Molecular Interactions of Chemical Agents with Ion-Channel Proteins. With a minimal number of functional units (proteins) viruses are able to replicate. All of these proteins are possible antiviral targets. In this project we wil1 focus on a short protein called Vpu found in membranes of the HIV-1 virus and aim to analyse the interaction of potential pore blocking compounds. It is essential to know exactly where they sit and how the overall structure of Vpu is affected. For this enterprise we wi ....Molecular Interactions of Chemical Agents with Ion-Channel Proteins. With a minimal number of functional units (proteins) viruses are able to replicate. All of these proteins are possible antiviral targets. In this project we wil1 focus on a short protein called Vpu found in membranes of the HIV-1 virus and aim to analyse the interaction of potential pore blocking compounds. It is essential to know exactly where they sit and how the overall structure of Vpu is affected. For this enterprise we will use nuclear magnetic resonance (NMR) spectroscopy. This information will serve as a springboard for future investigations of virus membrane proteins.
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Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition ....Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition and micro-texturing via modelling of the light absorption and heat transport within these complex nanocomposite structures. The intended outcome of the project is a set of commercially competitive absorber coatings, with superior performance and durability, that support the development of CSP as a competitive technology for energy generation.Read moreRead less
Stable perovskite-unlocking the full potential of low-cost solar cells. Despite impressive conversion efficiency, the perovskites' poor stability impedes their commercialization. This project aims to develop strategies for stable perovskite solar cells. This will be realized by a thorough understanding of the degradation origins with stimuli, and development of degradation mitigation strategies including materials and interfaces engineering, defect control and passivation, synergized by a system ....Stable perovskite-unlocking the full potential of low-cost solar cells. Despite impressive conversion efficiency, the perovskites' poor stability impedes their commercialization. This project aims to develop strategies for stable perovskite solar cells. This will be realized by a thorough understanding of the degradation origins with stimuli, and development of degradation mitigation strategies including materials and interfaces engineering, defect control and passivation, synergized by a systematic degradation evaluation, state-of-art multi-scale material and device characterizations and device modeling providing feedback for optimization. The project will bring new scientific findings, key technological step-change solutions, unlocking the full potential of perovskites for cheaper photovoltaic technologies.
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Development of Optimised Processes for Manufacturing Melamine-Urea-Formaldehyde Type Resins, and Improved Resins and Reconstituted Wood Products Derived from Resins. Melamine-urea-formaldehyde resins are used to manufacture water-resistant particleboards, papers and laminates. This project is expected to provide more efficient processes for the industrial preparation of these resins, and improved resins and reconstituted wood products derived from the resins. Methods will be developed to assess ....Development of Optimised Processes for Manufacturing Melamine-Urea-Formaldehyde Type Resins, and Improved Resins and Reconstituted Wood Products Derived from Resins. Melamine-urea-formaldehyde resins are used to manufacture water-resistant particleboards, papers and laminates. This project is expected to provide more efficient processes for the industrial preparation of these resins, and improved resins and reconstituted wood products derived from the resins. Methods will be developed to assess the structure of the resins, in order to relate resin synthesis with structure and function, and therefore optimise performance as well as simplify the manufacturing process. Potential replacements for melamine will be prepared and evaluated. It is anticipated that these will confer particular properties on the resins and the wood products, such as strength and durability.Read moreRead less
Exploiting deep sub-surface temperature-induced phase-transformations for an improved approach to semiconductor laser-dicing. This project aims to explore sub-surface laser-induced phase transformations in semiconductors and to exploit this novel method for ultra-fine laser cutting of semiconductor wafers without debris. The outcomes will be understanding new temperature-induced material modifications and innovative technology development relevant for the semiconductor industry.
A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural netw ....A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.Read moreRead less
Understanding the molecular basis of heparanase activity. This project aims to advance our understanding of the structure and impact on biological processes of heparanase (HSPE), an enzyme of critical importance. HSPE’s ability to interact with heparan sulfate (HS), a key component of the extracellular matrix and basement membranes, makes HPSE a pivotal enzyme in many important physiological and disease-related processes ranging from angiogenesis, tumour metastasis, inflammation, hair follicle ....Understanding the molecular basis of heparanase activity. This project aims to advance our understanding of the structure and impact on biological processes of heparanase (HSPE), an enzyme of critical importance. HSPE’s ability to interact with heparan sulfate (HS), a key component of the extracellular matrix and basement membranes, makes HPSE a pivotal enzyme in many important physiological and disease-related processes ranging from angiogenesis, tumour metastasis, inflammation, hair follicle development to wrinkle formation. The knowledge gained through this project is expected to provide new insight into the interaction between HSPE and HS/HSPG to reveal new pathways to the development of inhibitors to treat diseases such as cancer and diabetes.Read moreRead less
Rapid process development for the assembly of lightweight metal components. This project aims to develop a new quality monitoring system and inverse method for identifying parameters of welding structures for automotive applications. The outcomes may assist automotive industries in improving process quality management and product performance of weld structures.
Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning progra ....Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning program to select optimal model parameters from which computational algorithms will optimise grinding mill geometries. This research project will deliver substantial improvements to equipment used to process our most valuable exports and result in immediate industry impact.Read moreRead less
Unlocking the potential of quantitative x-ray micro-tomography. This project aims to build on two new ideas in data acquisition and 3D image reconstruction to bring 3D X-ray microscopy or computed tomography (CT) into advanced research use as well as common industrial applications. In the past 10 years, CT has improved our understanding in areas ranging from the evolution of life and osteoporosis to composite material failure and oil recovery. However, the full potential of CT remains unrealised ....Unlocking the potential of quantitative x-ray micro-tomography. This project aims to build on two new ideas in data acquisition and 3D image reconstruction to bring 3D X-ray microscopy or computed tomography (CT) into advanced research use as well as common industrial applications. In the past 10 years, CT has improved our understanding in areas ranging from the evolution of life and osteoporosis to composite material failure and oil recovery. However, the full potential of CT remains unrealised because crucial features in structure and composition are overlooked by simplistic algorithms. Users cannot directly capture quantities of interest such as key compositional variation or defects, and workflows are poorly adapted for large-scale use in industrial fabrication or phenomics. This project aims to address these shortcomings using advanced mathematics and algorithms.Read moreRead less