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The pace of modern technological development - from microelectronics to catalysts, to coatings - is driven by
fundamental breakthroughs in fabricating novel nano-structured materials. Such materials often promise unique or
enhanced physical characteristics, such as strong magnetisation or unusual reactivity. These characteristics will
derive from, but can also be compromised by, subtle, atomic-scale structural variations. In each case,
nano-resolved characterization is essential and full understanding of a material demands multiple state-of-the-art
experimental probes. The probes used in my research include beams of electrons, atoms, ions, and photons, as
well as physical devices such as the tip of an atomic force microscope. Each probe has its advantages and its
limitations and the best studies of nanostructured material combine the results from several probes in order to develop
a complete description.
A selection of my recent projects is given below. The uppermost projects derive from my time in Glasgow, whilst
some of those below are based on collaboration with colleagues in Cambridge, where more information can be found.
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Medium energy ion scattering (MEIS) uses a collimated beam of high energy ions to probe surface
structure with extremely high precision and elemental discrimination. I have been involved in several
studies of thin film growth processes, most recently looking at the deposition and alloying
of magnetic thin films. Experiments are conducted at the UK MEIS facility at Daresbury, now run by the Science and Technologies Facilities Council.
In a typical MEIS
experiment, the sample is illuminated with 100kV He or H ions, using low-index scattering geometries
that are chosen to afford surface-specific structural information. By exploiting the fact that
substrate atoms are shadowed by their overlying neighbours in certain crystallographic orientations, it
is possible to determine the interlayer spacing, atomic arrangement and layer-wise composition with
great accuracy. The sensitivity of MEIS to atomic mass is particularly valuable as it affords elemental
discrimination. Each element appears as a separate band in the two-dimensional data sets (see figure,
left); data sets are then analysed by means of best-fitting to structural simulations in order to
triangulate the position of surface atoms.
Publications: 9,11,13.
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