Protein Structure and Dynamics by Electron/Nuclear Paramagnetic Resonance. This interdisciplinary project aims to establish new magnetic resonance methods for the analysis of protein structure and motion at low concentrations and in physiological conditions that are otherwise difficult or impossible to study. It brings together four different research groups with expertise in advanced biochemistry, modern magnetic spectroscopy and high-performance computing. The project expects to develop tools ....Protein Structure and Dynamics by Electron/Nuclear Paramagnetic Resonance. This interdisciplinary project aims to establish new magnetic resonance methods for the analysis of protein structure and motion at low concentrations and in physiological conditions that are otherwise difficult or impossible to study. It brings together four different research groups with expertise in advanced biochemistry, modern magnetic spectroscopy and high-performance computing. The project expects to develop tools to study protein structure, protein-protein association and protein-ligand interactions of established drug-targets. Expected outcomes include new techniques that quickly inform how drugs work, providing significant benefits to many researchers studying biomolecules, and supporting Australia’s growing biotechnology sector. Read moreRead less
Time consistency, risk-mitigation and partially observable systems. This project aims to find optimal decision rules that mitigate risk in a time consistent manner for partially observable systems. Many problems in conservation management and engineering systems are dependent on random environments and entail risk of failure. The challenge of consistently minimising such a risk while achieving satisfactory and sustainable resource consumption is considerable. This project aims to develop analyti ....Time consistency, risk-mitigation and partially observable systems. This project aims to find optimal decision rules that mitigate risk in a time consistent manner for partially observable systems. Many problems in conservation management and engineering systems are dependent on random environments and entail risk of failure. The challenge of consistently minimising such a risk while achieving satisfactory and sustainable resource consumption is considerable. This project aims to develop analytical and numerical methods for optimal control in such scenarios. These methods will have application to fishery management, communication networks, power systems and social resource allocation scenarios.Read moreRead less
A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optima ....A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optimal design and experimental validations. It will accelerate the design of these new carbon-based fibres as game-changing materials in a wide range of areas. Ultimately this project has the potential to deliver significant economic benefits and will place Australia at the forefront of the industrial revolution of the future.Read moreRead less
How bacteria form resistant aggregates and biofilms. This research aims to use interdisciplinary approaches to advance fundamental knowledge on bacterial aggregates and biofilms. These bacterial clusters are a significant problem as they have extraordinary resistance to disinfectants and antibiotics, and currently no effective methods are available to disrupt them. The expected outcomes of this project are to dissect how autotransporters, the most common group of bacterial cell-surface proteins, ....How bacteria form resistant aggregates and biofilms. This research aims to use interdisciplinary approaches to advance fundamental knowledge on bacterial aggregates and biofilms. These bacterial clusters are a significant problem as they have extraordinary resistance to disinfectants and antibiotics, and currently no effective methods are available to disrupt them. The expected outcomes of this project are to dissect how autotransporters, the most common group of bacterial cell-surface proteins, promote aggregation and biofilm formation, and to develop inhibitors that prevent the formation of these damaging bacterial clusters. Ultimately, this new knowledge will help address the increasing economic and social burden of industrial, environmental and biomedical biofilms.Read moreRead less
Multilayer Graphene Based Anti-Corrosion Polymer Coated Structures. This project aims to develop a novel multilayer graphene/polymer coating for structures exposed to corrosive environment with graphene concentration varying layer-wise to eliminate galvanic corrosion yet maintain all unique advantages owing to graphene inclusion, thus offering a cost-effective design solution with significantly improved anti-corrosion performance and remarkably enhanced safety and durability for structures. Expe ....Multilayer Graphene Based Anti-Corrosion Polymer Coated Structures. This project aims to develop a novel multilayer graphene/polymer coating for structures exposed to corrosive environment with graphene concentration varying layer-wise to eliminate galvanic corrosion yet maintain all unique advantages owing to graphene inclusion, thus offering a cost-effective design solution with significantly improved anti-corrosion performance and remarkably enhanced safety and durability for structures. Expected outcomes of this project include an innovative design, experimental data on corrosion prevention, development of reliable simulation techniques and design procedures for the proposed coating. This should provide huge benefits to Australian civil, offshore and marine engineering industry and national economy.Read moreRead less
Human Leukocyte Antigen-A and -B regulation of Natural Killer cell function. The aim of this project is to determine how genetic variation in the genes encoding cell surface receptors expressed by innate lymphocytes and the molecules they recognise diversifies their capacity to sense and respond to infection. This knowledge is critical for understanding why there are intrinsic differences between individuals with respect to their capacity to respond to different types of infection and will ultim ....Human Leukocyte Antigen-A and -B regulation of Natural Killer cell function. The aim of this project is to determine how genetic variation in the genes encoding cell surface receptors expressed by innate lymphocytes and the molecules they recognise diversifies their capacity to sense and respond to infection. This knowledge is critical for understanding why there are intrinsic differences between individuals with respect to their capacity to respond to different types of infection and will ultimately inform our capacity to better deploy personalised medicines.Read moreRead less
Characterisation of mechanical behaviour of lithiated silicon. This project aims to develop novel characterisation and numerical techniques, thus aiming to solve the problem of mechanical failure in silicon based high energy density lithium-ion batteries. This will be achieved through development of novel techniques for in situ microscopy observation, nano-mechanics testing and atomistic modeling. The expected outcomes are effective solutions for development of reliable and efficient battery sys ....Characterisation of mechanical behaviour of lithiated silicon. This project aims to develop novel characterisation and numerical techniques, thus aiming to solve the problem of mechanical failure in silicon based high energy density lithium-ion batteries. This will be achieved through development of novel techniques for in situ microscopy observation, nano-mechanics testing and atomistic modeling. The expected outcomes are effective solutions for development of reliable and efficient battery systems. This project will provide significant benefits in the development of new power sources and energy storage devices for mobile electronics, electric vehicle and sustainable energy industries.Read moreRead less
Metabolite regulation of mitochondrial fission. This project aims to understand how the function and health of mitochondria – the energy producing structures in cells - are controlled by fat molecules. The project expects to integrate cutting edge techniques and instrumentation to generate new knowledge of how fat molecules interact with, and influence, enzymes that control how cells maintain their mitochondria in response to nutrient state. An anticipated goal is to define a fingerprint for enz ....Metabolite regulation of mitochondrial fission. This project aims to understand how the function and health of mitochondria – the energy producing structures in cells - are controlled by fat molecules. The project expects to integrate cutting edge techniques and instrumentation to generate new knowledge of how fat molecules interact with, and influence, enzymes that control how cells maintain their mitochondria in response to nutrient state. An anticipated goal is to define a fingerprint for enzymes regulated by fat molecules that will be of great interest to researchers across many branches of life sciences. Expected outcomes and benefits will be deeper understanding of fat molecules as nutrient signalling metabolites, and how they influence cell metabolism, growth and development.Read moreRead less
Molecular mechanisms of novel bacterial copper defense proteins. This project aims to reveal molecular and cellular mechanisms used by bacteria to neutralise the destructive effects of copper. Copper is an essential trace element in living systems. It is toxic to bacteria and so plays a vital role in nutritional immunity. To counteract copper toxicity, bacteria have evolved defense mechanisms. The project will investigate a novel but poorly understood class of bacterial proteins, the suppressor ....Molecular mechanisms of novel bacterial copper defense proteins. This project aims to reveal molecular and cellular mechanisms used by bacteria to neutralise the destructive effects of copper. Copper is an essential trace element in living systems. It is toxic to bacteria and so plays a vital role in nutritional immunity. To counteract copper toxicity, bacteria have evolved defense mechanisms. The project will investigate a novel but poorly understood class of bacterial proteins, the suppressor of copper sensitivity proteins, that contribute to this key virulence trait. The expected outcomes will be fundamental new knowledge of metallo-protein diversity, bacterial virulence mechanisms, and membrane protein function with potential impact on health, environment, and biotechnology.Read moreRead less
A Novel Surrogate Framework for evaluating THM Properties of Bentonite. Compacted bentonite as favoured engineered barrier material is widely used in environmental geotechnics and its failure can incur huge societal, economic and environmental loss. The project aims to develop a novel surrogate model to identify the optimal controllable factors' value to increase barrier's integrity and reliability. It expects to advance the fundamental knowledge of bentonite thermo-hydro-mechanical properties t ....A Novel Surrogate Framework for evaluating THM Properties of Bentonite. Compacted bentonite as favoured engineered barrier material is widely used in environmental geotechnics and its failure can incur huge societal, economic and environmental loss. The project aims to develop a novel surrogate model to identify the optimal controllable factors' value to increase barrier's integrity and reliability. It expects to advance the fundamental knowledge of bentonite thermo-hydro-mechanical properties through advanced molecular dynamics modelling, statistic learning and machine learning. It will deliver revolution design approach for bentonite used in engineered barriers in Australia and internationally. In the long-time it will bring huge economic, societal and environmental benefits to our community.Read moreRead less