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Research Topic : Industrial
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  • Funded Activity

    Discovery Projects - Grant ID: DP0210378

    Funder
    Australian Research Council
    Funding Amount
    $187,118.00
    Summary
    Preparing Carbon Molecular Sieve Membrane (CMSM) for Olefin/Paraffin Separation. Carbon molecular sieve membrane (CMSM) presents superior selectivity and stability for many gas separation processes. This technology is energy saving, environmental friendly and with minimal operating cost. The project will develop CMSMs for the separation of olefin/paraffin, particularly, the propane/propylene mixture which is currently separated by the energy intensive cryogenic distillation in industry. The pro .... Preparing Carbon Molecular Sieve Membrane (CMSM) for Olefin/Paraffin Separation. Carbon molecular sieve membrane (CMSM) presents superior selectivity and stability for many gas separation processes. This technology is energy saving, environmental friendly and with minimal operating cost. The project will develop CMSMs for the separation of olefin/paraffin, particularly, the propane/propylene mixture which is currently separated by the energy intensive cryogenic distillation in industry. The project involves both experimental works and theoretical studies and will provide: (1) techniques for preparing CMSMs for olefin/paraffin separation; (2) methods characterizing the micro-structure of CMSMs; (3) mathematical models predicting multicomponent gas permeation/separation properties on CMSMs; (4) effect of impurities on the separation processes.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT220100713

    Funder
    Australian Research Council
    Funding Amount
    $1,083,986.00
    Summary
    Synthetic genes as reference standards for biology and biomanufacture. Reference standards are needed to improve the measurement of biology and the reliability of biomanufacturing processes. This project aims to engineer synthetic genes capable of acting as reference standards for DNA, RNA and protein. The synthetic genes can be transcribed into mRNA standards, and translated into protein standards, and be further integrated into living cells to measure internal cellular processes. The outcomes .... Synthetic genes as reference standards for biology and biomanufacture. Reference standards are needed to improve the measurement of biology and the reliability of biomanufacturing processes. This project aims to engineer synthetic genes capable of acting as reference standards for DNA, RNA and protein. The synthetic genes can be transcribed into mRNA standards, and translated into protein standards, and be further integrated into living cells to measure internal cellular processes. The outcomes include a unified understanding of gene expression and more accurate next-generation sequencing and mass-spectrophotometry technologies. The synthetic genes also allow standardisation and optimisation of biomanufacturing processes that will produce mRNA and biologics products at a higher purity and lower cost.
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    Funded Activity

    Discovery Projects - Grant ID: DP0208257

    Funder
    Australian Research Council
    Funding Amount
    $120,000.00
    Summary
    A Method for Analysis of Complexity in Cognitive Processes: Applications to Prediction of Industrial Workloads. The project will develop a method for analysis of cognitive complexity in human and animal cognition. It will contribute to basic research because it will enable equivalences and relative complexities of cognitive functions to be determined, independent of content or methodology. It will have applications to education, because it enables complexities of concepts to be recognised and a .... A Method for Analysis of Complexity in Cognitive Processes: Applications to Prediction of Industrial Workloads. The project will develop a method for analysis of cognitive complexity in human and animal cognition. It will contribute to basic research because it will enable equivalences and relative complexities of cognitive functions to be determined, independent of content or methodology. It will have applications to education, because it enables complexities of concepts to be recognised and appropriate pedagogies determined. It also has application to human factors, especially industrial performance and decision making. It will advance on currrent methods because it enables workload to be analysed and predicted, so that it can be factored into job and system design.
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