Developing innovative concrete composites by upscaling material properties. This project aims to develop an upscaling process to correlate micro-nano properties of engineering materials to their comprehensive physicochemical properties based on systematic mechanical and statistical analysis approaches and nanoindentation technology. The process will enable assessing material mechanical and viscoelastic properties at a microscale level thus will generate a new knowledge in structural engineering ....Developing innovative concrete composites by upscaling material properties. This project aims to develop an upscaling process to correlate micro-nano properties of engineering materials to their comprehensive physicochemical properties based on systematic mechanical and statistical analysis approaches and nanoindentation technology. The process will enable assessing material mechanical and viscoelastic properties at a microscale level thus will generate a new knowledge in structural engineering discipline including health monitoring, assessment of existing structures, historical buildings, and strengthening and repairing materials in structures. The outcomes are a multiscale link model for upscaling material properties and a development of innovative reinforced concrete composites which are cost-effective and efficient.Read moreRead less
Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more princi ....Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more principled and comprehensive computational model of reasoning in both adults and children. The project should provide significant benefits by helping to resolve long-standing debates about how humans reason complex arguments relevant to everyday lives and guide development of more effective methods for teaching reasoning.Read moreRead less
Shifting the trend in radical battery research . The project aims to address a growing problem of increasing energy consumption by storing intermittent energy from the sun in affordable and efficient flow batteries. The project expects to generate new knowledge in the areas of materials science and battery research by using innovative theoretical chemistry approaches to studying electrochemical properties of nitroxide radicals in ionic media. The project aims to develop radical organic flow batt ....Shifting the trend in radical battery research . The project aims to address a growing problem of increasing energy consumption by storing intermittent energy from the sun in affordable and efficient flow batteries. The project expects to generate new knowledge in the areas of materials science and battery research by using innovative theoretical chemistry approaches to studying electrochemical properties of nitroxide radicals in ionic media. The project aims to develop radical organic flow batteries by utilising ionic liquids to stabilise radicals. Intended outcomes of the project include improved efficiency of flow batteries that can store energy from widely used solar panels. This should provide significant benefits to Australia’s effort to switch to renewable energy technologies. Read moreRead less
Influence of adsorbed surfactants on three phase contact line motion at high capillary number. The interaction between thin films and solid surfaces underpins the performance of a number of value-adding industrial processes, most notably metallurgical coating operations. Typically, these operations are performed at speeds well beyond the range of existing models, thereby limiting their value when changes in operation occur or when there are problems with product quality. Existing models are also ....Influence of adsorbed surfactants on three phase contact line motion at high capillary number. The interaction between thin films and solid surfaces underpins the performance of a number of value-adding industrial processes, most notably metallurgical coating operations. Typically, these operations are performed at speeds well beyond the range of existing models, thereby limiting their value when changes in operation occur or when there are problems with product quality. Existing models are also limited by their inability to account for the presence of surfactants commonly used throughout industry. This study will produce a capability for predicting how velocity and local changes in molecular composition affect the wetting/dewetting of coated surfaces.Read moreRead less
New carbon phases synthesized under extreme conditions. This project aims to address one of the major fundamental puzzles in carbon science; how to experimentally synthesize new phases of carbon predicted by theory. This could be approached via a combination of high pressure and high-energy ion irradiation to transform novel nano-carbon precursors. The expected outcomes include new phases of carbon with unexplored properties, an understanding of the pathways for synthesis of carbon materials, an ....New carbon phases synthesized under extreme conditions. This project aims to address one of the major fundamental puzzles in carbon science; how to experimentally synthesize new phases of carbon predicted by theory. This could be approached via a combination of high pressure and high-energy ion irradiation to transform novel nano-carbon precursors. The expected outcomes include new phases of carbon with unexplored properties, an understanding of the pathways for synthesis of carbon materials, and new computational tools to understand nano-carbon materials under extreme conditions. This should provide benefits for industries seeking advanced materials for modern manufacturing.Read moreRead less
Investigation of recognition memory in behavioural, electrophysiological, and functional neuro-imaging domains using state-trace analysis. This project utilises a novel methodology to investigate human recognition memory across three separate domains - behavioural, electrophysiological and functional neuro-imaging. The aim is to determine how these three aspects of memory are related and if they can be united by a single theory.