Designing reactivity of homogeneous and heterogeneous water-splitting catalysts using muti-dimensional site-selective spectroscopies. New classes of heterogeneous manganese-calcium water splitting catalysts analogous to the unique biological water splitting cofactor have recently emerged but with far lower catalytic rates than seen for the biological system. These new materials are promising targets for large-scale hydrogen fuel production with low cost, high efficiency and ease of manufacture. ....Designing reactivity of homogeneous and heterogeneous water-splitting catalysts using muti-dimensional site-selective spectroscopies. New classes of heterogeneous manganese-calcium water splitting catalysts analogous to the unique biological water splitting cofactor have recently emerged but with far lower catalytic rates than seen for the biological system. These new materials are promising targets for large-scale hydrogen fuel production with low cost, high efficiency and ease of manufacture. To achieve this, the performance gap between these materials and the homogenous biological catalyst must be bridged. Multi-dimensional site-selective spectroscopies, including magneto/optical resonance methods which are aimed to be developed in this project are expected to provide new, atomic level understanding of properties needed to achieve high catalytic efficiency, thus guiding rational catalyst design.Read moreRead less
Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating ....Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating and influencing attention allocation, and enable applications where content consumers, producers, hosting platforms and regulatory bodies are each empowered with their share of influence in the attention market.Read moreRead less
Growing a multi-scale internal structure: new wrought metals for energy conservation. This research aims to reduce the weight of wrought metal parts so that transport and machinery will use less energy. It will establish how to grow novel multi-scale internal structures and will thereby pioneer a new class of metals that display superior properties.
Developing an Essential Research Platform for the Molecular Engineering of Photosystem II. Sunlight reaching the earth is used by plants and algae to drive photosynthesis and to store chemical energy. Possibly the most fundamental contribution photosynthesis makes to earth is to generate gaseous oxygen, the result of solar driven water-splitting chemistry. However, the mechanism behind water-splitting is not exactly known. In this proposal we will construct a new model cyanobacteria host to stu ....Developing an Essential Research Platform for the Molecular Engineering of Photosystem II. Sunlight reaching the earth is used by plants and algae to drive photosynthesis and to store chemical energy. Possibly the most fundamental contribution photosynthesis makes to earth is to generate gaseous oxygen, the result of solar driven water-splitting chemistry. However, the mechanism behind water-splitting is not exactly known. In this proposal we will construct a new model cyanobacteria host to study water splitting. The host organism will be genetically modified to enable mechanistic questions of water oxidation to be tested and will provide new and pure forms of isolated protein. This model organism will provide team of international researchers with a remarkable tool new to study photosynthesis.Read moreRead less
Porous Electromaterials for Hydrogen Production and Energy Storage. This project aims to develop nanocomposite electrodes and membranes for efficient production of renewable hydrogen and the next generation of high-energy-density battery technologies. This will be accomplished by the engineering of multi-scale porous materials with tuneable electrical, chemical and morphological properties using earth abundant elements. The intended outcome is the establishment of a scalable methodology for the ....Porous Electromaterials for Hydrogen Production and Energy Storage. This project aims to develop nanocomposite electrodes and membranes for efficient production of renewable hydrogen and the next generation of high-energy-density battery technologies. This will be accomplished by the engineering of multi-scale porous materials with tuneable electrical, chemical and morphological properties using earth abundant elements. The intended outcome is the establishment of a scalable methodology for the structuring and effective integration of microporous materials in highly conductive scaffolds, achieving superior charge and molecular transport, as well as high surface activity. Broad social and economic benefits are anticipated providing new technological solutions for renewable energy storage and fuel production.Read moreRead less
Engineered materials for future energy technologies. The development of new technologies to be applied in fuel generation, energy conversion and environmental remediation will have wide national and international impact. The cross-disciplinary and cross-institution research program proposed will draw on expertise within Australia and in Europe for the fabrication of materials for next generation energy devices. In the future, there is the potential that these materials could be fabricated within ....Engineered materials for future energy technologies. The development of new technologies to be applied in fuel generation, energy conversion and environmental remediation will have wide national and international impact. The cross-disciplinary and cross-institution research program proposed will draw on expertise within Australia and in Europe for the fabrication of materials for next generation energy devices. In the future, there is the potential that these materials could be fabricated within Australia and therefore lead to employment nationally, and income generated through the export of advanced catalysts, solar cells and sequestration materials.Read moreRead less
The dynamics of convection - insights for ocean and climate physics and for solar thermal energy system design. This project will inform our understanding of, and response to, climate change by improving knowledge of ocean circulation and technology for renewable energy generation. The results will lead to better climate prediction models and understanding of ocean CO2 uptake, acidification and sea-level rise, and will help to reduce energy sector emissions.
Development of methods and algorithms to support multidisciplinary optimisation. This project will aim to develop a number of novel and computationally efficient schemes to deal with the key challenges facing multidisciplinary optimisation. These advancements will allow us to solve a number of challenging and intractable problems in science and engineering.
From plume source to hotspot: quantifying mixing in mantle plumes and its implications for the nature of deep-mantle heterogeneity. Mantle plumes are buoyant upwellings that bring hot material from Earth's deep-mantle to the surface, forming volcanic hotspots, like Hawaii. Although extensively studied, the geochemical variations recorded in hotspot lavas have, so far, proved difficult to understand, particularly how they relate to their heterogeneous deep-mantle source. This project aims to use ....From plume source to hotspot: quantifying mixing in mantle plumes and its implications for the nature of deep-mantle heterogeneity. Mantle plumes are buoyant upwellings that bring hot material from Earth's deep-mantle to the surface, forming volcanic hotspots, like Hawaii. Although extensively studied, the geochemical variations recorded in hotspot lavas have, so far, proved difficult to understand, particularly how they relate to their heterogeneous deep-mantle source. This project aims to use state-of-the-art geodynamical models to determine how deep-mantle heterogeneities are transported into a plume and how such heterogeneities are mixed during plume ascent. This will facilitate the linking, for the first time, of geochemical variations at volcanic hotspots to the deep-mantle's thermo-chemical structure, under an Earth-like, fluid-dynamical framework.Read moreRead less
Declarative Networks: Towards Robust and Explainable Deep Learning. The aim of this project is to develop declarative machine learning techniques that exploit inherent structure and models of the world. Deep learning has become the dominant approach for machine learning with many products and promises built on this technology. But deep learning is expensive, opaque, brittle and relies solely on human labelled data. This project intends to make deep learning more reliable by establishing theory a ....Declarative Networks: Towards Robust and Explainable Deep Learning. The aim of this project is to develop declarative machine learning techniques that exploit inherent structure and models of the world. Deep learning has become the dominant approach for machine learning with many products and promises built on this technology. But deep learning is expensive, opaque, brittle and relies solely on human labelled data. This project intends to make deep learning more reliable by establishing theory and algorithms that allow physical and mathematical models to be embedded within a deep learning framework, providing performance guarantees and interpretability. This would likely benefit machine learning based products that can understand the world and interact with humans naturally through vision and language.Read moreRead less