A multi-scale approach for modelling coupled transport in heterogeneous and anisotropic porous media. Mathematical Sciences foster interdisciplinary collaboration and underpin fundamental understanding of significant national/international research priorities in science and technology. This world-class team will advance knowledge in modelling complex systems ensuring the competitiveness of Australian research in this important field. A key outcome is a multi-scale computational strategy that can ....A multi-scale approach for modelling coupled transport in heterogeneous and anisotropic porous media. Mathematical Sciences foster interdisciplinary collaboration and underpin fundamental understanding of significant national/international research priorities in science and technology. This world-class team will advance knowledge in modelling complex systems ensuring the competitiveness of Australian research in this important field. A key outcome is a multi-scale computational strategy that can be used by engineers in Australia and France to simulate transport phenomena in porous media, which have significant environmental impact. The research will lead to publications in scientific journals and communications at national/international conferences. Research training of postdocs and PhD students is another excellent outcome of the project.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
Theoretical modelling and design of safe covalent anti-cancer drugs. Covalent drugs are a new class of drugs with outstanding potential in cancer therapy. Detailed computer modelling studies will be performed to determine how these drugs interact with an important target in cancer therapy, the epithelial growth factor receptor, and thereby aid the development of new cancer treatments.
Stochastic Modelling of Genetic Regulatory Networks: Subtitle - Genetic Regulation is a Noisy Business. 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 ....Stochastic Modelling of Genetic Regulatory Networks: Subtitle - Genetic Regulation is a Noisy Business. 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. This will be used on an exemplar application for lineage commitment in haematopoiesis and for exploring and validating genetic regulatory models in general.Read moreRead less
Physics-informed Computational Framework for Optimised Microfluidic Systems. The miniaturisation of chemical and biological processes requires microfluidic tools for the precise manipulation of complex fluids at the microscale. This project aims to integrate new computational methods that enable unprecedented control over the design and optimisation of these tools. The project will deliver a cornerstone framework to elucidate the complex microscopic fluid physics that currently poses a challenge ....Physics-informed Computational Framework for Optimised Microfluidic Systems. The miniaturisation of chemical and biological processes requires microfluidic tools for the precise manipulation of complex fluids at the microscale. This project aims to integrate new computational methods that enable unprecedented control over the design and optimisation of these tools. The project will deliver a cornerstone framework to elucidate the complex microscopic fluid physics that currently poses a challenge for the advancement of microfluidic technologies. The outcomes of this project will establish physical principles to guide the design of microfluidic systems and provide the computational capabilities that can potentially transform the way researchers and engineers design, optimise and use microfluidic technologies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101854
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Exploring A New Family of 2D Heterogeneous Topological Insulator. The project aims to reveal a new family of two-dimensional heterostructure topological insulators by extensive theoretical simulations, and develop feasible approaches to control the topological phase, thus enabling their use in practical nanodevice applications. The project aims not only to advance knowledge in material chemistry and condensed matter physics, but also to lead to technology revolutions in information technology, c ....Exploring A New Family of 2D Heterogeneous Topological Insulator. The project aims to reveal a new family of two-dimensional heterostructure topological insulators by extensive theoretical simulations, and develop feasible approaches to control the topological phase, thus enabling their use in practical nanodevice applications. The project aims not only to advance knowledge in material chemistry and condensed matter physics, but also to lead to technology revolutions in information technology, clean energy generation and cooling devices based on topological insulators. The outcomes are expected to produce new technology applications in electronics, communications, information technology, data storage and transportation.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
Qualitative and quantitative modelling of hydraulic fracturing of brittle materials. Few technologies have caused more concern in the general population than the so called hydraulic fracturing technique, applied to enhance the hydraulic conductivity of resource-bearing rocks by injecting high pressure fluids. The concern revolves around uncertainty with leakage of used chemicals to overlying aquifers, unwanted seismic events and surface subsidence. This research, combining experimental and compu ....Qualitative and quantitative modelling of hydraulic fracturing of brittle materials. Few technologies have caused more concern in the general population than the so called hydraulic fracturing technique, applied to enhance the hydraulic conductivity of resource-bearing rocks by injecting high pressure fluids. The concern revolves around uncertainty with leakage of used chemicals to overlying aquifers, unwanted seismic events and surface subsidence. This research, combining experimental and computational investigations, aims to establish fundamental understanding of key processes controlling fracture formation in brittle materials (coal seams and porous rocks) under the action of hydraulic fracturing. The research outcomes will help to assess and minimise the risks associated with the hydraulic fracturing technology. Read moreRead less
Force Fields for Structure Refinement and Computational Drug Design. The ability to model molecular systems at an atomic level, as used in protein structure refinement or computational drug design, is critically dependent on the accuracy with which inter-atomic interactions are represented. Highly optimised and well-validated interaction parameters are available for common biomolecules, such as amino acids, sugars and lipids, but not for co-factors, substrates and potential drug molecules, or ot ....Force Fields for Structure Refinement and Computational Drug Design. The ability to model molecular systems at an atomic level, as used in protein structure refinement or computational drug design, is critically dependent on the accuracy with which inter-atomic interactions are represented. Highly optimised and well-validated interaction parameters are available for common biomolecules, such as amino acids, sugars and lipids, but not for co-factors, substrates and potential drug molecules, or other molecules of interest such as polymers and dendrimers. The aim of this project is to develop and validate geometric and interaction parameters (force fields) for complex organic molecules and use these to facilitate bio-molecular structure refinement and computational drug design.Read moreRead less