3D printed microchemical devices and systems. This project aims to address the barriers faced by 3D printing in chemistry. 3D printing can create bespoke 3D structures within a fraction of time and cost compared to traditional fabrication. However, its scope in chemistry has been limited by the poor chemical robustness, biotoxicity and low resolution of the 3D printed components. Hence, this project will develop novel gold coating techniques and explore high-resolution 3D printing to overcome th ....3D printed microchemical devices and systems. This project aims to address the barriers faced by 3D printing in chemistry. 3D printing can create bespoke 3D structures within a fraction of time and cost compared to traditional fabrication. However, its scope in chemistry has been limited by the poor chemical robustness, biotoxicity and low resolution of the 3D printed components. Hence, this project will develop novel gold coating techniques and explore high-resolution 3D printing to overcome these challenges. The project should generate commercially significant products (analytical platforms), technology (gold coating) and patents. The developed systems and technologies will address Australian research challenges in advanced manufacturing and enable on-site environmental monitoring.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100593
Funder
Australian Research Council
Funding Amount
$465,237.00
Summary
Membrane-based real-time ammonia monitoring system for sewage treatment. This project aims to develop a real-time, calibration-free, low-maintenance ammoniacal nitrogen monitoring system to assist in optimised wastewater treatment control. This project expects to generate new knowledge in the area of sensing technology using a self-developed membrane-based analytical principle, which overcomes the challenge of directly and accurately determining ammonia in a harsh wastewater environment. Expecte ....Membrane-based real-time ammonia monitoring system for sewage treatment. This project aims to develop a real-time, calibration-free, low-maintenance ammoniacal nitrogen monitoring system to assist in optimised wastewater treatment control. This project expects to generate new knowledge in the area of sensing technology using a self-developed membrane-based analytical principle, which overcomes the challenge of directly and accurately determining ammonia in a harsh wastewater environment. Expected outcomes include new theories in membrane-based sensing techniques and a market-ready field-based ammonia analytical system. This should provide significant benefits, such as a new technology for optimising wastewater treatment and reducing emissions and a valuable analytical tool to safeguard effluent quality.Read moreRead less
Thermal Optimisation of Gigascale Solar Photovoltaics. Large-scale solar photovoltaics are critical to decarbonising the global economy. Sun Cable is developing the world’s largest solar farm in the Northern Territory, and is considering deploying the 5B MAV solar array. At this scale, temperature-induced panel efficiency losses represent a major challenge that must be overcome through thermal performance optimisation. We will build sophisticated multiscale models to simulate and understand the ....Thermal Optimisation of Gigascale Solar Photovoltaics. Large-scale solar photovoltaics are critical to decarbonising the global economy. Sun Cable is developing the world’s largest solar farm in the Northern Territory, and is considering deploying the 5B MAV solar array. At this scale, temperature-induced panel efficiency losses represent a major challenge that must be overcome through thermal performance optimisation. We will build sophisticated multiscale models to simulate and understand the multiple interacting phenomena that cause panel heating, for the first time. This project will create the tools and know-how to optimise array design and solar farm development, delivering major efficiency gains and enhancing the viability of future gigascale solar projects.Read moreRead less
New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This ....New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This will provide significant benefits to all fields in which data displays any form of trending behaviour. The proposed model is used to evaluate the economic consequences of climate change and global housing market contagion, which provide strong evidence-based insights to the environmental and economic policies in Australia.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
3D Hypersonic Shock-Turbulent-Boundary-Layer Interactions. Shock-wave turbulent-boundary-layer interactions occur on hypersonic flight vehicles and can lead to high heating and increased drag. This is a paramount design issue that needs addressing. We aim to understand and quantify fundamental phenomena occurring in such interactions using state-of-the-art instrumentation and wind-tunnel facilities. Surfaces will be heated to realistic flight temperatures to simulate accurately the flight enviro ....3D Hypersonic Shock-Turbulent-Boundary-Layer Interactions. Shock-wave turbulent-boundary-layer interactions occur on hypersonic flight vehicles and can lead to high heating and increased drag. This is a paramount design issue that needs addressing. We aim to understand and quantify fundamental phenomena occurring in such interactions using state-of-the-art instrumentation and wind-tunnel facilities. Surfaces will be heated to realistic flight temperatures to simulate accurately the flight environment and include effects not reproduced with cold models. The effects of 3D features of the interactions will lead to new understanding of how the flow develops through a combination of experiments and numerical simulations. Future designs of hypersonic flight vehicles will benefit from knowledge gained.Read moreRead less
Pathogenic Repeat Expansions In Ataxia: Advancing Gene Discovery And Genetic Diagnosis
Funder
National Health and Medical Research Council
Funding Amount
$645,205.00
Summary
Hereditary ataxia is a severe neurological disorder that results in impaired coordination and balance and affects 1 in 20,000 Australians. Ataxias are often caused by complex genetic mutations called repeat expansions (RE), which are difficult to detect. Therefore, genetic diagnosis of ataxia remains limited and poorly accessible, leading to a gap in clinical care. In this study, we will utilise modern advances in genetic sequencing technology to diagnose and discover ataxias caused by REs.
Measuring uncertainty in global housing markets and its risk to Australia. This project aims to develop and construct a measure of systemic risk for the national real-estate markets in Australia, and its main trading partners, namely China, Japan, New Zealand, United Kingdom and United States of America. Recently developed methodology will be used to investigate how real estate risks migrate across these countries over time, and during periods of financial turbulence. This methodology is intende ....Measuring uncertainty in global housing markets and its risk to Australia. This project aims to develop and construct a measure of systemic risk for the national real-estate markets in Australia, and its main trading partners, namely China, Japan, New Zealand, United Kingdom and United States of America. Recently developed methodology will be used to investigate how real estate risks migrate across these countries over time, and during periods of financial turbulence. This methodology is intended to be employed as part of a market stability surveillance program and for assessing the impact of real-estate risk on the overall economy. Early detection of the onset of future housing bubble collapses would be of significant benefit to policy makers, Australia’s trading partners, the real estate industry and ultimately home buyers.Read moreRead less
Advanced Bayesian Inversion Algorithms for Wave Propagation. This project aims to improve algorithms for detecting hidden items by developing new computational mathematical techniques capable of reconstructing the shape and location of objects using electromagnetic waves. This project expects to generate new knowledge in the areas of Bayesian Inversion and computational wave propagation. Expected outcomes of this project are algorithms that can be developed for use in nonintrusive radio wave sec ....Advanced Bayesian Inversion Algorithms for Wave Propagation. This project aims to improve algorithms for detecting hidden items by developing new computational mathematical techniques capable of reconstructing the shape and location of objects using electromagnetic waves. This project expects to generate new knowledge in the areas of Bayesian Inversion and computational wave propagation. Expected outcomes of this project are algorithms that can be developed for use in nonintrusive radio wave security scanners. This should provide benefits such as the capability to scan a crowd without a checkpoint, which will have the potential to improve security in public places.Read moreRead less