Topological stability from spectral analysis. The aim is to use mathematical scattering theory to find and study new topological features of the spectra of linear transformations on Hilbert space. The significance derives from mathematical models of low temperature conducting quantum materials. These have revealed `topological phases of matter' that are stable with respect to a range of variations in the parameters that determine the system. The stability is desired for applications to quantum ....Topological stability from spectral analysis. The aim is to use mathematical scattering theory to find and study new topological features of the spectra of linear transformations on Hilbert space. The significance derives from mathematical models of low temperature conducting quantum materials. These have revealed `topological phases of matter' that are stable with respect to a range of variations in the parameters that determine the system. The stability is desired for applications to quantum devices. Our results will give topological stability from the scattering spectrum, a feature not previously seen. The benefits stem from new results in mathematical scattering theory with a primary novelty being the analysis of ``zero energy resonances'' in mathematical models of graphene.Read moreRead less
A multiplex microscope platform to define molecular events in fluid systems. This project aims to develop a novel microscopy platform that will enable the visualisation and quantification of molecular events occurring under fluid shear stress. The project will generate new knowledge in platelet biology that will allow characterisation and prediction of key molecular and morphological changes occurring across a blood thrombus under flowing conditions as found in the blood vessels. These new tools ....A multiplex microscope platform to define molecular events in fluid systems. This project aims to develop a novel microscopy platform that will enable the visualisation and quantification of molecular events occurring under fluid shear stress. The project will generate new knowledge in platelet biology that will allow characterisation and prediction of key molecular and morphological changes occurring across a blood thrombus under flowing conditions as found in the blood vessels. These new tools and the imaging platform will have applications for researchers wishing to visualise small and rapid molecular events in four dimensions (length, width, height and across time) under fluid shear stress, which is applicable across a range of industries. The project expects to deliver the next generation of intravital microscopes that can visualise and quantify events in a challenging flow environment.Read moreRead less
Integrin Activation by Fluid Flow Disturbance: Mechanobiology Approaches. Understanding how cells can sense and respond to mechanical environment such as dynamic blood flow represents a fundamental question in the emerging field of mechanobiology. This project develops new biomechanical engineering approaches to determine the critical interrelationships among fluid flow disturbance, platelet clotting and the mechano-sensitive signal transduction mechanisms of integrin receptor – the most importa ....Integrin Activation by Fluid Flow Disturbance: Mechanobiology Approaches. Understanding how cells can sense and respond to mechanical environment such as dynamic blood flow represents a fundamental question in the emerging field of mechanobiology. This project develops new biomechanical engineering approaches to determine the critical interrelationships among fluid flow disturbance, platelet clotting and the mechano-sensitive signal transduction mechanisms of integrin receptor – the most important mechano-sensor implicated in cell adhesion, migration, growth and survival. Specifically, it integrates nationally unique cutting-edge techniques including single-molecule force probe, microparticle image velocimetry, microfluidics and molecular dynamics simulation, super resolution and 3D volumetric imaging modalities.Read moreRead less
5D Imaging Flow Cytometry for in vivo Quantification of Biological Fluids. Rapid and accurate quantification of live biological fluid properties at sub-cellular and molecular levels forms the bedrock of biofluidic sciences. Majority of the biofluidic devices rely on quantifying biological fluids after its removal from the body in an in vitro Flow Cytometer (FC). FC faces many caveats i.e. biological degradation and small volume etc. In this project, we shall engineer the first in vivo 5D imaging ....5D Imaging Flow Cytometry for in vivo Quantification of Biological Fluids. Rapid and accurate quantification of live biological fluid properties at sub-cellular and molecular levels forms the bedrock of biofluidic sciences. Majority of the biofluidic devices rely on quantifying biological fluids after its removal from the body in an in vitro Flow Cytometer (FC). FC faces many caveats i.e. biological degradation and small volume etc. In this project, we shall engineer the first in vivo 5D imaging flow cytometer (5D IFC) capable of continuous assessment of potentially entire blood volume in a living mice without removing fluid out of the body. The project represents a major advancement beyond any existing flow cytometer and overcome the engineering limits of state-of-art laser scanning imaging devices.Read moreRead less
Topology optimisation of mechanical metamaterials with additive manufacture. Metamaterials have sparked a surge of interest with potential applications as diverse as biomedical implants, ballistic barriers, and acoustic cloaks. This project aims to develop topology optimisation technology, with the marriage of additive manufacturing for computational design of mechanical metamaterials of pentamode, which are a new class of artificial composites engineered to have elastic properties not easily fo ....Topology optimisation of mechanical metamaterials with additive manufacture. Metamaterials have sparked a surge of interest with potential applications as diverse as biomedical implants, ballistic barriers, and acoustic cloaks. This project aims to develop topology optimisation technology, with the marriage of additive manufacturing for computational design of mechanical metamaterials of pentamode, which are a new class of artificial composites engineered to have elastic properties not easily found in nature. This approach aims to create novel metamaterials to have extraordinary properties and complex geometries that can be easily fabricated. Potential applications may include defense, vehicles, biomedicine, marine uses, energy and cloaks.Read moreRead less
Entrainment and Mixing in Turbulent Negatively Buoyant Jets and Fountains. The project intends to develop tools to accurate predict fountain flows. Volcanic eruptions, building ventilation and brine discharge from desalination plants are all examples of turbulent fountains and negatively buoyant jets. The project aims to conduct an investigation into the turbulent structure of fountains and negatively buoyant jets using numerical simulation and laboratory experiments, and to assess the accuracy ....Entrainment and Mixing in Turbulent Negatively Buoyant Jets and Fountains. The project intends to develop tools to accurate predict fountain flows. Volcanic eruptions, building ventilation and brine discharge from desalination plants are all examples of turbulent fountains and negatively buoyant jets. The project aims to conduct an investigation into the turbulent structure of fountains and negatively buoyant jets using numerical simulation and laboratory experiments, and to assess the accuracy of the commonly used integral models and test the effect of the use of more accurate entrainment relations. This may have a range of applications – enabling better prediction of environmental impacts, reduction of the adverse effects of the discharge of pollutants, and reduction in energy consumption in building ventilation and other industrial applications.Read moreRead less
Baseline-free Methods for Early Damage Diagnosis using Nonlinear Ultrasound. To address the significant limitation of existing non-destructive evaluation techniques in detecting and characterising early damage, this project aims to discover the physical nature of self-generated nonlinear waves by structural damage and to explore its potential for an entirely new class of non-destructive evaluation and structural health monitoring techniques. Major applications are expected to include a baseline- ....Baseline-free Methods for Early Damage Diagnosis using Nonlinear Ultrasound. To address the significant limitation of existing non-destructive evaluation techniques in detecting and characterising early damage, this project aims to discover the physical nature of self-generated nonlinear waves by structural damage and to explore its potential for an entirely new class of non-destructive evaluation and structural health monitoring techniques. Major applications are expected to include a baseline-free structural health monitoring technique capable of detecting and quantifying barely-visible impact damage in advanced composite materials, non-destructive evaluation of structures made by additive manufacturing, and detection of hard-to-inspect locations in unitised structures.Read moreRead less
New methods in spectral geometry. This project aims to use methods from mathematical scattering theory to resolve problems in the spectral analysis and index theory of differential operators. Both areas underpin the theoretical understanding of physical materials at micro length scales where quantum phenomena dominate. The project will develop new mathematical results in spectral analysis and geometry, and apply its results to theoretical models of quantum phenomena whose spectral properties are ....New methods in spectral geometry. This project aims to use methods from mathematical scattering theory to resolve problems in the spectral analysis and index theory of differential operators. Both areas underpin the theoretical understanding of physical materials at micro length scales where quantum phenomena dominate. The project will develop new mathematical results in spectral analysis and geometry, and apply its results to theoretical models of quantum phenomena whose spectral properties are at the limit of the range of mathematical techniques. Solving these problems is expected to influence non-commutative analysis.Read moreRead less
Thermal stratification, overturning and mixing in riverine environments. Thermal stratification is common in Australia's rivers due to our hot, drought-prone climate and high human demands relative to available supply, which has led to a significant reduction in flows relative to natural levels. Thermal stratification inhibits mixing, creating stagnant conditions characterised by low oxygen levels and increased concentrations of contaminants, leading to algal blooms, fish kills and systemic dama ....Thermal stratification, overturning and mixing in riverine environments. Thermal stratification is common in Australia's rivers due to our hot, drought-prone climate and high human demands relative to available supply, which has led to a significant reduction in flows relative to natural levels. Thermal stratification inhibits mixing, creating stagnant conditions characterised by low oxygen levels and increased concentrations of contaminants, leading to algal blooms, fish kills and systemic damage to ecosystems. The aim of this project is to develop predictive models for the effects of physical processes such as night-time cooling, wind, turbulence and currents on riverine thermal stratification. This is expected to enable a more accurate determination of the flow rates required to maintain the health of our river systems.Read moreRead less
X-ray imaging and magnetic resonance approach for enhanced oil recovery. This project aims to develop an efficient multi-scale modelling capability to quantify the effect of two-phase fluid flow within porous material by modelling rock wettability heterogeneity and alteration on two-phase flow performance for heterogeneous rock. Super-resolution methods combined with a deep learning approach will be used to determine a digital representation of reservoir rock, achieving an unprecedented combinat ....X-ray imaging and magnetic resonance approach for enhanced oil recovery. This project aims to develop an efficient multi-scale modelling capability to quantify the effect of two-phase fluid flow within porous material by modelling rock wettability heterogeneity and alteration on two-phase flow performance for heterogeneous rock. Super-resolution methods combined with a deep learning approach will be used to determine a digital representation of reservoir rock, achieving an unprecedented combination of resolution necessary to resolve small-scale fluid connectivity and field of view required to capture heterogeneity. The project expects to develop a workflow to populate a high-resolution model with wettability parameters by combining micro-CT imaging with nuclear magnetic resonance measurements. This improved understanding should provide significant benefits by enhancing our capability to optimise enhanced oil and gas recovery programs.Read moreRead less