UKRI: Science case for UK Supercomputing
The UK Research & Innovation (UKRI) Science case for UK Supercomputing presents a community case for investment in Supercomputing in the UK, drawing on examples spanning the full breadth of science supported by UKRI.
Supercomputing is a key component of scientific research, that enables the UK research community towards an increased research potential/capability and scientific productivity. This Science case developed by experts within the supercomputing community, proposes where investment is required to provide the appropriate computing resources along with the support for activities such as novel algorithm development and software development.
The Science case concluded that technological advances, coupled with algorithm and software development, will offer an enormous opportunity for the UK research community to address research challenges which until now have been beyond reach.
The Science case includes highlights from the following research areas:
- Expanding the frontier of fundamental sciences: New insights into evolution of the Universe and the fundamental properties of matter.
- Engineering and materials: Design of efficient and environmentally friendly propulsion mechanisms; discovery of new materials for renewable energy generation.
- Climate, weather and earth sciences: Increased understanding of climate risk, better forecasting and mediation of geological hazards.
- Digital humanities and social sciences: Increased ability to model and analyse data recording human life, behaviour and society, enabling improved public policy and supporting creative industries.
- Mathematics and science of computation: Create new mathematical thinking for algorithms to advance our understanding and capability to use modelling and simulation on emerging computing technologies.
- Computational biology: Computational biology using HPC for accurate simulations of molecules and cells.
- Computational biomedicine: Modelling biomedical processes across all scales within the human body to improve scientific understanding in medicine, healthcare and clinical practice.