Computational methods in atomic collision theory. We will develop computational methods for solving interactions between particles on the atomic scale. Computational problems, of particular interest to the industry partner, are the treatment of large-scale ill-conditioned linear systems, and the extension of the Gaussian molecular structure package to collision physics. We have been world-leaders in the field of atomic collision theory for almost a decade, and now, utilising the latest software ....Computational methods in atomic collision theory. We will develop computational methods for solving interactions between particles on the atomic scale. Computational problems, of particular interest to the industry partner, are the treatment of large-scale ill-conditioned linear systems, and the extension of the Gaussian molecular structure package to collision physics. We have been world-leaders in the field of atomic collision theory for almost a decade, and now, utilising the latest software and hardware, will have the capacity to extend the numerical techniques to a vast range of collision systems of interest to science and industry, where visualisation and sheer computer power will play a major role in both
code development and production runs.Read moreRead less
Movement patterns and habitat utilisation of the endangered eastern freshwater cod, Maccullochella ikei Rowland. The project aims to quantify the movement patterns and habitat utilisation of the endangered eastern freshwater cod (Maccullochella ikei) at a larval, juvenile, adult and historical level. Most previous studies regarding the life-history of fish species have failed to adopt this holistic approach, with management often based on fragmented information. The project will also provide an ....Movement patterns and habitat utilisation of the endangered eastern freshwater cod, Maccullochella ikei Rowland. The project aims to quantify the movement patterns and habitat utilisation of the endangered eastern freshwater cod (Maccullochella ikei) at a larval, juvenile, adult and historical level. Most previous studies regarding the life-history of fish species have failed to adopt this holistic approach, with management often based on fragmented information. The project will also provide an insight into the biology of one of the most poorly understood coastal stream fishes of eastern-Australia and assist in ensuring the conservation of this endangered species, and offer a framework from which future studies into the life history of freshwater fish species worldwide can be based.Read moreRead less
Conservation genetics of the Endangered Oxleyan Pygmy Perch Nannoperca oxleyana. The aim of this study is to determine how isolation of populations of the endangered Oxleyan Pygmy Perch Nannoperca Oxleyana affects their genetic composition. The significance of the study is that it will enhance our ability to conserve the species, and enhance our understanding of the genetics of isolated populations of freshwater fish generally.
Ecology, morphology and the diversification of Australian lizards. This project aims to determine the factors driving the spectacular radiation of lizards in Australia. To date, most investigations of lizard anatomy have focused exclusively on external characteristics. This project will examine the underlying internal anatomy to investigate whether morphological innovation is associated with enhanced rates of ecological, life-history and species diversification. The project expects to shed light ....Ecology, morphology and the diversification of Australian lizards. This project aims to determine the factors driving the spectacular radiation of lizards in Australia. To date, most investigations of lizard anatomy have focused exclusively on external characteristics. This project will examine the underlying internal anatomy to investigate whether morphological innovation is associated with enhanced rates of ecological, life-history and species diversification. The project expects to shed light on the evolution of Australia’s most diverse vertebrate lineage, and provide comparative data with which to interpret the lizard fossil record in Australia, and the range declines and relative extinction risks of native lizard species.Read moreRead less
The multiplexed diagnosis of arbovirus infections using combinatorial probes. Viruses that cause serious diseases such as hemorrhagic fever or encephalitis must be quickly identified. Diagnostic tests based on DNA hybridisation are accurate and can be rapid but they are expensive. We will test a method for simplifying DNA tests and increasing their capabilities. DNA probes for detecting arboviruses will be designed at the ANU using new bioinformatic methods and their reliability will be model ....The multiplexed diagnosis of arbovirus infections using combinatorial probes. Viruses that cause serious diseases such as hemorrhagic fever or encephalitis must be quickly identified. Diagnostic tests based on DNA hybridisation are accurate and can be rapid but they are expensive. We will test a method for simplifying DNA tests and increasing their capabilities. DNA probes for detecting arboviruses will be designed at the ANU using new bioinformatic methods and their reliability will be modelled using all the available genetic information. Computer predictions will be experimentally tested in the PANBIO laboratory by using the probes to detect viral nucleic acids. The influence of virus genome complexity will be investigatedRead moreRead less
Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driv ....Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driven seasonal forecast system using high density climate data from the 17,000 Grain Growers Association members and climate drivers such as sea surface temperature from the Bureau of Meteorology. After validation against observed data, the forecasts will be delivered via a web-based portal to users.Read moreRead less
Power scaling of remote plasma sources for gallium nitride film growth with real-time monitoring of activated nitrogen species. Domestic, industrial and community lighting currently accounts for ~20% of the world's overall energy consumption. Commonly used incandescent lights are based on inefficient, century-old technologies. In contrast, light emitting diodes (LEDs) use ~80% less energy and last ~100 times longer. LED deployment will bring substantial economic and environmental benefits for Au ....Power scaling of remote plasma sources for gallium nitride film growth with real-time monitoring of activated nitrogen species. Domestic, industrial and community lighting currently accounts for ~20% of the world's overall energy consumption. Commonly used incandescent lights are based on inefficient, century-old technologies. In contrast, light emitting diodes (LEDs) use ~80% less energy and last ~100 times longer. LED deployment will bring substantial economic and environmental benefits for Australia and globally. Next generation high-efficiency LEDs for lighting, will operate with reduced energy consumption, thus contributing to reaching future national targets for CO2 emission reduction. This project will achieve reduced production cost of a key LED material, and will support Australia's leadership in a growing global semiconductor manufacturing industry.Read moreRead less
Remotely sensed forest water use in space and time. Remotely sensed forest water use in space and time. This project aims to develop and apply new methods to scale forest water use from plot to catchment-level, using relationships between plot-level annual evapotranspiration and biophysical and biochemical properties of stands detectable by unmanned aircraft systems and other remote sensing platforms. Australia's water security depends on understanding how changes in forests from disturbance and ....Remotely sensed forest water use in space and time. Remotely sensed forest water use in space and time. This project aims to develop and apply new methods to scale forest water use from plot to catchment-level, using relationships between plot-level annual evapotranspiration and biophysical and biochemical properties of stands detectable by unmanned aircraft systems and other remote sensing platforms. Australia's water security depends on understanding how changes in forests from disturbance and climate change influence catchment water yields. This project will estimate water yields over time and space in ungauged catchments with disturbed eucalypt forests. This research is expected to enable more effective risk mitigation and planning for augmentations; improved fire management strategies; and better water management of the Murray Darling Basin.Read moreRead less
New methods for mapping variation in forest water use in time and space. Disturbance of eucalypt forests can have dramatic impacts on catchment water yields. In partnership with Melbourne Water Corporation, this project will develop and test new methods for accurate mapping of variation in water use across forested water supply catchments and for accurately determining the effects of this on water supplies.
Understanding molecular negative ion production for use in pathology. The project aims to increase the yield of molecular negative ion sources by improving our understanding of the formation of ion beams from plasma sources and expand our knowledge of molecular negative ion generation in plasma environments leading to brighter ion beams. For example, understanding cancer requires cellular level tools to map how cells are changing. These maps are made using ion beams which are scanned across cell ....Understanding molecular negative ion production for use in pathology. The project aims to increase the yield of molecular negative ion sources by improving our understanding of the formation of ion beams from plasma sources and expand our knowledge of molecular negative ion generation in plasma environments leading to brighter ion beams. For example, understanding cancer requires cellular level tools to map how cells are changing. These maps are made using ion beams which are scanned across cells to remove material that is analysed at the atomic and molecular level. Ion beams are produced from plasma sources, but much of their operation is not understood. Such improved ion beams are expected to enable inexpensive and fast cellular level pathology at even small hospitals to tackle cancer for society’s benefit.Read moreRead less