Discovery Early Career Researcher Award - Grant ID: DE130100488
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Cellular dynamics of nanoengineered particles. Nanotechnology has the capacity to drive a new wave of biological innovation through engineering materials at the nanoscale. This project will advance understanding of how nanoengineered materials interact with biological systems to enable the development of nanomaterials for future translational research.
Efficient learning from multiple brain imaging data sets. Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorders because they minimise the modelling assumptions on the underlying structure of the problem. Analysis of multiple brain imaging data sets, either of the same modality as in multitask or multisubject data sets or from different modalities as in the case of data fusion, is a challenging problem in bi ....Efficient learning from multiple brain imaging data sets. Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorders because they minimise the modelling assumptions on the underlying structure of the problem. Analysis of multiple brain imaging data sets, either of the same modality as in multitask or multisubject data sets or from different modalities as in the case of data fusion, is a challenging problem in biomedical image analysis. This project will lead to fundamental contributions as well as techniques that address both problems: extraction of relevant features information from multisubject brain imaging data sets of the same modality or from fusion of brain imaging data sets collected from multimodalities.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100084
Funder
Australian Research Council
Funding Amount
$269,020.00
Summary
Flexible Flame Aerosol Synthesis Technology. Funding is requested to establish a world-leading fabrication facility for nanostructured materials via flame synthesis. This is a scalable fabrication route used for industrial production of most nanoparticle commodities. The aim is to advance current capabilities by providing control over the reaction environment and flame reaction sources. This will extend the range of feasible materials from the current metal oxides to a broad family of nitrides, ....Flexible Flame Aerosol Synthesis Technology. Funding is requested to establish a world-leading fabrication facility for nanostructured materials via flame synthesis. This is a scalable fabrication route used for industrial production of most nanoparticle commodities. The aim is to advance current capabilities by providing control over the reaction environment and flame reaction sources. This will extend the range of feasible materials from the current metal oxides to a broad family of nitrides, sulphides, and metal-organic frameworks, enabling the engineering of electrocatalysts, optoelectronic- and bio-materials. Benefits are expected in terms of fundamental and applied knowledge generation, with impact to the Australian industry sectors of Advanced Manufacturing, Energy and Health.Read moreRead less
Fast stimuli-responsive polymer hydrogels as a new class of draw agent for forward osmosis desalination. The ability to extract fresh water from saline water can be important in areas such as desalination and other industrial applications. In this project new materials will be developed to perform this operation at a much lower energy cost than similar processes, whilst also improving the purity of the separated water.
Discovery Early Career Researcher Award - Grant ID: DE210101623
Funder
Australian Research Council
Funding Amount
$456,450.00
Summary
High-Fidelity Motion Simulator using Sickness-Free Motion Cueing Algorithm. This project aims to address the key deficiencies of driving and flight simulators by developing novel human perception-based motion cueing algorithms (MCAs) and leveraging advanced artificial intelligence techniques. Despite widespread applications, existing motion simulators fail to deliver the most accurate human sensation to the user. This failure is mainly attributable to the inefficiency and inflexibility of MCAs u ....High-Fidelity Motion Simulator using Sickness-Free Motion Cueing Algorithm. This project aims to address the key deficiencies of driving and flight simulators by developing novel human perception-based motion cueing algorithms (MCAs) and leveraging advanced artificial intelligence techniques. Despite widespread applications, existing motion simulators fail to deliver the most accurate human sensation to the user. This failure is mainly attributable to the inefficiency and inflexibility of MCAs used by simulators. It is expected that this project will significantly increase simulator motion fidelity and eliminate motion sickness. This will have substantial benefits to Australian research communities and industries, particularly where simulators are used for training, performance evaluation and virtual prototyping.Read moreRead less
Modelling and manipulating brain network dynamics across the lifespan. This project aims to integrate advanced computational modelling and state-of-the-art recording techniques to generate new knowledge on the neural basis of ageing. People are said to grow wiser as they grow older, though more likely they will experience cognitive slowing and reduced memory functions that interfere with their daily lives. The anticipated goal of the project is to develop techniques to predict the personalised e ....Modelling and manipulating brain network dynamics across the lifespan. This project aims to integrate advanced computational modelling and state-of-the-art recording techniques to generate new knowledge on the neural basis of ageing. People are said to grow wiser as they grow older, though more likely they will experience cognitive slowing and reduced memory functions that interfere with their daily lives. The anticipated goal of the project is to develop techniques to predict the personalised effects of brain stimulation on the ageing brain. The outcomes of this research could significantly improve understanding of brain ageing, and advance the fields of systems neuroscience, network science, and brain stimulation.Read moreRead less
Surface forces and confinement of anisotropic particles. Advanced materials assembled from engineered particles found in next generation solar cells, nano-electronics, photonic materials, and nano-sensors have experienced an explosion in research interest over the past decade. This is in large part due to improving techniques for the synthesis of anisotropy in particle shape to form rods, plates, iso-hedra and nano-prisms and material properties such as janus particles used for self-assembly. Ho ....Surface forces and confinement of anisotropic particles. Advanced materials assembled from engineered particles found in next generation solar cells, nano-electronics, photonic materials, and nano-sensors have experienced an explosion in research interest over the past decade. This is in large part due to improving techniques for the synthesis of anisotropy in particle shape to form rods, plates, iso-hedra and nano-prisms and material properties such as janus particles used for self-assembly. However, there is a lack of methods to measure the interactions that control the assembly process. This project aims to develop a novel method to quantify the particle-particle and particle-surface interactions for anisotropic particles to enable predictive approaches to particle assembly for advanced materials.Read moreRead less
Unravelling the rules on particle assembly into superstructures. Nanoparticle superstructures are assemblies of particles that exhibit high surface-to-volume ratio, periodicity and large packing density useful for drug delivery, photonics, sensing and energy storage. To realise the potential of these materials requires a predicative understanding of how interparticle forces control superstructure formation. This project will create a one-of-its-kind multiscale simulation framework to tailor the ....Unravelling the rules on particle assembly into superstructures. Nanoparticle superstructures are assemblies of particles that exhibit high surface-to-volume ratio, periodicity and large packing density useful for drug delivery, photonics, sensing and energy storage. To realise the potential of these materials requires a predicative understanding of how interparticle forces control superstructure formation. This project will create a one-of-its-kind multiscale simulation framework to tailor the assembly of anisotropic engineered nanoparticles into superstructures in liquids. Nanoparticle assembly simulation will be validated with a novel particle tracking microscopy in solution-based studies. This will enable the design and large-scale production of nanomaterials with controlled properties and functions.Read moreRead less