Corrosion of heat resisting alloys in steam/hydrogen-rich environment . Hydrogen is a clean fuel for energy future. Its production and utilisation unavoidably involve water vapour and hydrogen at high temperature which is however corrosive to materials used in the system. This project aims to investigate corrosion behaviour of heat resistant alloys in the presence of both hydrogen and water vapour, mechanisms of water transport in oxide scale, and the effect of hydrogen on water vapour corrosion ....Corrosion of heat resisting alloys in steam/hydrogen-rich environment . Hydrogen is a clean fuel for energy future. Its production and utilisation unavoidably involve water vapour and hydrogen at high temperature which is however corrosive to materials used in the system. This project aims to investigate corrosion behaviour of heat resistant alloys in the presence of both hydrogen and water vapour, mechanisms of water transport in oxide scale, and the effect of hydrogen on water vapour corrosion. Alloying effects on corrosion rates will be defined and methods of slowing or preventing water vapour corrosion in the presence of hydrogen will be devised. The results will provide a basis for improved design/selection of heat resisting alloys for hydrogen production and hydrogen utilisation industries.Read moreRead less
Targeting TGF-beta proteins to control animal reproduction. This project aims to develop a suite of novel biologics to control fertility in female mammals. This project expects to demonstrate that targeting a single class of ovarian proteins will enhance or inhibit egg production. The expected outcomes of this project are to (1) transform the breeding of livestock animals, which should provide significant benefits to the agricultural industry, through increased herd/flock sizes, and (2) provide ....Targeting TGF-beta proteins to control animal reproduction. This project aims to develop a suite of novel biologics to control fertility in female mammals. This project expects to demonstrate that targeting a single class of ovarian proteins will enhance or inhibit egg production. The expected outcomes of this project are to (1) transform the breeding of livestock animals, which should provide significant benefits to the agricultural industry, through increased herd/flock sizes, and (2) provide a non-surgical method of contraception in companion/feral species, which should address the large unmet need for fertility control in these animals.
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Engineering better sprays for leaf coating: from drop impact to retention. This proposal aims to understand the performance of a unique rheological modifier that can enable an order of magnitude increase in coating efficiency for aerosol sprays while not affecting the quality of droplet formation during spraying. The effect occurs via a dispersed network of fibrous particles in water, providing a weak but useful ability to coat surfaces by responsively adjusting its structure. The material is ex ....Engineering better sprays for leaf coating: from drop impact to retention. This proposal aims to understand the performance of a unique rheological modifier that can enable an order of magnitude increase in coating efficiency for aerosol sprays while not affecting the quality of droplet formation during spraying. The effect occurs via a dispersed network of fibrous particles in water, providing a weak but useful ability to coat surfaces by responsively adjusting its structure. The material is expected to enable a broad array of applications, from agricultural treatments to nasal sprays, by exhibiting responsive behaviour at concentrations much lower than conventional modifiers require. The project will study the responsiveness of the system in single droplet, spray, and coating form as well as an active delivery system.Read moreRead less
Proteomic and genetic analysis of subfertile bull spermatozoa. This project aims to identify protein changes on spermatozoa that are highly correlated with the fertility status of bulls. Bull fertility has approached an all-time low as breeding practice has focused predominately on milk production and beef tenderness. This project aims to understand the genetic causes that underpin bull and cattle infertility, and investigate better methods to predict the fertility status of bulls. This project ....Proteomic and genetic analysis of subfertile bull spermatozoa. This project aims to identify protein changes on spermatozoa that are highly correlated with the fertility status of bulls. Bull fertility has approached an all-time low as breeding practice has focused predominately on milk production and beef tenderness. This project aims to understand the genetic causes that underpin bull and cattle infertility, and investigate better methods to predict the fertility status of bulls. This project expects to contribute to better clinical management of cattle. This information can then be used for the development of a better diagnostic assay for both the dairy and beef industry.Read moreRead less
Beyond pineal melatonin: sensing the seasons without the eye. The project will identify the causal connection between seasonal breeding in animals and a recently recognised brain biochemical pathway by applying experimental treatments mimicking seasonal environmental changes in a mutant and wild-type nematode worm model. Through experimentation we will identify useful biological targets that might be manipulated to enhance control of seasonal breeding in managed animals. With better control of r ....Beyond pineal melatonin: sensing the seasons without the eye. The project will identify the causal connection between seasonal breeding in animals and a recently recognised brain biochemical pathway by applying experimental treatments mimicking seasonal environmental changes in a mutant and wild-type nematode worm model. Through experimentation we will identify useful biological targets that might be manipulated to enhance control of seasonal breeding in managed animals. With better control of reproductive output in animals, farmers and managers can increase and/or decrease reproductive output as needed in managed species including livestock and vertebrate pests. This will enhance the use of precious land resources and minimize ecological damage from overbreeding.Read moreRead less
Cold catalysis for water splitting. This project aims to develop photocatalysts via AC magnetic field through nanoscale heating for efficient H2 generation. This project is to introduce cold catalysis concept, which heats catalysts only but not solution, thus called cold catalysis, in the area of production of renewable energy. Expected outcome is the creation of clean and low cost catalysts to effectively harvest the chemical energy from the sun via splitting of water into H2 and O2 without cau ....Cold catalysis for water splitting. This project aims to develop photocatalysts via AC magnetic field through nanoscale heating for efficient H2 generation. This project is to introduce cold catalysis concept, which heats catalysts only but not solution, thus called cold catalysis, in the area of production of renewable energy. Expected outcome is the creation of clean and low cost catalysts to effectively harvest the chemical energy from the sun via splitting of water into H2 and O2 without causing any environmental damage. This unique technology will also help to address clean energy generation, which is in line with H2 economy plan by Australia government, and provide opportunities for new industries that will benefit Australian economy.Read moreRead less
Accelerated discovery of solar hydrogen photocatalysts. Solar photocatalysis is recognised as an environmentally sustainable process for production of Hydrogen. The adaptation of sophisticated machine learning to innovate solar photocatalysis hydrogen evolution is under question. We aim to harvest scientific principles and integrate with robust protocols to obtain a machine-augmented rational workflow guiding and accelerating discovery of optimal catalysts for solar hydrogen production – solving ....Accelerated discovery of solar hydrogen photocatalysts. Solar photocatalysis is recognised as an environmentally sustainable process for production of Hydrogen. The adaptation of sophisticated machine learning to innovate solar photocatalysis hydrogen evolution is under question. We aim to harvest scientific principles and integrate with robust protocols to obtain a machine-augmented rational workflow guiding and accelerating discovery of optimal catalysts for solar hydrogen production – solving a major bottleneck. The project will contribute largely to Australia’s renewable energy sector; fundamental knowledge-based cognitive photocatalysis platform would be conveniently scalable and transferable to mechanistically relevant processes, such as ammonia synthesis and greenhouse gas reduction.Read moreRead less
Faster interfacial electron transfer: the effect of molecule shape and size. This project aims to explore the effect of shape and size of pi-conjugated molecules on interfacial electron transfer reactions, which are fundamentally important in all applications of photo-electrochemical conversion and storage of energy. By making two series of pi-conjugated molecules and determining electron transfer rates using a combination of transient spectroscopies and computational chemistry, the project expe ....Faster interfacial electron transfer: the effect of molecule shape and size. This project aims to explore the effect of shape and size of pi-conjugated molecules on interfacial electron transfer reactions, which are fundamentally important in all applications of photo-electrochemical conversion and storage of energy. By making two series of pi-conjugated molecules and determining electron transfer rates using a combination of transient spectroscopies and computational chemistry, the project expects to generate new design principles for molecules with the potential to significantly improve the efficiencies of solar energy conversion and photo-catalytic processes. The new materials and findings will be exploited in a novel redox-mediated water splitting device as a practical outcome with potential end user benefits.Read moreRead less
Speech recognition adaptation for low resource populations. Automatic speech recognition is an essential attribute of mobile devices and consumer electronics. Unfortunately, as these systems are trained with adult speech, they perform poorly when used by children and people with speaking difficulties. The lack of available training speech from these groups makes developing models for them difficult. We will investigate efficient model adaptation methods that use minimal training data to adapt ex ....Speech recognition adaptation for low resource populations. Automatic speech recognition is an essential attribute of mobile devices and consumer electronics. Unfortunately, as these systems are trained with adult speech, they perform poorly when used by children and people with speaking difficulties. The lack of available training speech from these groups makes developing models for them difficult. We will investigate efficient model adaptation methods that use minimal training data to adapt existing adult speech recognition models for use with children and people with speaking difficulties. The intended outcomes will improve access to automatic speech recognition systems for Australians whose communication with speech-controlled environmental and educational devices is currently restricted.Read moreRead less
Can eco-evolutionary theories explain outcomes of microbiome coalescence . Environmental microbial communities are among the most abundant and diverse natural communities, responsible for many ecologically and economically important ecosystem functions, including primary productivity and climate regulation. This project aims to identify the biotic and abiotic factors that regulate community and functional outcomes of microbiome coalescence (the mixing of two different communities) caused by natu ....Can eco-evolutionary theories explain outcomes of microbiome coalescence . Environmental microbial communities are among the most abundant and diverse natural communities, responsible for many ecologically and economically important ecosystem functions, including primary productivity and climate regulation. This project aims to identify the biotic and abiotic factors that regulate community and functional outcomes of microbiome coalescence (the mixing of two different communities) caused by natural and anthropogenic activities. The outcomes will provide a unifying ecological framework to predict variation in microbiomes across different scales, ecosystem types and disturbances, and will generate critical knowledge for the development of effective microbiome products, a rapidly growing industryRead moreRead less