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Supervisors: Prof. Gabriele Sosso, Dr Lukasz Figiel, Prof. James Kermode Project Partner: AWE-NST This project utilises advancing machine learning techniques for simulating gas transport in
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in control systems and fluid-structure interaction. The students will be supervised by Prof Khac Duc Do and the co-CIs of the project. Student type Future Students Faculties and centres Faculty
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simulation PhD-colleague at Leiden University and with your colleagues in the Physics of Complex Fluids (PCF) and Photocatalytic Synthesis groups (PCS) at the University of Twente. Electrochemical processes
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Supervisors: Prof. Julie Staunton, Dr Albert Bartok-Partay Rare earth materials are in increasing demand making good modelling of their electrons important for further development. The elements have
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Supervisors: Dr Emmanouil Kakouris, Prof. James Kermode, Project Partner AWE-NST Find out more: https://warwick.ac.uk/fac/sci/hetsys/themes/projects2025 High-rate ductile fracture, particularly in
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Supervisors: Prof. Reinhard Maurer, Prof. Scott Habershon In drug discovery, millions of molecules need to be screened for their viability as drug candidate, including their synthetic viability
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Supervisors: Dr Raj Pandya, Prof. Nicholas Hine, Prof. Reinhard Maurer While we as humans are used to seconds and hours, electrons and atoms in materials move a whole lot faster around a million
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Supervisors: Prof. Reinhard Maurer (Chemistry), Prof. Richard Beanland (Physics) Understanding how local atomic structure and long-range emergent magnetic and electronic properties in defective 2D
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
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, allows for flexible sampling plans. Prof. Jelle Goeman co-developed the closed testing framework that gives flexibility for defining research questions in a data-dependent way. Thirdly, we add permutation