SCD Impact - CoSeC Case Studies

Impact - CoSeC Case Studies

Focussing on the science and engineering produced by communities supported through CoSeC

Efficiently and discretely modelling shallow water flows
UKCOMES community software is developed to simulate the flow behaviour of a tsunami inundation
CoSeC Impact Award 2021: Case Studies
The four top-placed winning applications are now available as case studies
Using an Agile Waterfall hybrid to manage a major Collaborative Computational Project
After more than four decades of work, CCP4 is still evolving to support researchers in protein crystallography.
CoSeC Impact Award 2020: Case Studies
The top-three winning applications are now available as case studies
Simulation software fuels workflow efficiency in the nuclear industry
Computational scientists from the Science and Technology Facilities Council and Queen Mary University, London, have developed new software that helps the nuclear industry to manage the safety of radioactive materials and streamline workflows.
New analytical technique to unravel degradation mechanisms of electro-active materials and accelerate improvements of battery technologies
The Scientific Computing Department have been collaborating with scientists at the University of Liverpool and the National Tsing Hua University of Taiwan to develop a new research methodology that provides new insights into ions within battery material.
CCP4 Crystallographic Software Reveals Route to Mutability of Enzymes
It was cited in the supporting background report for work that was awarded the Nobel Prize in Chemistry, 2018.
CCP5 Software DL_POLY contributes to explanation of archeological quandary
by confirming that fossilized ostrich eggshells preserve proteins bound to the solid surface of the eggshell.
Longbow - lowering technological barriers in advanced computing
Scientists can now concentrate on advanced science and spend less time dealing with basic computing needs, thanks to an innovative tool developed by experts from STFC's Scientific Computing Department.
Machine learning for new drug discovery
Finding suitable compounds for use in the development of new drugs is expensive and time-consuming, but researchers from STFC's Scientific Computing Department are working on new ways to improve both cost and time.
Growth of Nano-Domains in Gd-CeO2 Mixtures: Hybrid Monte Carlo Simulations
Due to growing concern about global warming and dwindling supplies of fossil fuels, increasing interest is being directed towards alternative sources of energy.
NMR Spectroscopy- Combining computation and experiment
Nuclear Magnetic Resonance (NMR) has historically been a fundamental technique to explore the molecular structure of new substances.
Task Based Parallelism with OpenMP : A case study with DL-POLY 4
Our scientists are developing ways to speed-up codes and produce faster and more efficient processing.
DL_POLY/DL_FIELD/DL_ ANALYSER – An Integrated Software Engine for Molecular Simulations
Computational scientists at the Daresbury Laboratory have developed and integrated a series of software packages to investigate the behaviour of materials at the atomic scale.
Electronic Excitations in the Condensed Phase
The interaction of electromagnetic radiation (visible light, UV and IR radiation, X-rays, etc.) with matter is governed by the rules of quantum mechanics.
Building Better Tools for Tomography
The Visual Analytics and Imaging Systems group supports two Collaborative Computational Projects (CCPs) for tomography (imaging by sections) in material science and medical imaging.