Scientific computing and numerical modelling
Scientists conduct a vast amount of research using computers. The development of models and algorithms to mimic complex physical, biological and financial systems relies on sound mathematical formulations.
Examples of our current research include:
- modelling of chemical kinetics
- gene splicing
- fracture of composites
- pricing financial bonds
- computational neuroscience
- geophysical modelling and data inversion
Mathematics also plays a central role in the ongoing development of efficient algorithms that underpin the success of modern computing.
We have expertise in this area in:
- molecular dynamics
- visualization
- parallel algorithms
- stochastic modelling
- grid computing
- traditional eigenvalue and linear system solvers
- numerical solution methods of differential equations
Available projects
See our scientific computing and numerical modelling projects.
