Dr. Kevin Stratford
- Research Theme:
- Condensed Matter and Photonics
- Research Group:
- Soft Matter, Statistical Physics and Biophysics
- Email address:
- (Not provided)
- EPCC, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, United Kingdom
I joined Edinburgh Parallel Computing Centre, an Institute of the School of Physics and Astronomy at The University of Edinburgh, in 2001.
My research interests encompass Computational Physics and sciencetific software development, particularly in the context of High Performance Computing.
I teach an introductory course for undergraduates on scientific programming in Java. I have also provided more advanced courses on programming (Fortran) and parallel computing.
- Hydrodynamics Defines the Stable Swimming Direction of Spherical Squirmers in a Nematic Liquid Crystal DOI, Physical Review Letters, 119, 6 (2017)
- A Lightweight Approach to Performance Portability with targetDP DOI, International Journal of High Performance Computing Applications (2016)
- The 24th International Conference on Discrete Simulation of Fluid Dynamics in Edinburgh, Scotland DOI, Journal of Computational Science, 17, p. 307-308 (2016)
- Hydrodynamic oscillations and variable swimming speed in squirmers close to repulsive walls, Soft Matter, Advance Article (2016)
- Quantitative Morphological Characterization of Bicontinuous Pickering Emulsions via Interfacial Curvatures DOI, Soft Matter, 12, p. 4082-4092 (2016)
- Large Colloids in Cholesteric Liquid Crystals DOI, Journal of Statistical Physics, 161, 6 , p. 1496-1507 (2015)
- Defining the robust behaviour of the plant clock gene circuit with absolute RNA timeseries and open infrastructure DOI, Open Biology, 5, 10 (2015)
- Quantifying flow in variably wet microporous carbonates using object-based geological modelling and both lattice-Boltzmann and pore network fluid flow simulations DOI, AAPG Bulletin, 99, 10 , p. 1 (2015)
- Scaling soft matter physics to thousands of graphics processing units in parallel DOI, International Journal of High Performance Computing Applications, 29, 3 , p. 274-283 (2015)
- targetDP: an Abstraction of Lattice Based Parallelism with Portable Performance DOI, p. 312-315 (2014)