that the
interpretation of the images could greatly benefit from a quantitative
model-based approach (in which statistical parameter estimation plays
a crucial role) accompanied by quantitative statistical experimental
design. The final objective is to develop a reliable quantitative
electron microscopy method and an accompanying methodology for
experimental design, which allow one to determine coordinates of the
projected atomic structure with the required precision.
Next: Optimal statistical analysis of functional
Up: Physical imaging systems
Previous: Physical imaging systems
|