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How do humans affect the nature and impacts of Australian heatwaves? This project aims to provide more accurate information on the human signal behind heatwaves and their impacts, by deriving a comprehensive approach of the detection and attribution of climate extremes. The project expects to generate robust estimates of the human signal behind high-impact events, and an innovative, versatile methodology that can be applied to any extreme event and its impacts. With the specific application to A ....How do humans affect the nature and impacts of Australian heatwaves? This project aims to provide more accurate information on the human signal behind heatwaves and their impacts, by deriving a comprehensive approach of the detection and attribution of climate extremes. The project expects to generate robust estimates of the human signal behind high-impact events, and an innovative, versatile methodology that can be applied to any extreme event and its impacts. With the specific application to Australian heatwave impacts on human health, key knowledge should support more targeted and accurate mitigation policies, minimising the strain on resources when future heatwaves occur. This should help in safeguarding future generations from deadly impacts of heatwaves.Read moreRead less
Nanoengineering Smart and Precise Antimicrobial Polymers. Designing the next generation of antimicrobial polymers. This proposal aims to combat the critical global issue of antibiotic resistance via fundamental and innovative chemistry design solutions. The proposed new design will enable the polymers to activate intelligently and precisely in the presence of specific stimuli such as bacterial enzymes for the first time, thereby endowing the polymers with both antimicrobial and biocompatible pro ....Nanoengineering Smart and Precise Antimicrobial Polymers. Designing the next generation of antimicrobial polymers. This proposal aims to combat the critical global issue of antibiotic resistance via fundamental and innovative chemistry design solutions. The proposed new design will enable the polymers to activate intelligently and precisely in the presence of specific stimuli such as bacterial enzymes for the first time, thereby endowing the polymers with both antimicrobial and biocompatible properties. Both properties are crucially needed for successful translation into practical applications. This proposal will lead to new and effective avenues in fighting multidrug-resistant bacteria and will significantly benefit Australia's healthcare and agriculture sectors.Read moreRead less
Controllable synthesis of multifunctional boron-based 2D materials. This project aims to make it possible to control the synthesis of boron-based two-dimensional (2D) materials with the desired following features in single or multiple aspects: thickness, composition, lateral sizes, porosity, surface area, and functionality. It intends to do so by designing and synthesising novel precursors, and by optimising the fabrication process of boron-based 2D nanosheets for different applications. The pro ....Controllable synthesis of multifunctional boron-based 2D materials. This project aims to make it possible to control the synthesis of boron-based two-dimensional (2D) materials with the desired following features in single or multiple aspects: thickness, composition, lateral sizes, porosity, surface area, and functionality. It intends to do so by designing and synthesising novel precursors, and by optimising the fabrication process of boron-based 2D nanosheets for different applications. The project will advance our fundamental knowledge in synthetic chemistry, materials chemistry, materials engineering and physics. It is expected to take us closer to unlocking the potential of boron-based 2D materials for real-world applications in, for example, energy storage and high-performance flexible electronics.Read moreRead less
In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases ....In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.Read moreRead less
The role of social-emotional learning in attaining literacy and numeracy. This project aims to characterise variability in developmental pathways to literacy and numeracy, and the factors that contribute to this variation, utilising innovative analytical approaches and population data. This project expects to generate new knowledge regarding the role of school-based social-emotional learning programs in supporting children’s achievement of literacy and numeracy. Expected outcomes of the project ....The role of social-emotional learning in attaining literacy and numeracy. This project aims to characterise variability in developmental pathways to literacy and numeracy, and the factors that contribute to this variation, utilising innovative analytical approaches and population data. This project expects to generate new knowledge regarding the role of school-based social-emotional learning programs in supporting children’s achievement of literacy and numeracy. Expected outcomes of the project include enhanced collaboration with government to deliver policy-relevant information on the most effective targets and timing for delivering social-emotional programs that maximise academic learning. This should assist policy makers to develop better strategies to support every child’s academic achievement.Read moreRead less
Polymer nanodiscs. This project aims to produce disc-shaped polymer nanomaterials by utilising a new self-assembly concept based on oppositely charged polymers. This project expects to generate a modular technology that allows synthesis and control over the geometry and functionality of polymer nanoparticles. This level of control will permit a precise investigation of polymer nanodisc properties for nanomedicine applications. Expected outcomes of this project will be the fundamental understandi ....Polymer nanodiscs. This project aims to produce disc-shaped polymer nanomaterials by utilising a new self-assembly concept based on oppositely charged polymers. This project expects to generate a modular technology that allows synthesis and control over the geometry and functionality of polymer nanoparticles. This level of control will permit a precise investigation of polymer nanodisc properties for nanomedicine applications. Expected outcomes of this project will be the fundamental understanding of how nanoparticle geometry affects particle-cell interaction and how nanoscale polymer discs can be used to mimic biological nanoparticles in shape and function.Read moreRead less
The deep-sea carbon reservoir through geological time. Despite being by far the largest carbon reservoir on Earth, deep-sea carbonate and its recycling through the Earth system are the most significant missing links in our knowledge of the global carbon cycle. This project aims to track the evolution of the deep-sea carbon reservoir over the last 150 million years by using recently developed spatio-temporal computational and model-data synthesis tools. The project will provide the first rigorous ....The deep-sea carbon reservoir through geological time. Despite being by far the largest carbon reservoir on Earth, deep-sea carbonate and its recycling through the Earth system are the most significant missing links in our knowledge of the global carbon cycle. This project aims to track the evolution of the deep-sea carbon reservoir over the last 150 million years by using recently developed spatio-temporal computational and model-data synthesis tools. The project will provide the first rigorous quantification of the distribution and volume of carbon in deep-sea carbonate, and its fluxes between the Earth’s surface and interior. It will advance our understanding of the history and rate of carbon dioxide storage and degassing over geological time, and inform public debate on climate change.Read moreRead less
Parameter estimation for genetic time-series data: Theory and methods. This project aims to develop a novel computational framework for solving parameter estimation problems in evolutionary modelling by leveraging genetic time-series data measured by Next-Generation Sequencing technologies. It will foster international collaboration, cutting across disciplines. By introducing new techniques from signal processing and tools from random matrix theory commonly employed for mobile wireless communica ....Parameter estimation for genetic time-series data: Theory and methods. This project aims to develop a novel computational framework for solving parameter estimation problems in evolutionary modelling by leveraging genetic time-series data measured by Next-Generation Sequencing technologies. It will foster international collaboration, cutting across disciplines. By introducing new techniques from signal processing and tools from random matrix theory commonly employed for mobile wireless communications, it seeks to design scalable inference methods for resolving mutational fitness effects from genetic time-series measurements of complex evolving populations. This would enable new understanding of complex adaptive systems, such as pathogen evolution, host-immune dynamics, and acquisition of drug resistance. Read moreRead less
Structure-property relationships in compositionally complex alloys. Physical metallurgy has entered a new era of compositionally complex metallic alloys that show unprecedented combinations of mechanical properties enabling the design of more energy-efficient and economically viable applications. This project aims to generate new knowledge about how locally-resolved, nano-scale atomic arrangements control macroscopic deformation behavior in these materials and develop a fundamental understanding ....Structure-property relationships in compositionally complex alloys. Physical metallurgy has entered a new era of compositionally complex metallic alloys that show unprecedented combinations of mechanical properties enabling the design of more energy-efficient and economically viable applications. This project aims to generate new knowledge about how locally-resolved, nano-scale atomic arrangements control macroscopic deformation behavior in these materials and develop a fundamental understanding of their processing-structure-fracture toughness relationships. Expected outcomes include an enhanced capacity to design materials with damage-tolerant properties superior to existing alloys from bottom up, thereby allowing for commercial benefits throughout transportation, defense, and biomedical device sectors.Read moreRead less
Simulating complexity: ultrastrong interactions in superconducting circuits. This project aims to explore effects of strong interactions on phases of light and matter in complex quantum systems, by mimicking them with surrogates called quantum simulators. The project expects to open up new research directions by building a novel versatile simulator platform from nanoscale superconducting electronic circuits in which all elements are flexibly engineered and precisely controlled. Expected outcomes ....Simulating complexity: ultrastrong interactions in superconducting circuits. This project aims to explore effects of strong interactions on phases of light and matter in complex quantum systems, by mimicking them with surrogates called quantum simulators. The project expects to open up new research directions by building a novel versatile simulator platform from nanoscale superconducting electronic circuits in which all elements are flexibly engineered and precisely controlled. Expected outcomes from the project will include better understanding of complex materials and a certifiable scaling-up pathway towards simulation complexity, future hi-tech manufacturing; and enhanced research capacity in the new interdisciplinary field of quantum engineering. This should help to position Australia as a centre for hi-tech quantum industry leading to both social and economic benefits.Read moreRead less