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IFM researchers have developed a new, highly efficient method of preparing porous and reduced graphene oxide.
A portable device that uses 'smart matter' could transform medical diagnosis in developing countries.
Professor Lingxue Kong
+61 (3) 522 72087
Using advanced computational simulation and image processing technology to understand:
Developing advanced image analysis for the characterization of materials including particles, porous materials and composites.
Providing better visualization, automatic measurements of a range of morphological and topological properties, texture classification, object detection and classification.
Recomposition of 3D nano-structures by 3D tomography - the material can be virtually recomposed into ultra-thin slices in order to access its properties.
Nanofluidics are a new class of fluids which consist of a base fluid with suspended nano-sized particles (1-100 nm). The particles are generally metals or oxides, increasing heat transfer (conduction and convection) coefficients.
Nanotechnology is being used or considered for use in many applications to provide cleaner, more efficient energy supplies and uses. These include engine cooling, engine transmission oil, cooling of electronics, boiler exhaust flue gas recovery, heating and cooling of buildings, domestic refrigerator and chiller cooling, nuclear systems cooling, solar water heating, defence, space and biomedical applications, lubrications, thermal storage and drag reductions.
An example of a nano fluid modelling system where carbon nanotubes interact with a surface in solution.
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