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Nanotribology and Nanorheometry: A Fundamental Study of the Dynamic Interactions of Particles and Surfaces at the Molecular Level. Friction and deformation occur from the mutual motion and interaction of microscopic particles and surfaces. This research aims to develop new theories and measurement techniques for these non-equilibrium phenomena by combining mathematical analysis and numerical computations with dynamic force measurement, surface modification, and surface characterisation on nanom ....Nanotribology and Nanorheometry: A Fundamental Study of the Dynamic Interactions of Particles and Surfaces at the Molecular Level. Friction and deformation occur from the mutual motion and interaction of microscopic particles and surfaces. This research aims to develop new theories and measurement techniques for these non-equilibrium phenomena by combining mathematical analysis and numerical computations with dynamic force measurement, surface modification, and surface characterisation on nanometre and molecular length scales. These insights and data will be critically important in designing low-friction surfaces that save energy and wear, in developing nanoscopic probes for the mechanical and structural properties of soft polymeric and bio-materials, and in making high performance coatings that control adhesion and particle aggregation in technologically advanced applications.Read moreRead less
Anomalous interfacial air-bubble dynamics: the importance of electrokinetic effects in thin film drainage. Air bubbles play important roles in numerous systems including plastics and paper recycling, water treatment and mineral separation processes, foodstuffs, beverages, cosmetics, cleaning products, fire retardants, and natural systems such as rivers, oceans and biological fluids. The properties and behaviour of these systems and processes depend on how air bubbles in water interact with each ....Anomalous interfacial air-bubble dynamics: the importance of electrokinetic effects in thin film drainage. Air bubbles play important roles in numerous systems including plastics and paper recycling, water treatment and mineral separation processes, foodstuffs, beverages, cosmetics, cleaning products, fire retardants, and natural systems such as rivers, oceans and biological fluids. The properties and behaviour of these systems and processes depend on how air bubbles in water interact with each other, and/or with other materials. Currently our understanding of the bubble interactions is incomplete. The improved understanding gained from this research project will lead to better ability to control the properties of systems and processes such as those listed above.Read moreRead less
Modelling the capillary entrapment phenomena and integrity of geological reservoirs for clean energy, water and waste management technologies. This project will improve our understanding of non-linear flow and fracture phenomena in porous media which is prerequisite for the development of new emerging technologies targeting the reduction of the greenhouse gas emission and development of effective waste and water management solutions including coal gasification, in-situ storage of natural and non ....Modelling the capillary entrapment phenomena and integrity of geological reservoirs for clean energy, water and waste management technologies. This project will improve our understanding of non-linear flow and fracture phenomena in porous media which is prerequisite for the development of new emerging technologies targeting the reduction of the greenhouse gas emission and development of effective waste and water management solutions including coal gasification, in-situ storage of natural and non-hydrocarbon gases, underground disposal of hazardous wastes and vadose zone remediation. The project will result in a dramatic improvement of the predictive tools for traditional ground water management, irrigation and petroleum recovery applications. It has the strength to place Australia in the forefront of these technologies. Read moreRead less
ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this ....ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this Centre is to create innovative mathematical and statistical models that can uncover the knowledge concealed within the size and complexity of these big data sets, with a focus on using the models to deliver insight into problems vital to the Centre's Collaborative Domains: Healthy People, Sustainable Environments and Prosperous Societies.Read moreRead less
Advanced algorithms for statistical mechanical models. Polymer science, percolation theory and models of magnetism are at the forefront of lattice statistical mechanics and condensed matter theory. Numerical techniques to determine the behaviour of model systems in these areas are predominantly Monte Carlo methods, series generation and analysis, or based on partition function zeroes. New algorithms have been developed for all three methods that are vastly more efficient than their predecessors. ....Advanced algorithms for statistical mechanical models. Polymer science, percolation theory and models of magnetism are at the forefront of lattice statistical mechanics and condensed matter theory. Numerical techniques to determine the behaviour of model systems in these areas are predominantly Monte Carlo methods, series generation and analysis, or based on partition function zeroes. New algorithms have been developed for all three methods that are vastly more efficient than their predecessors. Coupled with the availability of dramatically increased computer power, this project takes advantage of a unique position to make dramatic advances in the afore-mentioned research areas. Furthermore, the methods have wider applicability than those mentioned.Read moreRead less
Stress Evaluation with Non-Linear Guided Waves. This project plans to investigate a novel approach for in situ measurement of stress in structures based on an internal resonance phenomenon for nonlinear guided waves. Monitoring the stress level of critical structural components is important to ensure structural safety. The project plans to derive the requirements for this internal resonance and its dependence on stress analytically and verify them experimentally for both simple waveguides and mo ....Stress Evaluation with Non-Linear Guided Waves. This project plans to investigate a novel approach for in situ measurement of stress in structures based on an internal resonance phenomenon for nonlinear guided waves. Monitoring the stress level of critical structural components is important to ensure structural safety. The project plans to derive the requirements for this internal resonance and its dependence on stress analytically and verify them experimentally for both simple waveguides and more realistic structures. The expected outcome is the demonstration of the feasibility of a new inexpensive method for continuous monitoring of applied or thermally-induced stresses, which is of great importance in several engineering contexts, such as modern railway track rails, pipelines or pre-stressed strands in concrete structures.Read moreRead less
Friction and capillary forces. Reducing friction forces is important for improving the performance of moving components in devices, and also useful for relieving people from pains at joints. In ambient conditions, confined liquids have a great influence on friction forces because an attractive force is induced by capillary condensation and adsorption between the surfaces. The correlation between capillary and friction forces will be clarified by force measurements with newly developed surface fo ....Friction and capillary forces. Reducing friction forces is important for improving the performance of moving components in devices, and also useful for relieving people from pains at joints. In ambient conditions, confined liquids have a great influence on friction forces because an attractive force is induced by capillary condensation and adsorption between the surfaces. The correlation between capillary and friction forces will be clarified by force measurements with newly developed surface force apparatuses in various conditions. Theoretical interpretation of influences of molecular layered liquids between the sliding surfaces on frictional behaviour will be also given based on thermodynamics.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668520
Funder
Australian Research Council
Funding Amount
$560,000.00
Summary
South Australian Supercluster Facility. This project will maintain and build on existing excellence and strength in areas ranging from computational chemistry, bioinformatics, and plant functional genomics through to water resources management, fluid dynamics and novel fibres and materials for photonics. It will enable the development of cutting edge computational tools and techniques and will maintain and grow strong international links. It will produce graduates of the highest quality able t ....South Australian Supercluster Facility. This project will maintain and build on existing excellence and strength in areas ranging from computational chemistry, bioinformatics, and plant functional genomics through to water resources management, fluid dynamics and novel fibres and materials for photonics. It will enable the development of cutting edge computational tools and techniques and will maintain and grow strong international links. It will produce graduates of the highest quality able to use advanced computing to solve real-world problems. The training provided and the tools and techniques developed will bring major economic benefits and provide excellent links to Australian industry.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347582
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
South Australian Supercomputing Facility. This grant will fund the construction and installation of a state-of-the-art, heterogeneous supercomputing facility to be named the "South Australian Supercomputing Facility". The facility will be available to all of the State's academic and industrial researchers with advanced high-performance computing needs in a transparent and equitable way. Areas of research excellence to be supported by the facility include but are not limited to: research in comp ....South Australian Supercomputing Facility. This grant will fund the construction and installation of a state-of-the-art, heterogeneous supercomputing facility to be named the "South Australian Supercomputing Facility". The facility will be available to all of the State's academic and industrial researchers with advanced high-performance computing needs in a transparent and equitable way. Areas of research excellence to be supported by the facility include but are not limited to: research in computational physics, computational chemistry, geophysics, computational fluid dynamics, oil and water resource modelling, plant science, bio-informatics, space-environment research, and high-performance, parallel, and grid-based computing.Read moreRead less
Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the mat ....Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the matching of the clusters across the entities in the class. The project will use a statistical approach to automatically match the clusters, since the overall mixture model provides a template for the class. It will provide a basis for discriminating between different classes in addition to the identification of atypical data points within a sample and of anomalous samples within a class. Key applications include biological image analysis and the analysis of data in flow cytometry which is one of the fundamental research tools for the life scientist.Read moreRead less