Projects
Please note that the PhD projects listed are examples of projects offered to current CDT students and as such are not generally available to prospective students.
Physics-informed deep learning and field experiments for dynamic reactive fluids (carbon, nutrients and water flow) in agricultural soils
Artificial Intelligence have attracted considerable attention from researchers in environmental fluid dynamics over the last decade, especially Artificial Neural Networks (ANN) which can provide a...
Physics informed machine learning applied to geothermal energy
Decarbonising space heating is a central focus of the UK’s goal to attain net zero emissions by 2050. One promising source of zero-carbon heat is...
Numerical Simulation of Polymer-Particle Adsorption and Flocculation Dynamics for Nuclear Waste Separations
The addition of small concentrations of high-molecular-weight polymers to particle-laden flows to separate non-settling fine solids from aqueous suspensions is a promising method to instigate...
Mixed precision, approximate computing, and data compression for computational fluid dynamics
Figure 1: (a) NVIDIA A100 (source of imge of NVIDIA A100). (b) Turbulent flow simulations using GPUs and LBM-based CFD Computer hardware is changing noticeably...
Machine learning (ML)-based intelligent CFD simulation for interactive design exploration of built environments
Understanding the effect of airflow in indoor environments is of great interest due to its close relationship to occupant’s safety, thermal comfort, energy and infection...
Laminar Drag Reduction and Anti-fouling Behaviour of Biomimetic Nanostructured Surfaces
Surface of most natural plant leaves, animal skins and insect bodies are covered by ordered micro- and nanoscale structures with various morphologies. Understanding the performance...
Investigating the effects of climate change on High Speed Rail using CFD
High speed rail is a sustainable mode of transport that has the potential to help meet global ‘net zero’ targets. However, although train movement is...
Interaction of topography with rotation, convection and magnetic fields
Understanding convection is important in a range of geophysical problems. For example, in the interior of the Earth in the fluid outer core or in...
Hardware agnostic multi-layer abstraction based solver for Computational Fluid Dynamics (CFD)
Computational scientists are typically not expert programmers and thus have to work with easy to use programming languages. However, they have very high-performance requirements due...