New Horizons in Quinonedimethide Chemistry. Quinonedimethides (QDMs) are organic molecules with a notorious reputation for instability, hence they are poorly understood and an underexploited resource. This project will unite the ideally suited computational and experimental skills of the CIs to perform the first thorough investigation into fundamental QDM chemistry. It aims to map structure-reactivity in QDMs, investigate their ability to rapidly generate complex structures, and demonstrate thei ....New Horizons in Quinonedimethide Chemistry. Quinonedimethides (QDMs) are organic molecules with a notorious reputation for instability, hence they are poorly understood and an underexploited resource. This project will unite the ideally suited computational and experimental skills of the CIs to perform the first thorough investigation into fundamental QDM chemistry. It aims to map structure-reactivity in QDMs, investigate their ability to rapidly generate complex structures, and demonstrate their potential in spintronics and other applications. Anticipated outcomes include powerful and general new synthetic concepts, methods, strategies and tactics. This should provide significant benefits, such as better ways to manufacture important medicines and other materials.Read moreRead less
Switchable and stereocontrolled photoredox catalysis. This project aims to develop new catalytic synthetic reactions for the rapid and more direct functionalisation of organic compounds under mild conditions with the use of visible light. An integrated experimental and computational approach will be used to design potent visible-light photocatalysts that retain the advantages of standard photoredox catalysis but with the added ability to intercept and, thus control, reactive intermediates in sit ....Switchable and stereocontrolled photoredox catalysis. This project aims to develop new catalytic synthetic reactions for the rapid and more direct functionalisation of organic compounds under mild conditions with the use of visible light. An integrated experimental and computational approach will be used to design potent visible-light photocatalysts that retain the advantages of standard photoredox catalysis but with the added ability to intercept and, thus control, reactive intermediates in situ. This will enable the control of stereochemistry in photoredox reactions – not possible with standard catalysts - and establish other useful synthetic transformations. These strategies will make it easier to prepare valuable classes of organic molecules – efficiently, safely, and cost-effectively.
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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
Industrial Transformation Training Centres - Grant ID: IC220100030
Funder
Australian Research Council
Funding Amount
$4,978,958.00
Summary
ARC Training Centre for Next-Gen Architectural Manufacturing. The Centre will generate specialised workforce capacity within Australia’s architectural sector. Leveraging advanced architectural computing discoveries will connect architectural design with the opportunities afforded by advanced manufacturing systems. The Centre will triangulate world-leading researchers, visionary partners, and talented graduates, integrating research into practice through digital business strategies, augmented int ....ARC Training Centre for Next-Gen Architectural Manufacturing. The Centre will generate specialised workforce capacity within Australia’s architectural sector. Leveraging advanced architectural computing discoveries will connect architectural design with the opportunities afforded by advanced manufacturing systems. The Centre will triangulate world-leading researchers, visionary partners, and talented graduates, integrating research into practice through digital business strategies, augmented intelligence, and computing domains of expertise. The Centre’s program of industry-embedded PhD’s, national/international placements, short courses, and post-doctoral projects will co-develop the change agents needed to transform the architectural profession to meet our nation’s immediate strategic needs.Read moreRead less
Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and ....Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and non-contact detection suitable for hard-to-inspect surface conditions, will also be investigated. The new developments will help transform existing schedule-based maintenance practice to a condition-based maintenance paradigm, to achieve significant cost savings in maintenance.Read moreRead less
Fatigue Life Assessment of Structures under Realistic Loading Conditions. The project will develop a new methodology for the assessment of fatigue life of structures subjected to realistic loading conditions. This new methodology is based on recent advances in experimental techniques which make possible, for the first time, the investigation of the crack opening/closure mechanisms and the crack driving force for large numbers of fatigue cycles (>1 million) of variable amplitude, representative o ....Fatigue Life Assessment of Structures under Realistic Loading Conditions. The project will develop a new methodology for the assessment of fatigue life of structures subjected to realistic loading conditions. This new methodology is based on recent advances in experimental techniques which make possible, for the first time, the investigation of the crack opening/closure mechanisms and the crack driving force for large numbers of fatigue cycles (>1 million) of variable amplitude, representative of real-world applications. The project will expand Australia’s knowledge base and research capabilities in structural life prognosis. It will increase the competitiveness of domestic products and industries, fostering international collaborations and leadership of Australia in this strategically important area of research.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.Read moreRead less
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less
Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expect ....Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expected outcomes include protocol to accurately monitor emissions, models to predict emission under various conditions, and mitigation guideline for typical plant configurations. The anticipated benefit is a significant reduction in GHG emissions from urban water industry and support it to meet net-zero-emission goal by 2050.Read moreRead less