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Australian State/Territory : ACT
Field of Research : Materials engineering
Research Topic : Mechanisms
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP230101739

    Funder
    Australian Research Council
    Funding Amount
    $466,000.00
    Summary
    Advanced Materials from Automated Synthesis of Sequence-Defined Polymers. The project aims to develop industrially scalable and environmentally friendly methods for synthesis of sequence-defined multiblock copolymers (polymer chains containing segments of different polymer types) using automated synthesis methods. The materials to be explored will be largely based on renewable biomass-derived monomeric building blocks. Such polymers are able to undergo microphase separation into spatially period .... Advanced Materials from Automated Synthesis of Sequence-Defined Polymers. The project aims to develop industrially scalable and environmentally friendly methods for synthesis of sequence-defined multiblock copolymers (polymer chains containing segments of different polymer types) using automated synthesis methods. The materials to be explored will be largely based on renewable biomass-derived monomeric building blocks. Such polymers are able to undergo microphase separation into spatially periodic compositional patterns, thereby providing access to a vast range of nano-engineered materials. This would enable design and synthesis of new advanced materials, making use of renewable resources and supporting the circular economy, with diverse potential applications ranging from nanomedicine to materials science.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240100687

    Funder
    Australian Research Council
    Funding Amount
    $521,850.00
    Summary
    Tuning catalyst reaction environments towards photoreforming of wastewater. This project aims to combine high-throughput computation and machine learning to screen photocatalysts more thoroughly for photoreforming of wastewater. The reaction environments effects on surface active units will be tailored for COx-emission-free selective organic synthesis with hydrogen production from organic-contained wastewater at ambient conditions. The project expects to expand our knowledge on the fast, reliabl .... Tuning catalyst reaction environments towards photoreforming of wastewater. This project aims to combine high-throughput computation and machine learning to screen photocatalysts more thoroughly for photoreforming of wastewater. The reaction environments effects on surface active units will be tailored for COx-emission-free selective organic synthesis with hydrogen production from organic-contained wastewater at ambient conditions. The project expects to expand our knowledge on the fast, reliable screening strategies, and the relationship between electric field (or lattice strain) and reaction pathways. This project will develop a photoreforming system for selective co-production of organics and hydrogen from wastewater, benefiting sustainable technologies development for chemical synthesis and hydrogen economy.
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