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-state physics, fluid dynamics, solid-dynamics, and fracture/degradation; all in a highly transient and non-linear system. In this project we will extend multi-component, multi-phase field frameworks
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project offers a unique opportunity to develop autonomous microswimmers, which are bioinspired structures at the micrometre scale that can propel themselves through fluids, mimicking natural swimming
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. It will involve the use of open-source computational fluid dynamics (CFD) codes, turbulence modelling and the application of different near-wall treatments. It will also require the development of good
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areas. Cranfield is part of the national testbed for 6G, researching in the following areas of interest: Real-time specification of 6G telecommunication and edge computing services using Large Language
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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“lattice” version of space and time, similar to the finite difference approach in computational fluid dynamics. Using this Lattice QCD method, Centre Vortex fields will be analysed to understand particles
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team tackling major challenges facing the world’s population in global sustainability and wellbeing as part of the QUEX Institute. The joint PhD programme provides a fantastic opportunity for the most
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Computational Fluid Dynamics (CFD) and Conjugate Heat Transfer (CHT) modelling, which captures both the fluid & solid domains, as required to develop this understanding for engine-representative geometries and
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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple