Many biologically and technologically important materials ranging from oil-bearing rocks to printing paper have a highly intricate structure involving interconnected labyrinths of pores. The School has several research programs studying the flow properties of these disordered porous media. Improved understanding of the physics of such processes has applications ranging from the petrochemical industries to the design of bubble jet printer inks and papers. The School is a major partner in the CRC for Functional Communication Surfaces. A strong theoretical team and novel experimental facilities such as ultra high resolution computed tomography come together to make the School a leader in this area.
RSPE also undertakes research aimed at understanding the enigmatic processes of long range ordering and self assembly, which for example, enables animals like the sea urchin to construct a skeleton out of polycrystalline elements which collectively exhibit some single crystal properties. Biomineralisation has also many potential commercial applications such as the production of low temperature super ceramics as well as wider scientific implications such as the search for Martian life.
Selected research highlights
Potential student research projects
You could be doing your own research into fusion and plasma confinement. Below are some examples of student physics research projects available in RSPE.
Please browse our full list of available physics research projects to find a project that interests you.
We aim to use machine learning techniques to identify minerals and components of three dimensional images obtained from X-ray micro Computed Tomography (XCT).
A variety of projects are available that will contribute to the enumeration and characterisation of 3-periodic network structures via the tiling of periodic minimal surfaces and thereby enhance our understanding of self-assembled structures in nature.
The ANU has constructed an X-ray micro-computed tomography facility with a unique helical scanning configuration that enables tomographic images of extremely high quality to be produced. This experimental project will work with theoreticians to image the evolution of time-changing samples with unprecented time resolution.
Develop new methods for quantifying the shape of leaves and explore how these are correlated with their physical and biological properties.