The niche of the Scientific Computing Group (SC) is the implementation of contemporary, cutting-edge research from physical sciences (including applied mathematics, numerical analysis and fundamental physics) and contemporary high-performance computing (HPC) methodologies, in technology, engineering and applied science applications.
Our methodologies include:
- high-resolution, shock-capturing Riemann problem-based numerical schemes,
- mesh generation and moving boundaries using Cartesian cut-cell and ghost-fluid approaches,
- hierarchical, structured adaptive mesh refinement,
- parallel computing using MPI and algorithm/code implementations on graphical processing units (GPGPUs).
Research is funded mainly by industrial projects which include companies such as ORICA Mining Services, Schlumberger Cambridge Research, Boeing Research and Technology, Jaguar Land Rover, AWE Aldermaston and BAE Systems. The projects include a wide range of topics in pure and applied physics including the determination of equations of state for hydrocodes by means of ab-initio atomic-level modelling, atmospheric dispersion of pollutants, anti-icing of aircraft, heavy oil recovery, coupled reactive two-phase flow and elastoplastic material algorithms, advanced vehicle simulation and many others of importance for industry.
The Group also supports a Masters (MPhil) degree on Scientific Computing and an advanced training programme which includes short courses and summer schools at a national and international level, such as the EPSRC Autumn Academy on High Performance Computing and the NCAS (National Centre for Atmospheric Science) Climate Modelling Summer School.