Nanoscale heating towards high efficient nitrogen reduction reduction. This project aims to develop nanoscale heating technique using AC magnetic field for efficient synthesis of ammonia, widely used for fertiliser and having potential for hydrogen storage. This project is to introduce nanoscale heating concept by heating catalyst only but not solution in electrochemical catalysis to achieve high catalytic activity. Expected outcome is the creation of low cost catalysts having high selectivity a ....Nanoscale heating towards high efficient nitrogen reduction reduction. This project aims to develop nanoscale heating technique using AC magnetic field for efficient synthesis of ammonia, widely used for fertiliser and having potential for hydrogen storage. This project is to introduce nanoscale heating concept by heating catalyst only but not solution in electrochemical catalysis to achieve high catalytic activity. Expected outcome is the creation of low cost catalysts having high selectivity and formation rate for ammonia production. This unique technology has the potential to replace current ammonia production based on Haber-Bosch process, which consumes 2% of world energy and contributes 3% of overall CO2 emission. The project provides opportunities for new industries that will benefit Australian economy.Read moreRead less
An advanced framework for multi-agent strategic interactions. Communication security protocols and computer algorithms are expressible in terms of strategic interactions between competing agents, which can be analyzed in a game theory setting. This project will exploit the recent advances in extending this game theory framework to multidimensional spaces, thereby strengthening the theoretical foundations. This will provide new insights into the working of algorithms, potentially improving futur ....An advanced framework for multi-agent strategic interactions. Communication security protocols and computer algorithms are expressible in terms of strategic interactions between competing agents, which can be analyzed in a game theory setting. This project will exploit the recent advances in extending this game theory framework to multidimensional spaces, thereby strengthening the theoretical foundations. This will provide new insights into the working of algorithms, potentially improving future secure key distribution. Multi-agent interactions in higher dimensional spaces are considered intractable using traditional matrix methods and this project will build on our exciting new breakthrough showing that such interactions are tractable using geometric multivectors.Read moreRead less
Catalytic Degardation of Emerging Microplastic Pollutants. This project aims to develop robust and low-cost nanocarbon hybrids and advanced remediation technology to address globally emerging microplastic contaminations. The project expects to boost innovations in development of novel magnetic nanomaterials, process of microplastic purification, and green catalysis. Expected outcomes of this project will include efficient strategies in materials fabrication and a cutting-edge nanotechnology. The ....Catalytic Degardation of Emerging Microplastic Pollutants. This project aims to develop robust and low-cost nanocarbon hybrids and advanced remediation technology to address globally emerging microplastic contaminations. The project expects to boost innovations in development of novel magnetic nanomaterials, process of microplastic purification, and green catalysis. Expected outcomes of this project will include efficient strategies in materials fabrication and a cutting-edge nanotechnology. The success of the project will underpin the scientific bases of carbocatalysis, provide significant benefits to the Australian industry and society for a sustainable future with clean water, and increase the leading capacity of Australia in fundamental research and frontier technology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100253
Funder
Australian Research Council
Funding Amount
$450,948.00
Summary
Functional carbon hybrids for green catalysis and clean water. This project aims to develop a family of structure-tailored, robust and metal-free carbon hybrids and environmental-benign processes for catalytic degradation of emerging microcontaminants in water. Innovations are expected in the design of reaction-oriented nanocarbons, new concept in atomic level carbocatalysis from computation and in-situ characterisation, advanced purification technology, and breakthroughs in material engineering ....Functional carbon hybrids for green catalysis and clean water. This project aims to develop a family of structure-tailored, robust and metal-free carbon hybrids and environmental-benign processes for catalytic degradation of emerging microcontaminants in water. Innovations are expected in the design of reaction-oriented nanocarbons, new concept in atomic level carbocatalysis from computation and in-situ characterisation, advanced purification technology, and breakthroughs in material engineering. The anticipated outcomes will be the scientific basis for functional nanomaterials, nanotechnology, and green remediation technologies. Success will provide significant benefits in securing a sustainable future for Australia, with clean water and strategies for advanced manufacturing in related areas. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101074
Funder
Australian Research Council
Funding Amount
$424,500.00
Summary
Conversion of biowastes to porous carbon materials for green catalysis. This project aims to develop a family of biowaste-derived porous carbon and single-atom-anchored porous carbon catalysts for the degradation of emerging microcontaminants in water. Innovations are expected in systematically developing affordable, facile, productive, and sustainable approaches. Via reaction-oriented structure design, new concept will be defined at the atomic level using calculations and in situ characterisati ....Conversion of biowastes to porous carbon materials for green catalysis. This project aims to develop a family of biowaste-derived porous carbon and single-atom-anchored porous carbon catalysts for the degradation of emerging microcontaminants in water. Innovations are expected in systematically developing affordable, facile, productive, and sustainable approaches. Via reaction-oriented structure design, new concept will be defined at the atomic level using calculations and in situ characterisations in material engineering and advanced purification technology. The anticipated outcomes will provide fundamental knowledge in green nanotechnologies for water remediation. Success will secure a sustainable future for Australia with clean water and strategies for advanced manufacturing in relevant areas.Read moreRead less
Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical application ....Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical applications such as better wellness tracking and lifestyle-related illness prevention, which will be particularly critical to Australia's aging population. This project will also serve as a vehicle to educate and train Australia’s young scholars and engineers.Read moreRead less
Controllable Synthesis of Defects in Catalysts for Electrocatalysis . This project aims to address the most critical issue of electrocatalysis: identification of active sites for carbon-based metal free catalysts (CMFCs). Through the development of new methodologies, this proposal will, for the first time, controllably synthesise the vacancy defects that are the major active sites for CMFCs. The expected outcomes from this project include in-depth understanding of the fundamentals of electrocata ....Controllable Synthesis of Defects in Catalysts for Electrocatalysis . This project aims to address the most critical issue of electrocatalysis: identification of active sites for carbon-based metal free catalysts (CMFCs). Through the development of new methodologies, this proposal will, for the first time, controllably synthesise the vacancy defects that are the major active sites for CMFCs. The expected outcomes from this project include in-depth understanding of the fundamentals of electrocatalysis: the reactivity of active sites and the catalytic performance with the number of active sites; which will not only significantly advance knowledge but also achieve breakthrough technologies that greatly benefit to the society and economy both for Australia and worldwide.Read moreRead less
Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical ....Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical tools for immersive data analytics. This will provide significant benefits, such as allowing those across government and industry to make more informed decisions from data.Read moreRead less
What Can You Trust in the Large and Noisy Web? This project will develop innovative techniques to efficiently and effectively distill truthful information from the inherently unreliable and large-scale Web environment, where misinformation has been widely regarded as a grand challenge for the next decade. The results of this project will not only maintain Australia’s leadership in this frontier research area, but also support many important applications that safeguard Australian people and econo ....What Can You Trust in the Large and Noisy Web? This project will develop innovative techniques to efficiently and effectively distill truthful information from the inherently unreliable and large-scale Web environment, where misinformation has been widely regarded as a grand challenge for the next decade. The results of this project will not only maintain Australia’s leadership in this frontier research area, but also support many important applications that safeguard Australian people and economy such as emergency and disaster management and online healthcare. This project also serves as an excellent vehicle for the education and training of Australia’s next generation of scholars and engineers.Read moreRead less
Towards knowledge discovery from imperfect and evolving data. Information extraction from data is critical, both to analyse and protect consumer data. However, many learning techniques are developed using perfect, static datasets, quite different to messy, ever-changing real-world data. This project aims to develop data analytics techniques that can extract accurate information in complex structures from imperfect/incomplete data that changes over time. Expected outcomes are a prototype tool, te ....Towards knowledge discovery from imperfect and evolving data. Information extraction from data is critical, both to analyse and protect consumer data. However, many learning techniques are developed using perfect, static datasets, quite different to messy, ever-changing real-world data. This project aims to develop data analytics techniques that can extract accurate information in complex structures from imperfect/incomplete data that changes over time. Expected outcomes are a prototype tool, tested on real datasets, that combines new techniques in data modelling, algorithm development, and system design. Likely benefits are enhanced Australia's competence in data science through student training and new, robust data tools relevant to critical sectors such as cybersecurity, healthcare, and defence.Read moreRead less