Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100119
Funder
Australian Research Council
Funding Amount
$420,000.00
Summary
Materials characterisation facility for a sustainable future. Sustainable development will require access to large-scale carbon-neutral energy production. The tools provided through this project will enable the development of new knowledge and novel materials and processes technologies that will deliver this carbon-neutral energy.
Discovery Early Career Researcher Award - Grant ID: DE120102052
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Resolving flame stabilisation mechanisms in the transition to moderate or intense low oxygen dilution (MILD) combustion. Next-generation combustion technologies are required in the transition to more efficient, and less polluting, energy production. This project will address the important issue of understanding flame stabilisation on a fundamental level to facilitate the design and development of more efficient and sustainable combustion systems.
Better predictions of spray flames. This project aims to predict spray flames using experimental and computational modelling of the combustion near burning droplets in spray flames. Spray flames are the dominant source of energy for the transportation sector, and are expected to remain so well into the future. Limited understanding of combustion processes surrounding the burning of the droplets restricts further technological development. This project is expected to enable progress in design too ....Better predictions of spray flames. This project aims to predict spray flames using experimental and computational modelling of the combustion near burning droplets in spray flames. Spray flames are the dominant source of energy for the transportation sector, and are expected to remain so well into the future. Limited understanding of combustion processes surrounding the burning of the droplets restricts further technological development. This project is expected to enable progress in design tools for spray flame combustors operating on liquid fuels, including bio-fuels. The result will be lower pollutant emissions and lower the cost of design of new engines.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100127
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
Controlled radiation facility to investigate turbulence-radiation-chemistry interactions in high-flux solar reactors. This project's facility will support the transition of Australia’s energy intensive industries, including minerals and resources, to a much lower carbon intensity. It will also underpin collaborations with internationally leading partners to develop novel solar-combustion hybrid reactors for the production of solar fuels and for minerals processing.
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: LE120100230
Funder
Australian Research Council
Funding Amount
$160,000.00
Summary
Simultaneous measurements of reaction kinetics and particle distributions for cutting-edge research into CO2 storage, catalysis and novel materials. This integrated facility will support the development of new CO2 storage and utilisation technologies for Australia. It will also assist with developing technologies for corrosion protection, energy recovery from biomass, and mineral processing which will maintain the competitiveness of Australia in these industries.
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: LE130100158
Funder
Australian Research Council
Funding Amount
$200,000.00
Summary
Supercontinuum fibre laser consortium for the chemical and materials sciences. A supercontinuum fibre laser facility will be established across nodes at The University of Adelaide and The University of Melbourne, and used to probe the chemical basis of photosynthesis, explore the properties of organic solar cell materials and biomaterials, develop efficient metal catalysts, and detect metal vapours in gases.
Adaptation of carbon free fuels to high temperature industrial processes. This project aims to deepen our understanding of the underpinning scientific and engineering solutions required to adapt carbon free renewable fuels to high temperature industrial processes. The project will advance the knowledge base of innovative strategies, such as fuel blending and oxidant stream vitiation needed to replace fossil based fuels with alternatives such as hydrogen, or ammonia. Advance experimental and comp ....Adaptation of carbon free fuels to high temperature industrial processes. This project aims to deepen our understanding of the underpinning scientific and engineering solutions required to adapt carbon free renewable fuels to high temperature industrial processes. The project will advance the knowledge base of innovative strategies, such as fuel blending and oxidant stream vitiation needed to replace fossil based fuels with alternatives such as hydrogen, or ammonia. Advance experimental and computational tools will be used to investigate the controlling parameters to facilitate adaptation including burning characteristics, modes of heat transfer and pollutant emissions. The project will generate deeper understanding of the proposed approaches, detailed and unique high fidelity data, and suitable predictive models.Read moreRead less
Improving the face of cosmetic medicine - an automatic three-dimensional facial analysis system for facial rejuvenation. 'How will I look?' is the most common question to cosmetic doctors from patients considering facial rejuvenation. This project will answer this question for the first time by providing patients with a three-dimensional model of their post-treatment face as well as informing cosmetic doctors exactly how to achieve the patient's desired face.