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the development and application of digital process modelling tools to investigate the influence of reactor design and processing conditions on the crystal properties. In this project, precipitation process models
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sludge rheology, it will be possible to design processes that can handle variable waste streams and produce encapsulated wastes that are safe for long term storage. The project will contribute to the clean
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on agitated tubular reactors. The project will investigate new mechanical designs for exchange units, as well as characterise the liquid fluid dynamics and develop new ion exchange materials, based on 3D
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, this project with apply the result to further train neural network-based machine learning models, with the aim of developing predictive tools for the rational design of future materials. Please state your entry
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Engineering at the University of Leeds (UoL) and by Diamond Light Source (DLS). The successful student will spend 50% of their time at the UoL and the other 50% across crystallography beamlines I11 (High
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. Being able to predictively design particle properties is of great economic value and is applicable to a range of industries such as pharmaceuticals, agrochemical, additives, cosmetics and food
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year for 3.5 years is also available to previous graduates of the University of Leeds. Lead Supervisor’s full name & email address Dr William Collinge – [email protected] Co-supervisor name(s) Dr
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to minutes per ligands. The most successful ligands identified in silico will be prepared and validated experimentally. Further refinement of the lead ligands through rational design, computational evaluation
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systems to meet stringent emission legislation and simultaneously reduce carbon emissions. The project will use a novel patented catalyst (for NOx and CO reduction) developed at the University of Leeds and
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– [email protected] Project summary Drug discovery pipelines are driven by iterative cycles in which molecules are designed, synthesised, purified and tested. A remarkably limited toolkit of reactions