Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and frac ....Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and fractures. This project integrates innovation in geology, chemistry, and mineral engineering, and will deliver mineral-scale reaction models that will increase efficiency of in-situ mining and leaching technologies. Knowledge generated can be applied to improve mineral exploration, mining, and processing, contributing to unlocking billions of dollars’ worth of resources tied up in low grade, mineralogically complex ores.Read moreRead less
Mathematics and computing for integrated stockyard-centric management of mining supply chains. Blended mineral products, such as coal and iron ore, make a strong contribution to Australia's economy. Blending occurs in stockpiles, so to realise product value, stockyard and supply chain operational plans must align with blend targets. This project will provide new mathematical and computational planning tools to maximise this value.
Green Manufacturing of Graphene from Indigenous Natural Graphite and Graphene-based Nanofiltration Membranes. This project aims to investigate radical new approaches to reduce chemical and energy requirements for transformation of indigenous natural graphite to a high-value material graphene. The graphite which will be used is the by-product of the Uley mines of South Australia. Graphene is an atomically thin arrangement of carbon atoms with combinations of remarkable chemical inertness, strengt ....Green Manufacturing of Graphene from Indigenous Natural Graphite and Graphene-based Nanofiltration Membranes. This project aims to investigate radical new approaches to reduce chemical and energy requirements for transformation of indigenous natural graphite to a high-value material graphene. The graphite which will be used is the by-product of the Uley mines of South Australia. Graphene is an atomically thin arrangement of carbon atoms with combinations of remarkable chemical inertness, strength, and massive surface area. Utilising fluid phase dispersed graphene, this project aims to develop scalable and industrially-adaptable methods to manufacture thin yet mechanically robust, inert, fouling-resistant, highly-permeable graphene-based asymmetric membranes. These advanced membranes are expected to find wide application in reducing discharge of mining effluents and recovery of precious metals.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH130200033
Funder
Australian Research Council
Funding Amount
$2,526,617.00
Summary
ARC Research Hub for Australian Copper-Uranium. ARC Research Hub for Australian Copper-Uranium. This Research Hub aims to develop, test and commercialise new, safe and cost-effective methods to separate radionuclides from copper concentrates derived from copper/uranium ores. The Research Hub will focus on harnessing the expertise and facilities of Australia's key 'resource' companies and universities to enable Australia to position itself as a world leader in copper production and associated tec ....ARC Research Hub for Australian Copper-Uranium. ARC Research Hub for Australian Copper-Uranium. This Research Hub aims to develop, test and commercialise new, safe and cost-effective methods to separate radionuclides from copper concentrates derived from copper/uranium ores. The Research Hub will focus on harnessing the expertise and facilities of Australia's key 'resource' companies and universities to enable Australia to position itself as a world leader in copper production and associated technology.Read moreRead less
Groundwater flow age distributions: Understanding open pit mine hydrology. This project aims to improve the estimation of the age of groundwater. Understanding groundwater age is critical for sustainable management and environmental tracers are increasingly used for this purpose. However, groundwater samples are inevitably mixtures of water of different ages. Since for most tracers the relationship between tracer concentration and age is not linear, different tracers can produce different mean a ....Groundwater flow age distributions: Understanding open pit mine hydrology. This project aims to improve the estimation of the age of groundwater. Understanding groundwater age is critical for sustainable management and environmental tracers are increasingly used for this purpose. However, groundwater samples are inevitably mixtures of water of different ages. Since for most tracers the relationship between tracer concentration and age is not linear, different tracers can produce different mean ages for the sample. This project aims to determine whether it is possible to determine moments of the groundwater age distributions from measurements made with different environmental tracers. The project also aims to examine whether the degree of heterogeneity within the aquifer can be determined from the disparity between ages obtained with different tracers. This project aims to tackle the largest problem with using groundwater chemistry to estimate water age – that mixing processes in the subsurface are never known. Solving this problem will allow much more accurate estimates of groundwater velocity and aquifer recharge rates. The groundwater industry contributes an estimated $6.8 billion per annum to the Australian economy, and this project will contribute to the sustainable management of the groundwater resource.Read moreRead less
Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Fear and licensing in Australia: Investigating the social licence to operate of an emerging coal seam gas industry. Australia’s nascent coal seam gas (CSG) industry is the site of substantial social tension. For some the industry can transform and safeguard national energy sources and fuel booming Asian exports. For others it damages both the environment and communities. This tension is vividly expressed by local protests and regulatory bans. Communities, mining companies and government invoke a ....Fear and licensing in Australia: Investigating the social licence to operate of an emerging coal seam gas industry. Australia’s nascent coal seam gas (CSG) industry is the site of substantial social tension. For some the industry can transform and safeguard national energy sources and fuel booming Asian exports. For others it damages both the environment and communities. This tension is vividly expressed by local protests and regulatory bans. Communities, mining companies and government invoke a 'social licence to operate' as fundamental to industry viability. This landmark project explores the concept of a social licence to operate in Australia's CSG industry to tease apart the dynamic risks, opportunities and tensions at work between corporations, rural and regional Australian communities and government, and offers policy and practice recommendations. Read moreRead less
Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100156
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Computational infrastructure for machine learning in computer vision. The many trillions of images stored on computers around the world, including more than 100 billion on Facebook alone, represent exactly the information needed to develop artificial vision. All we need do is extract it. This project will develop the computational infrastructure required to allow Australian researchers to achieve this goal.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less