Skin penetration of nanoparticles promoted by particle design, formulation and application method. This project seeks to better define the determinants of nanoparticle skin penetration and subsequent disposition in the body. The data would be used to guide minimal skin penetration of 'undesirable' nanoparticles and the properties required of 'safe' nanoparticles to enable effective human skin delivery in cosmetic and dermatological products.
Advancing the Science of Giant Planet Atmospheric Entry. This project aims to improve models used to design the heat shields which protect probes entering the atmospheres of the giant planets - four gaseous planets out beyond Mars. Further giant planet exploration is a key planetary science goal of the coming decade. However, the environment which an entry probe would experience features many unknowns and large uncertainties, making a mission a risky undertaking. Using unique experimental capabi ....Advancing the Science of Giant Planet Atmospheric Entry. This project aims to improve models used to design the heat shields which protect probes entering the atmospheres of the giant planets - four gaseous planets out beyond Mars. Further giant planet exploration is a key planetary science goal of the coming decade. However, the environment which an entry probe would experience features many unknowns and large uncertainties, making a mission a risky undertaking. Using unique experimental capabilities and state-of-the-art modelling, the expected project outcome is experimentally validated giant planet entry flow and surface chemistry models. This will allow more efficient heat shields to be designed while also increasing the chance of mission success, furthering our understanding of the universe.Read moreRead less
Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particl ....Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particle clustering. Computational modelling and experimental investigations will be undertaken to identify the heat transfer mechanisms of various nanofluids. The outcomes of the work will increase knowledge on nanofluids and offer a significant opportunity to improve the efficiency of many thermal engineering systems.Read moreRead less
Stochastic modelling of spatiotemporal nonlinear diffusion processes with multifractal characteristics. This research is relevant to solute transport and plume evolution in heterogeneous media. Detailed modelling of these processes is computer-intensive, while the diffusion models of this project offer a more economical alternative. Our study will also benefit the research on the salinity problem. Excessive demand for irrigation water to support agricultural production has stretched freshwater a ....Stochastic modelling of spatiotemporal nonlinear diffusion processes with multifractal characteristics. This research is relevant to solute transport and plume evolution in heterogeneous media. Detailed modelling of these processes is computer-intensive, while the diffusion models of this project offer a more economical alternative. Our study will also benefit the research on the salinity problem. Excessive demand for irrigation water to support agricultural production has stretched freshwater aquifers beyond their long-term yield. Large areas of land have been lost to saltwater intrusion. This proposal will provide suitable tools to predict the level and movement of saltwater in the aquifers. Application to the development of management strategies would bring direct benefit to coastal areas where salinity is a sustainability issue.Read moreRead less
Multiscale stochastic modelling of genetic regulatory mechanisms. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will ex ....Multiscale stochastic modelling of genetic regulatory mechanisms. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will explore these roles and will develop an integrated complex systems modelling, simulation and visualisation framework for exploring and validating genetic regulatory models in general. This will be used on an exemplar application for understanding the induction process in lambda phage.Read moreRead less
Novel source of excited metastable atoms for Atom Trap Trace Analysis. This project aims to understand and to control light-induced processes in atoms by using finely shaped and tailored laser pulses, focusing on efficient production of excited metastable atoms. This is critical for efficient Atom Trap Trace Analysis, the most advanced technique for dating ground water and geological samples. Expected outcomes of this project include new and enhanced knowledge of physics of light-matter interact ....Novel source of excited metastable atoms for Atom Trap Trace Analysis. This project aims to understand and to control light-induced processes in atoms by using finely shaped and tailored laser pulses, focusing on efficient production of excited metastable atoms. This is critical for efficient Atom Trap Trace Analysis, the most advanced technique for dating ground water and geological samples. Expected outcomes of this project include new and enhanced knowledge of physics of light-matter interactions, developing an efficient, clean source of excited metastable atoms, and integrating that source into the Australian National Facility for dating geological samples. This should provide significant benefits, such as significant improvement of operational efficiency and productivity of that facility.Read moreRead less
The improvement of climate change investigations by developing and applying innovative evolutionary subset time series modelling using semi-parametric sparse-patterned approaches. With an estimated US$6.98 trillion loss indicated in the Stern review, severe climate change will make world climate conditions harsher and more likely include large natural climate disasters. The health of the Australian economy is critically dependent on decisions of environmental managers. However, most problems of ....The improvement of climate change investigations by developing and applying innovative evolutionary subset time series modelling using semi-parametric sparse-patterned approaches. With an estimated US$6.98 trillion loss indicated in the Stern review, severe climate change will make world climate conditions harsher and more likely include large natural climate disasters. The health of the Australian economy is critically dependent on decisions of environmental managers. However, most problems of complexity arising in climate change involve issues on which we do not possess a deep understanding. This project draws upon a set of inter-disciplinary concepts and models centred in neural networks that enable us to advance our understanding of complexity, leading to superior quantitative tools and models to allow for improved environmental decision-making.
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Inequality of opportunity in Australia. This project aims to develop econometric approaches for identifying opportunity gaps in Australia and other developed countries. Inequality of opportunity arises when the birth lottery or external factors in later life, rather than personal efforts, determine a person’s chances of economic success. A high level of inequality of opportunity holds people back from realising their potential and from contributing productively to society. The project will focus ....Inequality of opportunity in Australia. This project aims to develop econometric approaches for identifying opportunity gaps in Australia and other developed countries. Inequality of opportunity arises when the birth lottery or external factors in later life, rather than personal efforts, determine a person’s chances of economic success. A high level of inequality of opportunity holds people back from realising their potential and from contributing productively to society. The project will focus on the effect of inequality of opportunity on income, health and education with special emphasis placed on Indigenous and migrant populations. The findings should help formulate cost-efficient policy interventions aimed at levelling the economic playing field.Read moreRead less
Fitting non-Gaussian diffusion models to evolutionary data: towards a generalized framework for phylogenetic comparative analyses. This project aims to develop cutting-edge statistical methods for evolutionary biology in order to answer big questions using data derived from multiple species. Such methods are needed because of the variety of multi-species data that are becoming available, which cannot be dealt with correctly using current methods. The research is significant because it will provi ....Fitting non-Gaussian diffusion models to evolutionary data: towards a generalized framework for phylogenetic comparative analyses. This project aims to develop cutting-edge statistical methods for evolutionary biology in order to answer big questions using data derived from multiple species. Such methods are needed because of the variety of multi-species data that are becoming available, which cannot be dealt with correctly using current methods. The research is significant because it will provide a new way of fitting a wide class of statistical models to evolutionary data, in a very general setting. Further, this project will unite current methodology in a broader framework so that the proposed new methods are a generalisation of currently accepted theory. The outcomes will include a freely-available software package that implements the methods in a user-friendly form.Read moreRead less
Congestion control of networks: a unified stochastic framework. Systems such as the internet, wireless networks and the power grid require efficient allocation of shared resources. This research will develop ways to reduce delays in the internet and allow for growth in the power grid, without requiring additional infrastructure.