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
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
From Snowball Earth to Animals: the Influence of Mantle Dynamics. This project aims to investigate how solid Earth processes contributed to ‘Snowball Earth’ events around 700 million years ago and to the explosion of complex life 540 million years ago, which will shed light on our origin as a species. The approach consists of merging cutting-edge models of the plate-mantle system with the global rock record. The intended outcome is to understand relationships between mantle convection, the behav ....From Snowball Earth to Animals: the Influence of Mantle Dynamics. This project aims to investigate how solid Earth processes contributed to ‘Snowball Earth’ events around 700 million years ago and to the explosion of complex life 540 million years ago, which will shed light on our origin as a species. The approach consists of merging cutting-edge models of the plate-mantle system with the global rock record. The intended outcome is to understand relationships between mantle convection, the behaviour of the magnetic field, global sea levels, continental-scale topography, and the composition of the ocean and atmosphere. Expected significant benefits include building capacity in Earth Sciences and the development of new models that can be used to explore the mineral endowment of the Australian crust.Read moreRead less
Role of modulating water wave groups in enhancing air-water fluxes. This project aims to investigate the importance of the group structure and breaking of wind-generated waves of various scales in the air-water exchange of mass, momentum and energy. This project expects to generate new understanding in the area of air-water exchanges using an innovative approach based on direct numerical simulation of wind over unsteady water wave groups for a wide range of wind speed and wave steepness conditi ....Role of modulating water wave groups in enhancing air-water fluxes. This project aims to investigate the importance of the group structure and breaking of wind-generated waves of various scales in the air-water exchange of mass, momentum and energy. This project expects to generate new understanding in the area of air-water exchanges using an innovative approach based on direct numerical simulation of wind over unsteady water wave groups for a wide range of wind speed and wave steepness conditions.
Expected outcomes of this project include generating fundamental knowledge of the unresolved physics and new parameterisations for air-water exchange rates. This will deliver more accurate and more comprehensive forecast models for weather, inland and ocean waterways, and numerous industrial processes.Read moreRead less
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
Uncertainty on spheres and shells: mathematics and methods for applications. This project aims to develop new mathematics and mathematically rigorous approximation methods for physical problems on spherical geometries in the presence of uncertainty. Many physical phenomena are modelled on either a sphere or a spherical shell. Such models typically have large uncertainty in the input data, through uncertainty in model coefficients, forcing terms, geometry or boundary conditions. Yet their stochas ....Uncertainty on spheres and shells: mathematics and methods for applications. This project aims to develop new mathematics and mathematically rigorous approximation methods for physical problems on spherical geometries in the presence of uncertainty. Many physical phenomena are modelled on either a sphere or a spherical shell. Such models typically have large uncertainty in the input data, through uncertainty in model coefficients, forcing terms, geometry or boundary conditions. Yet their stochastic modelling and subsequent numerical analysis in the presence of uncertainty are still in their infancy. This project will conduct numerical analysis, stochastic analysis and approximation to address such problems.Read moreRead less
Dynamic Earth Models for Frontier Mineral Exploration. This Project aims to investigate the link between supercontinents, mantle upwelling, and associated mineral resources by combining reconstructions of mantle flow with the global rock record. Mantle upwelling causes eruptions of volcanic provinces and associated rock formations that are rich in minerals. The expected outcomes of the Project include mapping the global potential for magmatic nickel, rare-earth elements, and diamond deposits fro ....Dynamic Earth Models for Frontier Mineral Exploration. This Project aims to investigate the link between supercontinents, mantle upwelling, and associated mineral resources by combining reconstructions of mantle flow with the global rock record. Mantle upwelling causes eruptions of volcanic provinces and associated rock formations that are rich in minerals. The expected outcomes of the Project include mapping the global potential for magmatic nickel, rare-earth elements, and diamond deposits from 1.8 billion years ago and building a research alliance between the University of Wollongong, Anglo American, and De Beers. Significant benefits will be the development of a digital framework to reduce risks in exploration for minerals that are essential for the transition to a low-carbon economy.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