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Scheme : Discovery Projects
Australian State/Territory : VIC
Research Topic : Particle physics
Australian State/Territory : SA
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  • Researchers (21)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP180102209

    Funder
    Australian Research Council
    Funding Amount
    $664,320.00
    Summary
    Optimising the search for the next discovery in particle physics. This project aims to uncover the new theory of particle physics that can simultaneously explain the Higgs mechanism, the presence of dark matter and the current abundance of matter over antimatter in our universe. This is not possible with current theories. This project aims to find viable theories using a wide range of data from particle astrophysics and collider experiments. With the resulting knowledge, this project aims to des .... Optimising the search for the next discovery in particle physics. This project aims to uncover the new theory of particle physics that can simultaneously explain the Higgs mechanism, the presence of dark matter and the current abundance of matter over antimatter in our universe. This is not possible with current theories. This project aims to find viable theories using a wide range of data from particle astrophysics and collider experiments. With the resulting knowledge, this project aims to design, optimise and implement better searches for new physics at the Large Hadron Collider (LHC). The new LHC results will be used to either determine the correct explanation for any new discoveries or alternatively to provide definitive limits on new theories. The results will be used to make high impact statements on the design of future facilities.
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    Funded Activity

    Discovery Projects - Grant ID: DP120100901

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Nanodiamond in glass: a new approach to nanosensing. This work will develop optical materials enriched with diamond nanoparticles. This will enable the magnetic field sensitivity of diamond nanoparticles to be combined with the capacity of micro/nanostructured optical fibres to enhance the interaction of light with matter. The outcome will be tools for probing biological processes on the nanoscale.
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    Funded Activity

    Discovery Projects - Grant ID: DP1094454

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    A new angle on the coalescence of drops. Many processes depend on what happens when drops and/or bubbles collide with each other, or with the surfaces of other materials. Examples include inkjet printing, agricultural spraying, spray coating of paints, pharmaceutical formulation, stability of cosmetics and foodstuffs, formation of froths and foams, and flow of bubbly liquids. To control these processes, we need to understand how and why drops sometimes do and sometimes do not coalesce with each .... A new angle on the coalescence of drops. Many processes depend on what happens when drops and/or bubbles collide with each other, or with the surfaces of other materials. Examples include inkjet printing, agricultural spraying, spray coating of paints, pharmaceutical formulation, stability of cosmetics and foodstuffs, formation of froths and foams, and flow of bubbly liquids. To control these processes, we need to understand how and why drops sometimes do and sometimes do not coalesce with each other or adhere to surfaces. The knowledge gained in this project will enable improvements to be made in the efficiency of processes such as those listed above.
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    Funded Activity

    Discovery Projects - Grant ID: DP140101110

    Funder
    Australian Research Council
    Funding Amount
    $370,000.00
    Summary
    Advanced algorithms for statistical mechanical models. Polymer science, percolation theory and models of magnetism are at the forefront of lattice statistical mechanics and condensed matter theory. Numerical techniques to determine the behaviour of model systems in these areas are predominantly Monte Carlo methods, series generation and analysis, or based on partition function zeroes. New algorithms have been developed for all three methods that are vastly more efficient than their predecessors. .... Advanced algorithms for statistical mechanical models. Polymer science, percolation theory and models of magnetism are at the forefront of lattice statistical mechanics and condensed matter theory. Numerical techniques to determine the behaviour of model systems in these areas are predominantly Monte Carlo methods, series generation and analysis, or based on partition function zeroes. New algorithms have been developed for all three methods that are vastly more efficient than their predecessors. Coupled with the availability of dramatically increased computer power, this project takes advantage of a unique position to make dramatic advances in the afore-mentioned research areas. Furthermore, the methods have wider applicability than those mentioned.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200101217

    Funder
    Australian Research Council
    Funding Amount
    $660,000.00
    Summary
    Design and Fabrication of 2D Hybrid Materials. There are >300 2D materials like graphene with potentially exotic and useful electrooptic and superconductor properties that will drive novel industrial applications. This project aims to use advanced computational and experimental techniques to discover and fabricate new 2D hybrid materials built from different layers of 2D materials. This approach is essential as the number of possible hybrids is huge (millions) and current processes to identify a .... Design and Fabrication of 2D Hybrid Materials. There are >300 2D materials like graphene with potentially exotic and useful electrooptic and superconductor properties that will drive novel industrial applications. This project aims to use advanced computational and experimental techniques to discover and fabricate new 2D hybrid materials built from different layers of 2D materials. This approach is essential as the number of possible hybrids is huge (millions) and current processes to identify and build 2D hybrids are technically challenging and slow. Expected outcomes include defining a new paradigm for efficient identification and synthesis of 2D hybrids with exotic, bespoke properties. The generation of a large database of materials for researchers/industry would be of wide benefit.
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