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Research Topic : Applications in physical sciences
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  • Researchers (10700)
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  • Active Funded Activity

    Australian Laureate Fellowships - Grant ID: FL220100020

    Funder
    Australian Research Council
    Funding Amount
    $2,647,737.00
    Summary
    Unveiling the Winds of Star-Forming Galaxies. This project seeks to resolve an outstanding problem in the formation of cosmic structure: what is the nature of galactic winds, and what physical mechanisms are responsible for driving them? Answering these questions requires computer simulations of greater resolution than have previously been possible, coupled to next-generation telescopic observations. This research aims to develop novel methods to enable the required simulations, leveraging new h .... Unveiling the Winds of Star-Forming Galaxies. This project seeks to resolve an outstanding problem in the formation of cosmic structure: what is the nature of galactic winds, and what physical mechanisms are responsible for driving them? Answering these questions requires computer simulations of greater resolution than have previously been possible, coupled to next-generation telescopic observations. This research aims to develop novel methods to enable the required simulations, leveraging new hardware architectures at Australian supercomputer facilities, and to use these approaches to solve a major open problem in astrophysics, open new frontiers in simulation, and multiply the return on Australia's investment in both computer facilities and telescopes that will study galactic winds.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240100963

    Funder
    Australian Research Council
    Funding Amount
    $510,261.00
    Summary
    Congestion control in complex networks with higher-order interactions. Traffic congestion significantly costs the Australian economy and environment. This project aims to develop ground-breaking network models of urban traffic systems to build a new congestion control framework. The purpose of network modelling is to capture the interdependence between different parts of traffic systems, which facilitates studying congestion cascade within the network. The project expects to generate next genera .... Congestion control in complex networks with higher-order interactions. Traffic congestion significantly costs the Australian economy and environment. This project aims to develop ground-breaking network models of urban traffic systems to build a new congestion control framework. The purpose of network modelling is to capture the interdependence between different parts of traffic systems, which facilitates studying congestion cascade within the network. The project expects to generate next generation of network models for more effective congestion control. Expected outcomes include novel congestion control technologies that adjust traffic signals in real-time to optimally utilise the available road space. This should provide significant economic and environmental benefits to Australians by easing traffic jams.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT120100008

    Funder
    Australian Research Council
    Funding Amount
    $702,856.00
    Summary
    The stability and predictability of the Southern Hemisphere coupled ocean-atmosphere climate system. Our ability to adapt to and manage the effects of a changing climate is limited by our understanding of the ocean's response to changes in the atmospheric circulation. This project will establish the basis for the predictability of the climate system and provide state-of-the-art forecasts for climate adaptation.
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    Funded Activity

    Discovery Projects - Grant ID: DP110102068

    Funder
    Australian Research Council
    Funding Amount
    $390,000.00
    Summary
    Rogue waves in oceans and optical fibres. Rogue waves can sink large ships in the ocean. They appear more commonly than previously thought. Optical rogue waves, the laboratory counterparts of extreme ocean waves, will allow the project to study the main features of the phenomenon, provide the theoretical explanation for their existence and potentially help to eliminate these catastrophic events.
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    Funded Activity

    Discovery Projects - Grant ID: DP140100265

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Rogue waves in realistic situations. Rapid progress in rogue wave research internationally requires the further development of an accurate theory of extreme waves in deep water and in optical fibers. Such progress is a necessity for our ability to predict their appearance in the ocean or their use in optics. This project will enhance the modelling of extreme waves by taking into account higher order effects such as third order dispersion, self-steepening and time delayed response, as well as dis .... Rogue waves in realistic situations. Rapid progress in rogue wave research internationally requires the further development of an accurate theory of extreme waves in deep water and in optical fibers. Such progress is a necessity for our ability to predict their appearance in the ocean or their use in optics. This project will enhance the modelling of extreme waves by taking into account higher order effects such as third order dispersion, self-steepening and time delayed response, as well as dissipative and higher order nonlinear terms. These are essential for a precise description of both giant waves in the ocean and strong pulses in optics.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE140100620

    Funder
    Australian Research Council
    Funding Amount
    $395,220.00
    Summary
    Inference, control and protection of interdependent spatial networked structures. Networked structures are everywhere and modern societies largely depend on their proper functioning. Some of these networks are spatial with each node having a geographical tag. Examples include power grids, the internet and transportation networks. These networks are often interdependent where their functioning depends on each other. This project will establish a mathematical framework to efficiently observe and c .... Inference, control and protection of interdependent spatial networked structures. Networked structures are everywhere and modern societies largely depend on their proper functioning. Some of these networks are spatial with each node having a geographical tag. Examples include power grids, the internet and transportation networks. These networks are often interdependent where their functioning depends on each other. This project will establish a mathematical framework to efficiently observe and control interdependent spatial networks and develop design strategies in order to maximise residency of spatial networks against catastrophic failures in their components. The outcomes of the project will protect the Australian power grid and transportation networks against random and intentional failures.
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    Funded Activity

    Linkage Projects - Grant ID: LP0882156

    Funder
    Australian Research Council
    Funding Amount
    $78,648.00
    Summary
    Spectroscopy of complex and biological micro-objects for biosensing applications. The optically based test for specific DNA binding resulting from the conclusion of this project is of great potential benefit to all Australians as DNA is the building block of all living organisms. The technique developed and resulting biosensor will provide an invaluable tool for the determination and analysis of specific DNA reactions. The general technique developed for the genetic targeting of specific DNA rea .... Spectroscopy of complex and biological micro-objects for biosensing applications. The optically based test for specific DNA binding resulting from the conclusion of this project is of great potential benefit to all Australians as DNA is the building block of all living organisms. The technique developed and resulting biosensor will provide an invaluable tool for the determination and analysis of specific DNA reactions. The general technique developed for the genetic targeting of specific DNA reactions makes the detection of diseases and toxins like Chlamydia and anthrax, for example cheap, quick and accurate, keeping Australian's healthy, and strengthening national security.
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    Funded Activity

    Discovery Projects - Grant ID: DP0662961

    Funder
    Australian Research Council
    Funding Amount
    $190,000.00
    Summary
    Synchrotrons, wavelet analysis and novel imaging techniques - applying physics tools to the war against breast cancer. Breast cancer leads to the second highest number of person-years of life lost due to cancer in Australia, with little known about its transport around the body. Current screening methods for breast cancer are neither 100% sensitive or specific and are heavily dependent upon expert training. This project will contribute by yielding valuable information on the transport of breast .... Synchrotrons, wavelet analysis and novel imaging techniques - applying physics tools to the war against breast cancer. Breast cancer leads to the second highest number of person-years of life lost due to cancer in Australia, with little known about its transport around the body. Current screening methods for breast cancer are neither 100% sensitive or specific and are heavily dependent upon expert training. This project will contribute by yielding valuable information on the transport of breast cancer and contribute to the development of an automated diagnostic method, with the possibility of its application to other diseases. The project will also involve members of the regional community, train regional scientists and provide synchrotron experience for Australian scientists in time for Australia's first synchrotron.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190101889

    Funder
    Australian Research Council
    Funding Amount
    $339,000.00
    Summary
    Fractional dynamic models for MRI to probe tissue microstructure. This project aims to develop new mathematical tools for mapping tissue microstructural properties via the use of space-time fractional calculus methods. In magnetic resonance imaging, mathematical models and their parameters play a key role in associating information between images and biology, with the overall aim of producing spatially resolved maps of tissue property variations. However, models which can inform on changes in mi .... Fractional dynamic models for MRI to probe tissue microstructure. This project aims to develop new mathematical tools for mapping tissue microstructural properties via the use of space-time fractional calculus methods. In magnetic resonance imaging, mathematical models and their parameters play a key role in associating information between images and biology, with the overall aim of producing spatially resolved maps of tissue property variations. However, models which can inform on changes in microscale tissue properties are lacking. The tools developed by this project will be used to generate new magnetic resonance image based maps to convey information on tissue microstructure changes in the human brain. Additionally, the mathematical tools developed will be transferable to other applications where diffusion and transport in heterogeneous porous media play a role.
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    Funded Activity

    Discovery Projects - Grant ID: DP180101991

    Funder
    Australian Research Council
    Funding Amount
    $357,072.00
    Summary
    Mathematical model reduction for complex networks. This project aims to develop new mathematical methodology to describe the collective behaviour of large networks of oscillators with parameters called collective coordinates. This will allow for the quantitative description of finite-size networks as well as chaotic dynamics, which are both out of reach for current model reduction methods. The project will apply methodology to understand the causes of, and ways to prevent, glitches and failure i .... Mathematical model reduction for complex networks. This project aims to develop new mathematical methodology to describe the collective behaviour of large networks of oscillators with parameters called collective coordinates. This will allow for the quantitative description of finite-size networks as well as chaotic dynamics, which are both out of reach for current model reduction methods. The project will apply methodology to understand the causes of, and ways to prevent, glitches and failure in the emerging modern decentralised power grids. This will develop a framework to address this question, tailored to deal with the hitherto uncharted case of finite-size networks.
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