Special Research Initiatives - Grant ID: SR0354778
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
Deep Earth Resource Characterisation and Extraction - An Integrated Geoscience Approach. Sustainability, economy and safety in resource recovery require a high level of understanding of the mechanics of geomaterials in their natural conditions and a multidisciplinary approach to the geotechnical issues involved. This initiative aims to bridge gaps between geotechnical disciplines, to combine the testing, analytical skills and experience of the research groups and to incorporate expertise and ide ....Deep Earth Resource Characterisation and Extraction - An Integrated Geoscience Approach. Sustainability, economy and safety in resource recovery require a high level of understanding of the mechanics of geomaterials in their natural conditions and a multidisciplinary approach to the geotechnical issues involved. This initiative aims to bridge gaps between geotechnical disciplines, to combine the testing, analytical skills and experience of the research groups and to incorporate expertise and ideas from the cognate disciplines of geology and geophysics so that innovative engineering practice will develop. This approach should achieve breakthroughs in understanding the behaviour of, and the safe economic extraction from deep resources including minerals, coal, gas drainage, petroleum and geothermal energy.Read moreRead less
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
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
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0560716
Funder
Australian Research Council
Funding Amount
$864,610.00
Summary
A National T-ray Facility. T-rays are between microwaves and infrared on the electromagnetic spectrum. Recently, advances in femtosecond lasers enabled access to T-ray frequencies, producing an important new imaging modality for non-invasive sensing of materials and structures. Internationally, T-rays represent a rich new science leading to advanced forms of biophotonics, biomedical imaging and spectroscopy. Non-invasive T-ray diagnostics of nano- and bio-materials are being hotly pursued. The o ....A National T-ray Facility. T-rays are between microwaves and infrared on the electromagnetic spectrum. Recently, advances in femtosecond lasers enabled access to T-ray frequencies, producing an important new imaging modality for non-invasive sensing of materials and structures. Internationally, T-rays represent a rich new science leading to advanced forms of biophotonics, biomedical imaging and spectroscopy. Non-invasive T-ray diagnostics of nano- and bio-materials are being hotly pursued. The outcome will be a strategically important Australian T-ray facility that will provide immediate and transparent nationwide access. Historically, industry is transformed every time a new part of the electromagnetic spectrum becomes accessible - T-rays are the next frontier.Read moreRead less
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0453803
Funder
Australian Research Council
Funding Amount
$535,452.00
Summary
High Performance Optical and Electronic Coatings Facility. The main aim of this project is to establish a state-of-the-art optical and electronic coatings facility for the Australian optoelectronics and nanotechnology research community to develop novel technologies of interest to communications, information technology and nanotechnology industries. The facility will allow the fabrication of a range of active and passive devices including photonic integrated circuits. The facility is f ....High Performance Optical and Electronic Coatings Facility. The main aim of this project is to establish a state-of-the-art optical and electronic coatings facility for the Australian optoelectronics and nanotechnology research community to develop novel technologies of interest to communications, information technology and nanotechnology industries. The facility will allow the fabrication of a range of active and passive devices including photonic integrated circuits. The facility is flexible enough to allow the deposition of a range of dielectric and metal layers with different structural, optical and electrical characteristics of fundamental as well as applied interest. This facility may open up new opportunities to develop microcavities, nanocrystals, tunable lasers and detectors, novel cantilevers for atomic force microscopy.
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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100133
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
National Facility for Physical Blast Simulation (NFPBS). Recent terrorist attacks employing large quantities of high explosives have prompted the international demand for experimental investigation of civil infrastructure response to shock wave loadings. The National Facility for Physical Blast Simulation (NFPBS) is one of only a few in the world that are suitable for conducting experimental research via a physically generated blast approach.
ARC Research Network for Advanced Materials. Materials science/engineering is decidedly interdisciplinary, covering all science and impacting on all manufacturing industry. This network will promote interactions that do not usually occur between materials researchers and students across Australia and internationally from diverse disciplines. The scope is broadly based on advanced materials production, processing and properties but focused in four areas, involving: i) innovative structural/functi ....ARC Research Network for Advanced Materials. Materials science/engineering is decidedly interdisciplinary, covering all science and impacting on all manufacturing industry. This network will promote interactions that do not usually occur between materials researchers and students across Australia and internationally from diverse disciplines. The scope is broadly based on advanced materials production, processing and properties but focused in four areas, involving: i) innovative structural/functional materials, ii) high-tech IT/communications/sensing materials, iii) materials solutions for manufacturing, iv) materials for a sustainable Australia, and v) emerging materials technologies. Key programs will promote interdisciplinary workshops and early career researcher interactions.Read moreRead less