Next generation core-shell materials based on biomolecular dual-templating. This project aims to discover and develop new methods and knowledge for the precision engineering of next-generation core-shell materials using sustainable biomolecular dual-templating processes. This research builds on a recent breakthrough - emulsion and biomimetic dual-templating technology for facile preparation of silica capsules, and is expected to revolutionise current approaches for making core-shell materials. S ....Next generation core-shell materials based on biomolecular dual-templating. This project aims to discover and develop new methods and knowledge for the precision engineering of next-generation core-shell materials using sustainable biomolecular dual-templating processes. This research builds on a recent breakthrough - emulsion and biomimetic dual-templating technology for facile preparation of silica capsules, and is expected to revolutionise current approaches for making core-shell materials. Significant outcomes are expected to be achieved through building fundamental understanding around this breakthrough, including new concepts for hierarchical nanomaterials based on biomolecular design, new molecular and engineering design rules for core-shell materials, and novel materials for applications in sustained release and delivery systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101147
Funder
Australian Research Council
Funding Amount
$407,600.00
Summary
First-principles design of atomic defects for quantum technologies. This project aims to address the issue of designing and engineering better single-photon sources based on atomic defects in solids, a crucial building block for many quantum technologies. Using advanced first-principles quantum mechanical theories and calculations, the project expects to produce fundamental knowledge of key mechanisms and properties, and to use this to inform the design of new atomic defects for tailored applica ....First-principles design of atomic defects for quantum technologies. This project aims to address the issue of designing and engineering better single-photon sources based on atomic defects in solids, a crucial building block for many quantum technologies. Using advanced first-principles quantum mechanical theories and calculations, the project expects to produce fundamental knowledge of key mechanisms and properties, and to use this to inform the design of new atomic defects for tailored applications as quantum emitters. The expected outcomes, including novel methodologies, will contribute to different research areas, from condensed matter and materials physics to quantum science and technology. This project should provide significant benefits in accelerating quantum technology innovation in Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100876
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Unifying chemical concepts for advanced molecular electronics applications. This project aims to build a physical-organic chemistry framework of transferable molecular descriptors for a relatively new but a rapidly developing area of unimolecular electronics (UE) using advanced computational chemistry tools. Established structure-property relationships will drive the cutting-edge applications of UE in sensing and catalysis and significantly expand our understanding of charge transport involving ....Unifying chemical concepts for advanced molecular electronics applications. This project aims to build a physical-organic chemistry framework of transferable molecular descriptors for a relatively new but a rapidly developing area of unimolecular electronics (UE) using advanced computational chemistry tools. Established structure-property relationships will drive the cutting-edge applications of UE in sensing and catalysis and significantly expand our understanding of charge transport involving free radicals and non-covalent assemblies. Expected outcomes of this project include new design guidelines and candidate molecular architectures for such practical applications as organocatalysis inside molecular junctions, molecular spintronics and molecular sensors for reactive oxygen species and nitroaromatic pollutants.Read moreRead less
Atomic scale precision engineering of cell-material interfaces. This project aims to determine the molecular structure of the interface between novel peptide self-assemblies and cell membranes through x-ray diffraction and molecular simulation. The project will generate knowledge to enable atomic scale engineering of peptide nanomaterials, and exploitation of these materials to modulate cell responses. Expected outcomes include designed peptide nanostructures with specific chemical and physical ....Atomic scale precision engineering of cell-material interfaces. This project aims to determine the molecular structure of the interface between novel peptide self-assemblies and cell membranes through x-ray diffraction and molecular simulation. The project will generate knowledge to enable atomic scale engineering of peptide nanomaterials, and exploitation of these materials to modulate cell responses. Expected outcomes include designed peptide nanostructures with specific chemical and physical cues to promote sustainable growth of desired cells, whilst inhibiting undesirable responses. These outcomes should provide benefits in terms of a practical toolkit for tailoring structure and function of peptide nanostructures and open up a new era in molecular design of smart biomaterials. This easily scalable, new materials platform will contribute to emerging high-value manufacturing industries in Australia.Read moreRead less
Multi-hazard resilient hybrid modular structures. This project aims to develop the next generation of multi-hazard resilient modular construction methods for efficient, affordable and sustainable buildings. New demountable modular connections will be developed and the response of hybrid modular buildings to multiple hazards such as wind, earthquake, blast and impact will be investigated through a combination of experimental, numerical, and analytical studies. The project will develop knowledge o ....Multi-hazard resilient hybrid modular structures. This project aims to develop the next generation of multi-hazard resilient modular construction methods for efficient, affordable and sustainable buildings. New demountable modular connections will be developed and the response of hybrid modular buildings to multiple hazards such as wind, earthquake, blast and impact will be investigated through a combination of experimental, numerical, and analytical studies. The project will develop knowledge of the structural behaviour of hybrid modular buildings, and expects to deliver design methods and robust simplified models for building design purposes. This project will advance construction techniques and practices for resilient hybrid modular buildings.Read moreRead less
Special Research Initiatives - Grant ID: SR200200197
Funder
Australian Research Council
Funding Amount
$183,144.00
Summary
Seeing yourself in Australian digital cultural heritage. To ensure that Australia's museums, galleries and archives reflect what is important to all of us as we move into the digital age, we need to increase accessibility, participation and ownership for all Australians. We therefore aim to discover and test best practices for engaging diverse members of the general public in the creation of digital cultural heritage. Outcomes will include engagement of new visitor groups and increased accessibi ....Seeing yourself in Australian digital cultural heritage. To ensure that Australia's museums, galleries and archives reflect what is important to all of us as we move into the digital age, we need to increase accessibility, participation and ownership for all Australians. We therefore aim to discover and test best practices for engaging diverse members of the general public in the creation of digital cultural heritage. Outcomes will include engagement of new visitor groups and increased accessibility to collections. Cultural institutions will gain access to new digital practices for telling a wide range of lesser-known stories. This will bring cultural and social benefits as well as economic benefits by putting our cultural sector at the forefront of cutting edge international digital practice.Read moreRead less
Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will re ....Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will resolve uncertainties in the underlying phenomena. The expected outcome should support future high quality cell cultures suitable for transplantation therapies.Read moreRead less
Reliable and efficient algorithms for modelling dynamical systems from data. Mathematical and computational models are increasingly important in diverse areas of science and engineering including aircraft and automotive design, robotics, medical sensing, and biology. However, finding an accurate model remains a difficult task. This project will develop new methods to reliably find highly accurate models from recorded data.
New mathematics for multi-extremal optimization and diffusion tensor imaging. This project aims to establish numerically certifiable mathematical theory and methods for semi-algebraic optimisation problems. Numerically certifiable optimisation principles and techniques are vital for the practical use of optimisation technologies because they can be readily implemented by common computer models and algorithms. Yet no such methodologies exist for multi-extremal, semi-algebraic optimisation problem ....New mathematics for multi-extremal optimization and diffusion tensor imaging. This project aims to establish numerically certifiable mathematical theory and methods for semi-algebraic optimisation problems. Numerically certifiable optimisation principles and techniques are vital for the practical use of optimisation technologies because they can be readily implemented by common computer models and algorithms. Yet no such methodologies exist for multi-extremal, semi-algebraic optimisation problems which are common in modern science and medicine. The expected outcomes of this project include enhanced optimisation methods for diffusion tensor imaging, an emerging technology in brain sciences.Read moreRead less
Innovations in sparse optimisation: big data nonsmooth optimisation. This project aims to produce innovative optimisation methods capable of solving a wide range of practical problems that are currently too complex to be solved. Optimisation involving huge data sets is ubiquitous. Sparse optimisation has emerged as a challenging frontier of modern optimisation because it effectively computes an optimal solution with desired low complexity structure so that a resulting solution can be efficiently ....Innovations in sparse optimisation: big data nonsmooth optimisation. This project aims to produce innovative optimisation methods capable of solving a wide range of practical problems that are currently too complex to be solved. Optimisation involving huge data sets is ubiquitous. Sparse optimisation has emerged as a challenging frontier of modern optimisation because it effectively computes an optimal solution with desired low complexity structure so that a resulting solution can be efficiently stored, implemented and utilised, and is robust to the data inexactness. This project aims at developing innovative mathematical techniques and efficient numerical schemes for solving sparse optimisation problems. The intended outcomes will have significant impact on many areas of science, medicine and engineering, where sparse optimisation is used, including cancer radiotherapy optimal planning.Read moreRead less