Gravity Current Driven Smoke Dispersion In a Stratified Ambient. Smoke from bushfires transported by gravity currents, and known to occur nationwide, caused the shutdown of businesses, education and events in Canberra in 2019. Recent scientific investigations have shown that the speed of propagation and concentration of smoke in these three-dimensional gravity currents have a long term ‘memory’ of their initial configuration. In this project, high-fidelity computational and experimental techniq ....Gravity Current Driven Smoke Dispersion In a Stratified Ambient. Smoke from bushfires transported by gravity currents, and known to occur nationwide, caused the shutdown of businesses, education and events in Canberra in 2019. Recent scientific investigations have shown that the speed of propagation and concentration of smoke in these three-dimensional gravity currents have a long term ‘memory’ of their initial configuration. In this project, high-fidelity computational and experimental techniques will be used to elucidate the fundamental mechanisms of gravity current entrainment and propagation. This knowledge will set a strong foundation to improve operational forecasts of smoke transport that will allow government agencies to better respond to the negative impact of these complicated flows.Read moreRead less
Approximation theory of structured neural networks . Mathematical theory for deep learning has been desired due to the power applications of deep neural networks to deal with big data in various practical domains. The main difficulty lies in the structures and architectures imposed to networks designed for specific learning tasks. Neither the classical approximation theory nor the recent one for depths of ReLU neural networks can be applied due to the structures imposed for processing large dime ....Approximation theory of structured neural networks . Mathematical theory for deep learning has been desired due to the power applications of deep neural networks to deal with big data in various practical domains. The main difficulty lies in the structures and architectures imposed to networks designed for specific learning tasks. Neither the classical approximation theory nor the recent one for depths of ReLU neural networks can be applied due to the structures imposed for processing large dimensional data such as natural images of tens of thousands of dimensions. This project aims at an approximation theory for structured neural networks. We plan to establish mathematical theories for deconvolution with deep convolutional neural networks, operator learning, and spectral graph networks. Read moreRead less
Large Scale Natural Convection Boundary Layers with Non-Boussinesq Effects. This proposal aims to understand and predict heat transfer by turbulent natural convection in two scenarios, firstly at very large environmental scales, such as occur on melting Antarctic ice sheets, and secondly convection involving very large temperature differences such as occur in solar thermal power plants and industrial processes. These natural convection flow regimes are incredibly difficult to investigate directl ....Large Scale Natural Convection Boundary Layers with Non-Boussinesq Effects. This proposal aims to understand and predict heat transfer by turbulent natural convection in two scenarios, firstly at very large environmental scales, such as occur on melting Antarctic ice sheets, and secondly convection involving very large temperature differences such as occur in solar thermal power plants and industrial processes. These natural convection flow regimes are incredibly difficult to investigate directly but by focusing on the fundamental dynamics of the turbulent flows using large scale numerical simulations and innovative experiments, the project is expected to develop better analytical and computational models which will underpin improvements in
global ocean models and improve energy efficiency.Read moreRead less
Human Scheduling of Perceptual Tasks. This project aims to develop a novel approach for synthesising how people prioritise information with theories of attention and decision making. Characterising inefficient scheduling in the tradeoff between the difficulty and the cost/benefit of different subtasks will allow the development of a formal computional model that generalises statistical models of rank order data to a theory of the timing of scheduling decisions and task completions. Outcomes incl ....Human Scheduling of Perceptual Tasks. This project aims to develop a novel approach for synthesising how people prioritise information with theories of attention and decision making. Characterising inefficient scheduling in the tradeoff between the difficulty and the cost/benefit of different subtasks will allow the development of a formal computional model that generalises statistical models of rank order data to a theory of the timing of scheduling decisions and task completions. Outcomes include benchmark data from a novel paradigm for studying perceptual decisions and behavior and a model which can explain and predict human scheduling. This project aims to benefit industry by allowing for the simulation of information prioritisation by human agents in complex environments.Read moreRead less
Scaling laws for aerodynamics of moving wings in the Martian atmosphere. This project aims to increase understanding of the aerodynamics of bio-inspired flight in the low-density atmosphere of Mars. The significance of flight in planetary exploration is shown by the ongoing success of the Ingenuity helicopter on Mars, and the Dragonfly rotorcraft planned for use on Titan. Expected outcomes of this project will be innovative numerical modelling techniques validated using local specially designed ....Scaling laws for aerodynamics of moving wings in the Martian atmosphere. This project aims to increase understanding of the aerodynamics of bio-inspired flight in the low-density atmosphere of Mars. The significance of flight in planetary exploration is shown by the ongoing success of the Ingenuity helicopter on Mars, and the Dragonfly rotorcraft planned for use on Titan. Expected outcomes of this project will be innovative numerical modelling techniques validated using local specially designed low-pressure experimental facilities. Benefits will be more accurate design guidance for efficient and robust flapping and rotary wing robotic vehicles for Mars and other space exploration that take advantage of the unique atmospheric conditions, and in placing Australia at the forefront of such design technology.Read moreRead less
Fluid-structure-acoustics interactions of bio-inspired flapping wings. This project aims to produce a deeper understanding of the role of wingtip feathers in the remarkable abilities of birds to fly in unsteady and unpredictable aerodynamic environments, and in some cases to do so almost silently. This is achieved by developing novel numerical methods integrating fluid, structure and acoustics interactions for large deformations and complex geometries. The numerical results are validated and com ....Fluid-structure-acoustics interactions of bio-inspired flapping wings. This project aims to produce a deeper understanding of the role of wingtip feathers in the remarkable abilities of birds to fly in unsteady and unpredictable aerodynamic environments, and in some cases to do so almost silently. This is achieved by developing novel numerical methods integrating fluid, structure and acoustics interactions for large deformations and complex geometries. The numerical results are validated and complemented by using flow, structure and acoustics experiments on dynamically scaled models. The insight gained provides design guidance for more efficient, robust and stable flight of bio-inspired micro air vehicles, and in reducing the noise impact of wind turbines by innovative blade leading edge and tip shaping.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100178
Funder
Australian Research Council
Funding Amount
$453,913.00
Summary
Fast, lightweight and live nanopore sequencing analysis. This project aims to address limitations in nanopore sequencing (latest emerging technology in genomics) by applying advanced computational methods. This project expects to create new knowledge in bioinformatics and computer science through innovative approaches that leverage the live data streaming capability of nanopore devices to deliver results rapidly, or in real-time. Expected outcomes include improved, highly efficient analysis meth ....Fast, lightweight and live nanopore sequencing analysis. This project aims to address limitations in nanopore sequencing (latest emerging technology in genomics) by applying advanced computational methods. This project expects to create new knowledge in bioinformatics and computer science through innovative approaches that leverage the live data streaming capability of nanopore devices to deliver results rapidly, or in real-time. Expected outcomes include improved, highly efficient analysis methods and designs for future creation of custom computer hardware for nanopore analysis. This will facilitate widespread adoption of nanopore technology in bioscience research and applied domains (health, agriculture, ecology, biosecurity and forensics), including for portable in-the-field applications. Read moreRead less
Novel framework for optimising battery-cooling microchannel heat exchangers. Thermal overheating can affect the capacity, safety and life expectancy of batteries for renewable energy storage and electric vehicles. Microscale heat exchangers are a potential high-efficiency, low-bulk solution. This project aims to develop a novel computational methodology to optimise the design of those heat exchangers in which viscoelastic fluids are used to control flow instabilities and enhance heat transfer at ....Novel framework for optimising battery-cooling microchannel heat exchangers. Thermal overheating can affect the capacity, safety and life expectancy of batteries for renewable energy storage and electric vehicles. Microscale heat exchangers are a potential high-efficiency, low-bulk solution. This project aims to develop a novel computational methodology to optimise the design of those heat exchangers in which viscoelastic fluids are used to control flow instabilities and enhance heat transfer at the microscale. A new microscopic fluid physics model will provide data for an innovative neural network framework to optimise the working fluid conditions and microscale design, which could contribute to increased adoption of renewable energy technologies that are supported by microscale heat exchangers.Read moreRead less
3D integrated crystalline UV optical lens-fiber couplers for astronomy. This project aims to create micro-optics for astronomical and bio medical applications by 3D sculpturing them out of crystals by ultra-short pulse lasers. This project will introduce a new 3D fabrication approach of optical probes which have self-aligned micro-optical elements and optical fibres for a wide spectral range and with high quality optical surfaces. Expected outcomes of this project include building new capabiliti ....3D integrated crystalline UV optical lens-fiber couplers for astronomy. This project aims to create micro-optics for astronomical and bio medical applications by 3D sculpturing them out of crystals by ultra-short pulse lasers. This project will introduce a new 3D fabrication approach of optical probes which have self-aligned micro-optical elements and optical fibres for a wide spectral range and with high quality optical surfaces. Expected outcomes of this project include building new capabilities in micro-optical probes for industrial environments, establishing new solutions for international astronomy partners, and developing new techniques to image through optical fibres. This should provide significant benefits by improving astronomical instrumentation and also lead to less invasive endoscopy.Read moreRead less
Expanding the scramjet operating envelope through oxygen enrichment. This project aims to investigate the benefits of expanding the operating envelope of scramjets to higher altitudes and speeds by enriching their fuel with oxygen. This is expected to enhance the performance and flexibility of hypersonic air-breathing engines designed to form the core of a more reliable and economical access to space system. Expected outcomes of this project are a validated understanding and mapping of how oxyge ....Expanding the scramjet operating envelope through oxygen enrichment. This project aims to investigate the benefits of expanding the operating envelope of scramjets to higher altitudes and speeds by enriching their fuel with oxygen. This is expected to enhance the performance and flexibility of hypersonic air-breathing engines designed to form the core of a more reliable and economical access to space system. Expected outcomes of this project are a validated understanding and mapping of how oxygen enrichment can augment scramjet thrust at high altitudes and speeds, and a performance evaluation of a launch system optimised for this approach. This could provide significant benefits to the performance of reusable, air-breathing launch technology, where Australia is leading the push towards commercialisation.Read moreRead less