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Research Topic : Mathematical Software
Socio-Economic Objective : Chemical sciences
Australian State/Territory : SA
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  • Funded Activity

    Discovery Projects - Grant ID: DP0985208

    Funder
    Australian Research Council
    Funding Amount
    $610,000.00
    Summary
    Mathematical and mechanical models in nano-engineering and nanomedicine. The major environmental problems generated from global warming and the major human health problems, like cancer and diabetes, if they are to be solved at all, will most likely be resolved making use of advances in nanobiotechnology. This proposal will position Australia as a leader in the modelling of nanodevices such as gigahertz oscillators, nano-electromagnets, nanosensors, nanosyringes and nanoporous media suitable for .... Mathematical and mechanical models in nano-engineering and nanomedicine. The major environmental problems generated from global warming and the major human health problems, like cancer and diabetes, if they are to be solved at all, will most likely be resolved making use of advances in nanobiotechnology. This proposal will position Australia as a leader in the modelling of nanodevices such as gigahertz oscillators, nano-electromagnets, nanosensors, nanosyringes and nanoporous media suitable for hydrogen storage and gas separation, which will lead to new technologies and commercial spin-offs that will be of major benefit to this country. The applicants will develop a range of topics in nano-engineering and nanomedicine, training a team that will provide the next generation of researchers in these vital areas.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347582

    Funder
    Australian Research Council
    Funding Amount
    $500,000.00
    Summary
    South Australian Supercomputing Facility. This grant will fund the construction and installation of a state-of-the-art, heterogeneous supercomputing facility to be named the "South Australian Supercomputing Facility". The facility will be available to all of the State's academic and industrial researchers with advanced high-performance computing needs in a transparent and equitable way. Areas of research excellence to be supported by the facility include but are not limited to: research in comp .... South Australian Supercomputing Facility. This grant will fund the construction and installation of a state-of-the-art, heterogeneous supercomputing facility to be named the "South Australian Supercomputing Facility". The facility will be available to all of the State's academic and industrial researchers with advanced high-performance computing needs in a transparent and equitable way. Areas of research excellence to be supported by the facility include but are not limited to: research in computational physics, computational chemistry, geophysics, computational fluid dynamics, oil and water resource modelling, plant science, bio-informatics, space-environment research, and high-performance, parallel, and grid-based computing.
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    Funded Activity

    Discovery Projects - Grant ID: DP0774311

    Funder
    Australian Research Council
    Funding Amount
    $392,141.00
    Summary
    Modelling of multiscale systems in engineering and science supports large-scale equation-free simulations and analysis. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are known, but the closures to translate microscale .... Modelling of multiscale systems in engineering and science supports large-scale equation-free simulations and analysis. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are known, but the closures to translate microscale knowledge to a system level macroscopic description are rarely available in closed form. Our novel, equation free, computational methodologies will circumvent this stumbling block, and promises to radically change the modeling, exploration and understanding of complex system behavior. We continue to develop this powerful computational methodology.
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