Discovery Early Career Researcher Award - Grant ID: DE240100755
Funder
Australian Research Council
Funding Amount
$430,788.00
Summary
Fluid dynamics of underground hydrogen storage. The project seeks to understand the flow of hydrogen in underground porous layers. This will be achieved through mathematical models of the continuum mechanics governing the injection and withdrawal of hydrogen. The framework will account for a variety of physical and biological mechanisms. Underground storage of zero-carbon hydrogen provides an ideal route to overcome the intermittency of renewable energy. The project outcomes include a mathematic ....Fluid dynamics of underground hydrogen storage. The project seeks to understand the flow of hydrogen in underground porous layers. This will be achieved through mathematical models of the continuum mechanics governing the injection and withdrawal of hydrogen. The framework will account for a variety of physical and biological mechanisms. Underground storage of zero-carbon hydrogen provides an ideal route to overcome the intermittency of renewable energy. The project outcomes include a mathematical description of the response of two-phase flow instabilities to injection and withdrawal, and dynamical insights into the role of microbial growth on flow in porous media. Expected benefits are increased efficiency of hydrogen recovery and the reduced cost of site selection.
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Producing clean energy through geomimetic chemistry. This project aims to provide new chemical pathways able to produce clean energy by following a computational geomimetic approach. It will generate new knowledge in the field of materials science, by characterising the rich mineral chemistry observed on ocean floors and in extra-terrestrial environments that is naturally able to produce fuel through harvesting carbon dioxide. Expected outcomes include a full understanding of chemical reactions ....Producing clean energy through geomimetic chemistry. This project aims to provide new chemical pathways able to produce clean energy by following a computational geomimetic approach. It will generate new knowledge in the field of materials science, by characterising the rich mineral chemistry observed on ocean floors and in extra-terrestrial environments that is naturally able to produce fuel through harvesting carbon dioxide. Expected outcomes include a full understanding of chemical reactions that are at present unexplored at a fundamental level. This will open new perspectives in their potential employment to address the contemporary challenge of producing clean energy and will generate environmental and economic benefit to the Australian and international communities.Read moreRead less
Uncovering molecular pathways to minerals for control of crystallisation. This project aims to increase our knowledge of the processes of mineral formation and crystallisation. Minerals play a vital role in our environment, for example as reservoirs for carbon dioxide, while also substantially contributing to the Australian economy. Conversely, undesirable formation of minerals can be detrimental to industries from the oil/gas sector through to desalination. Despite the benefits that would come ....Uncovering molecular pathways to minerals for control of crystallisation. This project aims to increase our knowledge of the processes of mineral formation and crystallisation. Minerals play a vital role in our environment, for example as reservoirs for carbon dioxide, while also substantially contributing to the Australian economy. Conversely, undesirable formation of minerals can be detrimental to industries from the oil/gas sector through to desalination. Despite the benefits that would come from controlling such crystal growth, progress has been limited by the lack of a complete understanding of how minerals form at the microscopic level. This project aims to combine computer simulation, using the latest petascale resources, with experimental data to yield knowledge that would allow us to manipulate minerals, such as calcium carbonate, with the same control found in nature.Read moreRead less
Evaluating the Network Neuroscience of Human Cognition to Improve AI. This project will translate the brain’s inherent complexity into a set of explorable networks that will test the network theory of intelligence, and also be used to drive advances in next generation artificial neural networks. Our approach will catalyse new knowledge regarding how the complexity of the brain gives rise to cognition using innovative analyses inspired by physics and engineering. This fresh perspective on cogniti ....Evaluating the Network Neuroscience of Human Cognition to Improve AI. This project will translate the brain’s inherent complexity into a set of explorable networks that will test the network theory of intelligence, and also be used to drive advances in next generation artificial neural networks. Our approach will catalyse new knowledge regarding how the complexity of the brain gives rise to cognition using innovative analyses inspired by physics and engineering. This fresh perspective on cognition will accelerate understanding of normal cognitive function and also advance the development of advances in artificial neural network performance. Expected outcomes include methods to describe the computational signature of how cognition emerges from dynamic brain network activity and novel AI algorithms. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100794
Funder
Australian Research Council
Funding Amount
$419,000.00
Summary
Prediction of new electrolytes for improved electrical energy storage. This project aims to identify new electrolyte solutions with suitable properties for use in improved electrical energy storage technologies. Identifying new electrolyte solutions is a crucial challenge for improving the performance of many technologies including energy storage. This project applies quantum mechanical calculation to develop a fast, accurate and predictive model of the properties of electrolyte solutions. High ....Prediction of new electrolytes for improved electrical energy storage. This project aims to identify new electrolyte solutions with suitable properties for use in improved electrical energy storage technologies. Identifying new electrolyte solutions is a crucial challenge for improving the performance of many technologies including energy storage. This project applies quantum mechanical calculation to develop a fast, accurate and predictive model of the properties of electrolyte solutions. High throughput computational screening based on this model can then identify new electrolytes that can be used in technologies such as energy storage. This should give Australia a competitive edge in the rapidly growing energy storage industry, while also accelerating the shift away from harmful fossil fuels. Read moreRead less
The fluid dynamics of intrusions. This project aims to investigate intrusions, the primarily horizontal flows of well-mixed fluid into density-stratified surroundings. Such flows are fundamental in the atmosphere and oceans, but they are little understood because they are controlled by strong feedback between the intrusion and internal waves generated in the stratified ambient. Existing studies rely on computationally intensive simulations, analogue experiments or ad-hoc models of limited appl ....The fluid dynamics of intrusions. This project aims to investigate intrusions, the primarily horizontal flows of well-mixed fluid into density-stratified surroundings. Such flows are fundamental in the atmosphere and oceans, but they are little understood because they are controlled by strong feedback between the intrusion and internal waves generated in the stratified ambient. Existing studies rely on computationally intensive simulations, analogue experiments or ad-hoc models of limited applicability. This project expects to develop and validate a new, broadly applicable and rigorous mathematical model for such flows. Expected benefits include improved volcanic ash dispersal modelling and improved understanding of climate-critical oceanic and atmospheric flows.Read moreRead less
Rational materials design: gas adsorption in porous crystals. This project aims to develop new, general theoretical methods to accurately describe gas adsorption in porous crystals. These will be combined with novel quantum formalisms, allowing the accurate calculation of thermochemical properties of adsorbed gases. The anticipated goals of this project are the design of new materials with enhanced gas storage and separation capabilities, with an emphasis on carbon dioxide, methane and hydrogen ....Rational materials design: gas adsorption in porous crystals. This project aims to develop new, general theoretical methods to accurately describe gas adsorption in porous crystals. These will be combined with novel quantum formalisms, allowing the accurate calculation of thermochemical properties of adsorbed gases. The anticipated goals of this project are the design of new materials with enhanced gas storage and separation capabilities, with an emphasis on carbon dioxide, methane and hydrogen adsorption. The benefits of this project are in the application of these materials to pressing energy and environmental concerns.Read moreRead less
A new asymptotic toolbox for nonlinear discrete systems and particle chains. This project aims to pioneer a mathematical toolbox of new asymptotic techniques for discrete systems driven by vanishingly small influences. The purpose of these techniques is to permit the asymptotic study of discrete problems in which significant effects originate due to subtle causes that are invisible to existing asymptotic methods. Discrete systems play a significant role in modern applied mathematics, and it is v ....A new asymptotic toolbox for nonlinear discrete systems and particle chains. This project aims to pioneer a mathematical toolbox of new asymptotic techniques for discrete systems driven by vanishingly small influences. The purpose of these techniques is to permit the asymptotic study of discrete problems in which significant effects originate due to subtle causes that are invisible to existing asymptotic methods. Discrete systems play a significant role in modern applied mathematics, and it is vital that mathematical tools be designed in order to explore their behaviour. The aim of this project is to open new pathways for resolving open scientific problems, providing benefits such as understanding the energy dissipation of particle chains and granular lattices contained in small-scale technological components.Read moreRead less
Creating Hybrid Exponential Asymptotics for use with Computational Data. Asymptotic analysis is a vital tool for studying small influences with critical effects. This project aims to create an innovative fully-automated asymptotic framework for studying phenomena which are invisible to classical approximation methods, using new ideas from asymptotics and numerical complex analysis. The outcome will be the first framework that can be used on data from numerical simulations or real-life measuremen ....Creating Hybrid Exponential Asymptotics for use with Computational Data. Asymptotic analysis is a vital tool for studying small influences with critical effects. This project aims to create an innovative fully-automated asymptotic framework for studying phenomena which are invisible to classical approximation methods, using new ideas from asymptotics and numerical complex analysis. The outcome will be the first framework that can be used on data from numerical simulations or real-life measurements, and which can be applied automatically without hands-on expert input. It will be used to design submerged structures and efficient vessels with minimal energy loss from surface waves. Expected benefits include making powerful methods accessible to scientists, and new paths for energy-efficient industrial design.Read moreRead less