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Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cos ....Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cost, portable devices for the analysis of exosomes and exosomal miRNA in biological samples. The future development of this technology into diagnostic devices will improve patient outcomes by enabling earlier disease diagnosis and improved monitoring of treatment.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
A spatio-temporal partitioning approach to colloidal flows in porous media. This project aims to develop an efficient multi-scale laboratory-based modelling framework for colloidal suspensions flow in porous media by utilizing recent advances in 3D/4D image-based geometrical/topological analysis. Regional partitioning techniques based on local structural measures are used to observe the penetration/retention of colloids into identified zones. Zone-dependent colloid interaction probabilities for ....A spatio-temporal partitioning approach to colloidal flows in porous media. This project aims to develop an efficient multi-scale laboratory-based modelling framework for colloidal suspensions flow in porous media by utilizing recent advances in 3D/4D image-based geometrical/topological analysis. Regional partitioning techniques based on local structural measures are used to observe the penetration/retention of colloids into identified zones. Zone-dependent colloid interaction probabilities for computational modelling are derived from fundamental relationships. Expected outcomes of this project include a full-scale modelling capability for heterogeneous samples validated by experiment and the extraction of robust model coefficients for newly developed theory for colloid-suspension transport through porous media.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100986
Funder
Australian Research Council
Funding Amount
$401,000.00
Summary
High-performance, portable ion-mobility surface-acoustic wave spectrometry. This project aims to develop a high-performance, cost-effective, palm-portable differential ion mobility spectrometer for universal chemical analysis that operates at atmospheric pressure and consumes minimal power. A significant problem in current analytical chemistry is the lack of rapid and cost-effective methods that can be used in the field for analysis of many different chemical species of environmental and biologi ....High-performance, portable ion-mobility surface-acoustic wave spectrometry. This project aims to develop a high-performance, cost-effective, palm-portable differential ion mobility spectrometer for universal chemical analysis that operates at atmospheric pressure and consumes minimal power. A significant problem in current analytical chemistry is the lack of rapid and cost-effective methods that can be used in the field for analysis of many different chemical species of environmental and biological importance. The project expects to enable the rapid and simultaneous separation and detection of many different ions from complex mixtures with high selectivity and sensitivity. The spectrometer can be implemented in the field for various applications such as atmospheric monitoring, disease diagnosis and chemical weapons detection.Read moreRead less
Cell Membrane Coated Photonic Crystal to study Receptor-Ligand Interactions. The current gold-standard assays for examining receptor-ligand interactions require expensive and costly fluorescent or radioactive labels or proteomics processes. This project aims to develop Artificial Photonic Cells by directly coating photonic crystals with cell membranes. The Artificial Photonic Cells retain the protein receptors in their native cell membrane environment and allow for label-free monitoring of the r ....Cell Membrane Coated Photonic Crystal to study Receptor-Ligand Interactions. The current gold-standard assays for examining receptor-ligand interactions require expensive and costly fluorescent or radioactive labels or proteomics processes. This project aims to develop Artificial Photonic Cells by directly coating photonic crystals with cell membranes. The Artificial Photonic Cells retain the protein receptors in their native cell membrane environment and allow for label-free monitoring of the receptor-ligand interactions using inexpensive miniature spectrometers - radically transforming these assays. This would generate fundamental and applied knowledge of materials sciences, photonic, and biointerfaces for label-free, ultra-sensitive, and selective assays to enable future drug and diagnostics target discovery. Read moreRead less
The role of non-visual cues in regulating perception and skilled movement. This project aims to investigate the impact of non-visual sensory information on what we see and how we move. The project intends to enhance understandings of how information from our senses is combined and how this might inform the development of simulators which are increasingly used as tools for training. Expected outcomes include methods for optimising the design of simulator technologies used in a wide range of medic ....The role of non-visual cues in regulating perception and skilled movement. This project aims to investigate the impact of non-visual sensory information on what we see and how we move. The project intends to enhance understandings of how information from our senses is combined and how this might inform the development of simulators which are increasingly used as tools for training. Expected outcomes include methods for optimising the design of simulator technologies used in a wide range of medical, military and industrial training applications.Read moreRead less
The sensory prerequisites of effective simulator-based pilot training. This Project aims to investigate the use of head-mounted virtual reality systems for training, with specific focus on the aviation industry. The Project expects to improve our understanding of how pilots combine information from their sensory systems in order to successfully operate an aircraft. Expected outcomes include methods for specifying the optimal design of simulators intended to prepare pilots for a specific task, wi ....The sensory prerequisites of effective simulator-based pilot training. This Project aims to investigate the use of head-mounted virtual reality systems for training, with specific focus on the aviation industry. The Project expects to improve our understanding of how pilots combine information from their sensory systems in order to successfully operate an aircraft. Expected outcomes include methods for specifying the optimal design of simulators intended to prepare pilots for a specific task, with the ultimate goal of developing and validating a prototype training device. The outcomes are expected to benefit many areas of pilot training by improving the design and optimising the cost of simulator technologies at a time when the aviation industry is struggling to meet the global demand for new pilots.Read moreRead less
Automating real-time feedback in virtual reality training through data mining. This project will use data mining techniques to develop a real-time feedback system that can be used in virtual reality training environments. This system will not only improve trainees' learning, it will also lead to more efficient use of virtual reality training in industries such as aviation, aerospace, mining, health and emergency services.
Industrial Transformation Training Centres - Grant ID: IC180100024
Funder
Australian Research Council
Funding Amount
$4,000,000.00
Summary
ARC Training Centre for Medical Implant Technologies. The ARC Training Centre for Medical Implant Technologies aims to train a new generation of interdisciplinary engineers and to transform the orthopaedic and maxillofacial implant industry in Australia. In collaboration with industry, universities and hospitals, the Centre will build a dynamic training environment for interdisciplinary engineers to develop and evaluate personalised implants and surgeries. It will create new networks, internatio ....ARC Training Centre for Medical Implant Technologies. The ARC Training Centre for Medical Implant Technologies aims to train a new generation of interdisciplinary engineers and to transform the orthopaedic and maxillofacial implant industry in Australia. In collaboration with industry, universities and hospitals, the Centre will build a dynamic training environment for interdisciplinary engineers to develop and evaluate personalised implants and surgeries. It will create new networks, international collaborations and a generation of industry-ready researchers critical for growing Australia’s industry. The advances in materials and savings in time for procedures will reduce costs.
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Advanced adsorbents for gas separations. Efficient purification of natural gas and separation of similarly-sized molecules in gas mixtures is increasingly important in our drive to develop a more sustainable way of living in an energy-constrained world. This project will develop a new class of adsorbents to deliver a level of separation efficiency much higher than that currently in use.