A direct drive linear tube generator for ocean wave energy conversion. This project aims to investigate a direct drive linear electromagnetic generator system for the maximum wave energy conversion and frequency bandwidth. This system has a translator of a multiple degree of freedom non-linear oscillator system built with the Halbach ring array pattern and ferro-fluid bearings. To establish wave energy conversion science, this project will investigate the device, its integration with a buoy stru ....A direct drive linear tube generator for ocean wave energy conversion. This project aims to investigate a direct drive linear electromagnetic generator system for the maximum wave energy conversion and frequency bandwidth. This system has a translator of a multiple degree of freedom non-linear oscillator system built with the Halbach ring array pattern and ferro-fluid bearings. To establish wave energy conversion science, this project will investigate the device, its integration with a buoy structure under wave loadings and automatic control of power conversion and conditioning. The outcome could meet demands for wave energy conversion technologies that reduce power generation cost and emissions, benefiting the Australian economy and environment.Read moreRead less
Asymptotic Geometric Analysis and Learning Theory. Learning Theory is used in various real-world applications in diverse research areas, ranging from Biology (e.g. DNA sequencing) to Information Sciences. Therefore, having a deep understanding of fundamental questions in Learning Theory, and in particular, pin-pointing the parameters that make a learning problem hard would have a significant practical impact. This projects aims to achieve this goal, and in addition, we expect it would have a hig ....Asymptotic Geometric Analysis and Learning Theory. Learning Theory is used in various real-world applications in diverse research areas, ranging from Biology (e.g. DNA sequencing) to Information Sciences. Therefore, having a deep understanding of fundamental questions in Learning Theory, and in particular, pin-pointing the parameters that make a learning problem hard would have a significant practical impact. This projects aims to achieve this goal, and in addition, we expect it would have a high theoretical value, as the questions we shall address are of independent interest to pure mathematicians.Read moreRead less
Ambient Electrochemical C-N Coupling via Co-electrolysis of N2 and CO2. To overcome the hurdles in N2 fixation (massive energy consumption and CO2 emission), investigators creatively hypothesize that the simultaneous electrocatalytic coupling of N2 and CO2 would enable the selective formation of N-products and thus realize their conversion into N--fertilizers and acetamides. Based on the CI's recent discoveries, this project will develop an innovative / sustainable system, which could promote th ....Ambient Electrochemical C-N Coupling via Co-electrolysis of N2 and CO2. To overcome the hurdles in N2 fixation (massive energy consumption and CO2 emission), investigators creatively hypothesize that the simultaneous electrocatalytic coupling of N2 and CO2 would enable the selective formation of N-products and thus realize their conversion into N--fertilizers and acetamides. Based on the CI's recent discoveries, this project will develop an innovative / sustainable system, which could promote the N2 fixation along with CO2 conversion process, a significant alternative approach to simplify the pathways of C-N bond formation. It will thereby contribute to mitigation of greenhouse emissions and create an ecofriendly protocol/technology for distributed production of C-N products under ambient conditions. Read moreRead less
Geological sequestration of carbon dioxide in deep saline aquifers: coupled flow-mechanical considerations. Deep saline aquifers have been routinely proposed as sites for long-term, large-scale storage of carbon dioxide (CO2) emissions, as an option to assist the abatement of global warming. This project investigates expected engineering behaviour of deep saline aquifer reservoirs and their stability following CO2 sequestration.
Carbon-free Energy Storage and Conversion Using Ammonia as a Mediator. This project aims to develop essential technologies for ammonia-mediated energy storage, hydrogen production, and electricity generation. This project expects to generate new understandings on designing novel multi-atom-cluster catalysts for the critical ammonia synthesis, electrolysis, and oxidation processes using interdisciplinary approaches. The expected outcomes of this project include multi-functional electrocatalysts, ....Carbon-free Energy Storage and Conversion Using Ammonia as a Mediator. This project aims to develop essential technologies for ammonia-mediated energy storage, hydrogen production, and electricity generation. This project expects to generate new understandings on designing novel multi-atom-cluster catalysts for the critical ammonia synthesis, electrolysis, and oxidation processes using interdisciplinary approaches. The expected outcomes of this project include multi-functional electrocatalysts, fundamental insights of principles for electrocatalyst design, and prototype technologies. This should provide significant benefits for the harvest of clean energy, the safe utilization of hydrogen, and the development of carbon-free fuels, which are essential for optimizing the energy structure of Australia.Read moreRead less
Asymptotic Geometric Analysis and Learning Theory. Learning Theory is used in various real-world applications in diverse research areas, ranging from Biology (e.g. DNA sequencing) to Information Sciences. Therefore, having a deep understanding of fundamental questions in Learning Theory, and in particular, pin-pointing the parameters that make a learning problem hard would have a significant practical impact. This projects aims to achieve this goal, and in addition, we expect it would have a hig ....Asymptotic Geometric Analysis and Learning Theory. Learning Theory is used in various real-world applications in diverse research areas, ranging from Biology (e.g. DNA sequencing) to Information Sciences. Therefore, having a deep understanding of fundamental questions in Learning Theory, and in particular, pin-pointing the parameters that make a learning problem hard would have a significant practical impact. This projects aims to achieve this goal, and in addition, we expect it would have a high theoretical value, as the questions we shall address are of independent interest to pure mathematicians.
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Structural modelling of silicon carbide-derived microporous carbon and its application in carbon dioxide capture from moist gases. The project will deliver a powerful new tool for determining the nanostructure of carbons, and will advance the modelling of fluid equilibrium, accessibility and transport within this structure. The outcomes will be crucial to the development of emerging technologies in nanofluidics, gas and electrochemical energy storage, and gas separation.
Controlling and Understanding Interface Chemistry for Energy Conversions. This project aims to develop a promising electrocatalyst technology platform, based on novel 2D material architectures that have applications ranging from hydrogen generation via water splitting through to carbon dioxide reduction. The project is expected to generate advanced knowledge for the rational design of electrocatalysts and to promote the development of renewable energy technologies. Expected outcomes include a cl ....Controlling and Understanding Interface Chemistry for Energy Conversions. This project aims to develop a promising electrocatalyst technology platform, based on novel 2D material architectures that have applications ranging from hydrogen generation via water splitting through to carbon dioxide reduction. The project is expected to generate advanced knowledge for the rational design of electrocatalysts and to promote the development of renewable energy technologies. Expected outcomes include a clear understanding of the relevant fundamental science and mechanisms, a framework for designing and optimising for specific applications, and a demonstration of prototype devices. This project is of great benefit for addressing Australia’s energy and environmental concerns and boosting national economic growth as well.Read moreRead less
Innovative hands-free technology to give the severely disabled greater mobility control. Half of the serious neurological injuries in Australia result in tetraplegia. Combined with other disabilities that involve severe mobility impairments the cost to the community economically, psychologically and socially is huge. This new Australian technology will facilitate effective sharing of control between a disabled person and a computer control system, taking advantage of their unique strengths and e ....Innovative hands-free technology to give the severely disabled greater mobility control. Half of the serious neurological injuries in Australia result in tetraplegia. Combined with other disabilities that involve severe mobility impairments the cost to the community economically, psychologically and socially is huge. This new Australian technology will facilitate effective sharing of control between a disabled person and a computer control system, taking advantage of their unique strengths and enabling each to aid the other in areas of weakness. The social and personal benefits are potentially very large. Scope also exists to significantly reduce healthcare costs and to develop a new industry in hands-free technology.Read moreRead less
Managing Hydrate Formation for Viable CO2 and Energy Transport. Increasing the allowable water content during the pipeline transportation of carbon dioxide (CO2) would greatly increase the viability of carbon capture and storage but would also increase the risk of CO2-hydrate blockages. Subsea methane (CH4) hydrate sediments represent a tremendous new energy resource if blockages in production pipelines can be avoided. Conventional oil industry approaches to hydrate avoidance are of limited rele ....Managing Hydrate Formation for Viable CO2 and Energy Transport. Increasing the allowable water content during the pipeline transportation of carbon dioxide (CO2) would greatly increase the viability of carbon capture and storage but would also increase the risk of CO2-hydrate blockages. Subsea methane (CH4) hydrate sediments represent a tremendous new energy resource if blockages in production pipelines can be avoided. Conventional oil industry approaches to hydrate avoidance are of limited relevance and too expensive for these new applications. Formation probability distributions, cohesive forces and agglomeration tendencies of CO2 and CH4 hydrates are intended to be measured and integrated into predictive multi-phase flow models, enabling quantitative risk assessments of blockages in CO2 transport or hydrate production pipelines.Read moreRead less