Advanced plant breeding and food manufacturing for healthier bread. This project aims to generate bread containing high amounts of biologically available iron through targeted manipulation of plant-derived phytonutrients at several points along the wheat-to-bread supply chain. The project expects to generate new knowledge for developing healthier bread and address consumer demands for value-added food products. Anticipated outcomes are novel plant breeding and food manufacturing techniques that ....Advanced plant breeding and food manufacturing for healthier bread. This project aims to generate bread containing high amounts of biologically available iron through targeted manipulation of plant-derived phytonutrients at several points along the wheat-to-bread supply chain. The project expects to generate new knowledge for developing healthier bread and address consumer demands for value-added food products. Anticipated outcomes are novel plant breeding and food manufacturing techniques that enhance the nutritional composition of wheat grain and bread making products, resulting in higher-value agricultural commodities and breads. The project should benefit bread retailers and crop growers involved in Australia’s $4.7 billion bread market and reduce the environmental impacts of bread production.Read moreRead less
Gravity and quantum-limited measurements with a fundamental minimum length. This project aims to investigate the effects of a fundamental minimum length on the nature of gravity and on how accurately we can make measurements in our world. The key challenge is to combine our best theories of fundamental physics to model what happens at ultra-short distances. This project will generate new knowledge at this interface by using a novel approach inspired by information theory. The expected outcomes a ....Gravity and quantum-limited measurements with a fundamental minimum length. This project aims to investigate the effects of a fundamental minimum length on the nature of gravity and on how accurately we can make measurements in our world. The key challenge is to combine our best theories of fundamental physics to model what happens at ultra-short distances. This project will generate new knowledge at this interface by using a novel approach inspired by information theory. The expected outcomes are new connections between fundamental limitations on measurements, the nature of gravitation, and ultra-small-scale quantum physics. The benefit of this work is breaking the logjam in answering the most important open question in all of physics: how to unite quantum theory and gravitation.Read moreRead less
Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques ....Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques that use large amounts of unlabeled data to enhance performance. Our design takes advantage of additional information available for marine imagery such as geolocation and remote sensing context. We will explore how these representations can guide additional sampling and improve performance in classification tasks.Read moreRead less
Proving the Landau-Ginzburg/Conformal Field Theory correspondence. This project aims to provide the first precise mathematical statement and geometric proof of the Landau-Ginzburg/Conformal Field Theory (LG/CFT) correspondence for simple singularities, a physically motivated principle that relates hypersurface singularities in algebraic geometry to representations of vertex algebras in conformal field theory. The formalism developed here is expected to clarify the nature of the correspondence an ....Proving the Landau-Ginzburg/Conformal Field Theory correspondence. This project aims to provide the first precise mathematical statement and geometric proof of the Landau-Ginzburg/Conformal Field Theory (LG/CFT) correspondence for simple singularities, a physically motivated principle that relates hypersurface singularities in algebraic geometry to representations of vertex algebras in conformal field theory. The formalism developed here is expected to clarify the nature of the correspondence and lead directly to generalisations beyond simple singularities, as well as provide a dictionary to translate methods of CFT into singularity theory and vice versa. These results will further cement Australia's reputation as an international leader in pure mathematics and mathematical physics research.Read moreRead less
Classical and quantum invariants of low-dimensional manifolds. This project aims to advance our understanding of knots and 3-dimensional spaces, which arise naturally in fields as diverse as physics, computer graphics, chemistry and biology. Recent ideas from quantum field theory link physics to topology in dimensions 3 and 4, leading to powerful invariants of knots and 3-dimensional manifolds that include the Jones polynomial and the 3D-index. This project aims to resolve key questions relating ....Classical and quantum invariants of low-dimensional manifolds. This project aims to advance our understanding of knots and 3-dimensional spaces, which arise naturally in fields as diverse as physics, computer graphics, chemistry and biology. Recent ideas from quantum field theory link physics to topology in dimensions 3 and 4, leading to powerful invariants of knots and 3-dimensional manifolds that include the Jones polynomial and the 3D-index. This project aims to resolve key questions relating these quantum invariants to classical topology and geometry. The project will have a major impact in low-dimensional topology, and lead to deep and unexpected connections between mathematics and mathematical physics.Read moreRead less
Tailoring smart film for energy efficient protected cropping. Cooling cost represents a major running cost for greenhouse, preventing the wide adoption of highly beneficial protected cropping technology. This project aims at solving this critical issue by developing a world-first tailored smart film that can simultaneously reject solar heat, cool down the greenhouse and maximise the yields of crops. This is made possible by advanced spectral engineering and light management with frontier nanostr ....Tailoring smart film for energy efficient protected cropping. Cooling cost represents a major running cost for greenhouse, preventing the wide adoption of highly beneficial protected cropping technology. This project aims at solving this critical issue by developing a world-first tailored smart film that can simultaneously reject solar heat, cool down the greenhouse and maximise the yields of crops. This is made possible by advanced spectral engineering and light management with frontier nanostructures combined with a scalable and low cost manufacturing process. Deliverables of the project include game-changing energy efficient solutions for protected cropping and marketable smart films readily integratable with existing greenhouse for dramatic energy saving and immediate economic and social benefits.Read moreRead less
Mathematical and computational models for agrichemical retention on plants. Mathematical and computational models for agrichemical retention on plants. This project aims to build interactive software that simulates agrichemical spraying for multiple virtual plants reconstructed from scanned data. Mathematical modelling and computer simulation could offer an alternative to expensive experimental programs for agrichemical spraying of plants. This project will use contemporary fluid mechanics to bu ....Mathematical and computational models for agrichemical retention on plants. Mathematical and computational models for agrichemical retention on plants. This project aims to build interactive software that simulates agrichemical spraying for multiple virtual plants reconstructed from scanned data. Mathematical modelling and computer simulation could offer an alternative to expensive experimental programs for agrichemical spraying of plants. This project will use contemporary fluid mechanics to build practical mathematical models for droplet impaction, spreading and evaporation on leaf surfaces, and experimentally calibrate and validate the models. The software is expected to drive the development of agrichemical products that increase retention, minimise environmental impacts, and reduce costs for end-users.Read moreRead less
Developing a novel carbon negative fertiliser . Food security is vital to support our growing population. However, our increasing reliance on intensive farming systems necessitates increased fertiliser use, leading to increased water pollution and soil degradation - threatening both the Australian environment and food security. Increasing carbon storage capacity by soil and decreasing fertiliser use are two of the primary pathways for restoring the bio-support capacity of soils and reducing farm ....Developing a novel carbon negative fertiliser . Food security is vital to support our growing population. However, our increasing reliance on intensive farming systems necessitates increased fertiliser use, leading to increased water pollution and soil degradation - threatening both the Australian environment and food security. Increasing carbon storage capacity by soil and decreasing fertiliser use are two of the primary pathways for restoring the bio-support capacity of soils and reducing farming footprints. This innovative and first-of-its-kind project aims to develop a cost-effective, carbon negative fertiliser that reduces fertiliser inputs and increases soil carbon storageRead moreRead less
Industrial biotechnology for the manufacture of alkaloid pharmaceuticals. Drugs that treat opioid dependence and overdose are increasingly needed but their manufacture is difficult, inefficient and expensive. This project aims to develop enzymatic N-demethylation as a simpler and more sustainable approach to the manufacture and modification of opioid antagonists, alkaloids and other drug targets. It will increase our understanding of enzymatic N-demethylation and address engineering and biotechn ....Industrial biotechnology for the manufacture of alkaloid pharmaceuticals. Drugs that treat opioid dependence and overdose are increasingly needed but their manufacture is difficult, inefficient and expensive. This project aims to develop enzymatic N-demethylation as a simpler and more sustainable approach to the manufacture and modification of opioid antagonists, alkaloids and other drug targets. It will increase our understanding of enzymatic N-demethylation and address engineering and biotechnology challenges to improve yield and product isolation and concentration. Improvements in drug manufacturing processes will assist drug affected communities and industry will benefit from value adding, greater market share and flexibility, increased innovation and de-risked processes and new products. Read moreRead less