Multifunctional trilayer separator for durable multivalent energy storage. This project aims to develop an important new family of economical, high energy, multivalent batteries based on an abundant element, sulphur. The project plans to design a new battery separator to enable long-term stability in sulphur-based rechargeable batteries. This type of separator is of critical importance in many membrane-involved energy storage technologies. The project plans to use leading-edge durable energy tec ....Multifunctional trilayer separator for durable multivalent energy storage. This project aims to develop an important new family of economical, high energy, multivalent batteries based on an abundant element, sulphur. The project plans to design a new battery separator to enable long-term stability in sulphur-based rechargeable batteries. This type of separator is of critical importance in many membrane-involved energy storage technologies. The project plans to use leading-edge durable energy technologies to strengthen the development of residential energy systems and the involvement of renewable energy sources in modern grid.Read moreRead less
Structural safety guidelines for accidental hydrogen explosion hazards . This project aims to develop structural safety guidelines to mitigate hydrogen explosion hazards which can be identified as a major safety concern due to the higher demand worldwide for sustainable energy sources with no carbon emission. The world’s growing demand for hydrogen and Australia’s National Hydrogen Strategy to develop the industry will make Australia a core player in hydrogen production creating a massive econom ....Structural safety guidelines for accidental hydrogen explosion hazards . This project aims to develop structural safety guidelines to mitigate hydrogen explosion hazards which can be identified as a major safety concern due to the higher demand worldwide for sustainable energy sources with no carbon emission. The world’s growing demand for hydrogen and Australia’s National Hydrogen Strategy to develop the industry will make Australia a core player in hydrogen production creating a massive economic opportunity. However, the high flammability and low ignition energy of hydrogen makes it vulnerable to accidental explosions. Hence, this project will address the lack of safety protocols in Australian Standards related to the handling of hydrogen by producing essential design recommendations.Read moreRead less
Hybrid Toughening of Carbon Fibre Composites for Liquid Hydrogen Storage. This project aims to develop hybrid toughening technologies to overcome the major problem of transverse matrix cracking and splitting in existing carbon fibre composites when subjected to thermal-mechanical loading at the ultracold liquid hydrogen temperature. Nano-toughened thin-ply carbon fibre layers will be hybridised with standard-ply laminates to sustain internal pressure and external impact loading at cryogenic temp ....Hybrid Toughening of Carbon Fibre Composites for Liquid Hydrogen Storage. This project aims to develop hybrid toughening technologies to overcome the major problem of transverse matrix cracking and splitting in existing carbon fibre composites when subjected to thermal-mechanical loading at the ultracold liquid hydrogen temperature. Nano-toughened thin-ply carbon fibre layers will be hybridised with standard-ply laminates to sustain internal pressure and external impact loading at cryogenic temperatures without leaks. The hybrid composites are expected to enable Australian companies to engineer, manufacture and export lightweight carbon fibre tanks for storing and exporting liquid hydrogen, which is emerging as a transformational opportunity for Australia to become a global supplier of green energy.Read moreRead less
Deciphering ion specificity in complex electrolytes . This project aims to understand how ions influence the behaviour and properties of complex electrolytes (solutions containing either multiple ions, solvent mixtures, high electrolyte concentrations or a variety of interfaces, solutes or polymers). Complex electrolytes are ubiquitous in colloidal and particle technologies and underpin industrial and natural processes. Our team will combine experiment, simulation and theory to deliver a univers ....Deciphering ion specificity in complex electrolytes . This project aims to understand how ions influence the behaviour and properties of complex electrolytes (solutions containing either multiple ions, solvent mixtures, high electrolyte concentrations or a variety of interfaces, solutes or polymers). Complex electrolytes are ubiquitous in colloidal and particle technologies and underpin industrial and natural processes. Our team will combine experiment, simulation and theory to deliver a universal framework for understanding and predicting specific ion effects in complex electrolytes. The project outcomes are expected to deliver new understanding for researchers, robust rules of thumb for technologists and a public resource for data-driven solutions in applications utilising salt solutions. Read moreRead less
Dual-ion electrochemical systems. The project aims to develop dual-ion electrochemical systems. In contrast to conventional single-ion rechargeable cells, the charge storage process in the cathodes of these devices is facilitated by a second, negative ion. Dual-ion systems represent robust alternatives to current lithium-ion batteries and lithium-ion capacitors, addressing their sustainability and energy density limitations. The project’s outcomes are in the form of new sustainable energy storag ....Dual-ion electrochemical systems. The project aims to develop dual-ion electrochemical systems. In contrast to conventional single-ion rechargeable cells, the charge storage process in the cathodes of these devices is facilitated by a second, negative ion. Dual-ion systems represent robust alternatives to current lithium-ion batteries and lithium-ion capacitors, addressing their sustainability and energy density limitations. The project’s outcomes are in the form of new sustainable energy storage technologies with attrative energy and power densities for a wide range of applications. This should provide a significant benefit to society, the economy and the environment in enabling an easier transition to clean energy and ensuring energy security in Australia.Read moreRead less
Mapping Print, Charting Enlightenment. This project aims to reconstruct popular reading trends to revise understanding of European enlightenment and the transformational impact of print. Through an innovative, industry-wide digital survey of unprecedented scope and sophistication, tracking millions of copies of thousands of titles and all sectors of the book trade – legal, pirate and contraband – it asks: What books were widely read? Where were they produced and consumed? What was the relative s ....Mapping Print, Charting Enlightenment. This project aims to reconstruct popular reading trends to revise understanding of European enlightenment and the transformational impact of print. Through an innovative, industry-wide digital survey of unprecedented scope and sophistication, tracking millions of copies of thousands of titles and all sectors of the book trade – legal, pirate and contraband – it asks: What books were widely read? Where were they produced and consumed? What was the relative scale and nature of key parts of the trade – notably religious and illegal publishing? How cosmopolitan was popular reading? The project also aims to reflect on its digital methods and develop transferable technologies for studying print’s impact across time and space.Read moreRead less
Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vecto ....Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vector conversion methods. It is expected to develop a framework where semantic labels and hyperlinks can be embedded in visual data automatically. It hopes to pioneer the creation of a web of images where the links are on image/video regions. New image simplification, stylisation, and non-photorealistic rendering methods are expected to be provided.Read moreRead less
Pattern Discovery of Discriminating Behaviour Associated with Hidden Communities. A sound understanding of discriminating behaviour in hidden communities, e.g. market manipulation, is essential for effective intervention and prevention. This project will deliver novel and workable algorithms and tools for modelling and pattern discovery of such behaviour. This will safeguard Australia by tackling crucial business and social issues like abnormal trading, online crime and terrorism, thereby enhanc ....Pattern Discovery of Discriminating Behaviour Associated with Hidden Communities. A sound understanding of discriminating behaviour in hidden communities, e.g. market manipulation, is essential for effective intervention and prevention. This project will deliver novel and workable algorithms and tools for modelling and pattern discovery of such behaviour. This will safeguard Australia by tackling crucial business and social issues like abnormal trading, online crime and terrorism, thereby enhancing public confidence, compliance and security in both the economy and society, by preventing and reducing economic and social impact. It will create skills and outcomes to further Australia's leadership in managing emerging data mining challenges and applications, and will deepen collaboration with eminent researchers worldwide.Read moreRead less
Physico-chemical effects on long-time fluid transport for CO2 geostorage. This project aims to develop an efficient multi-scale laboratory-based modelling framework for the analysis of nonequilibrium transport and reaction processes occurring in CO2 storage scenarios. In a significant technological advance two non-destructive analysis techniques, Xray computed tomography and nuclear magnetic resonance, are combined with pore-scale simulations to address uncertainties in dynamic wettability alter ....Physico-chemical effects on long-time fluid transport for CO2 geostorage. This project aims to develop an efficient multi-scale laboratory-based modelling framework for the analysis of nonequilibrium transport and reaction processes occurring in CO2 storage scenarios. In a significant technological advance two non-destructive analysis techniques, Xray computed tomography and nuclear magnetic resonance, are combined with pore-scale simulations to address uncertainties in dynamic wettability alteration occurring during gravity driven convection. Expected outcomes are the in-situ characterisation of solid-surface interactions and predictions of multi-phase fluid flow. The project benefits the Australian resources sector by improving injectivity, storage efficiency and security of supercritical CO2 storage projects.Read moreRead less
Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on fore ....Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on forecast information.Read moreRead less