Information geometric theory of neural information processing and disorder
This project aims to develop a new model-free information geometric theory of neural information processing for the practical purpose of improved disorder diagnosis by overcoming various current challenges.
Datamining medieval medical texts for modern medicines
Combinations of natural compounds could be the result of empirical work by premodern physicians to produce efficacious remedies. However, quantitative analyses of how medieval physicians used the materials available to them to create remedies.
Variability and Self-Organisation in Stellar Evolution
Ever improving observational technologies have enabled access to the complex and rich dynamics of solar/stellar surface phenomena on a broader range of time/length scales, revealing new features that cannot be explained by existing theories.
Multiphase Flow Metrology in Oil & Gas Production (MULTIFLOWMET II)
Multiphase flow measurement is a fundamental enabling metrology in subsea oil and gas production. However, field measurements exhibit high measurement uncertainty, costing industry billions of euros in financial exposure and production inefficiencies.
Experimental studies on improvement of efficiency of aluminium reduction cells
This project targets one of the issues occurring during the production of primary Aluminium.
Special Interest Group in Particulate Matter Filtration Flows in Automotive and Marine Applications
This Special Interest Group (part of the UK Fluids network) brings together industry, academia and policy makers to boost research in filtration flows in automotive and marine applications.
Maths Meets Myths: research from the statistical physics group at Coventry University
Maths Meets Myths is a new way of using statistical physics in connection with humanities. It helps us to trace commonalities and differences between characters in myths and legends across cultures, and visualise networks to see nuances in social systems.
Hysteresis of two-phase flows in porous and fractured media: From micro-scale Haines jumps to macro-scale pressure-saturation curves
Fluid displacement plays a key role in a wide range of applications, including agriculture and hydrology, biology, energy and environmental engineering, and industrial processes such as printing and curing of cement and foods.
Nonlinear flow states and turbulence produced by helical magnetorotational-type instabilities (Solar Studies)
To investigate the origin of turbulence in hydrodynamically stable astrophysical flows by developing a nonlinear stability theory of helical magnetorotational instability (HMRI)
Modelling turbulence induced by hydrodynamic instability in differentially-rotating flow
Rotating flow is also important in industrial processes to produce homogenised products by efficient turbulent mixing. Rotation profiles of fluid flow are often differential, i.e. the angular speed varies with radius from the rotation axis.
Petroleum Reservoir Engineering Simulation Models
Over the years key models have become unavailable as the websites that supported them have been decommissioned. The objective is to make them available to the research community at a single location.
CO2_BioMaCaS. Development and evaluation of nanomaterials obtained from Colombian organic waste and biomass for enhanced CO2 capture and geo-storage process at shallow reservoirs conditions (e-CCS) or conventional CCS at deep reservoir conditions (CCS)
The PI team Phenomena Surface-Michael Polanyi group has recently discovered an enhanced configuration of CCS that has advantages.
3D Printed Cooling channels for extended tooling life
The objective of the project is to develop a full thermal and optimization model to design cooling channels in a direct metal laser sintering (DMLS) steel tool for high pressure aluminium die-casting (HPADC).
JRP-g15 LNG III - Metrology for LNG III – Metrological support for LNG and LBG as a transport fuel
The overall aim of the project is to enable the large scale roll-out of liquefied natural gas (LNG) and liquefied biogas (LBG) as a transport fuel.
Phase diagram of the random-field Potts model
The Royal Society Newton Fellowship is aimed at non-UK scientists who wish to conduct research in the UK. Dr Manoj Kumar, Jawaharlal Nehru University, India, will be working with Dr Martin Weigel in the field of computational and theoretical condensed matter physics.
