Our research

The overarching motivation of our research is to develop predictive understanding of complex, nonlinear magnetohydrodynamic (MHD) phenomena and apply these insights to develop reduced physics models, inform design criteria and enable the deployment of fusion as an energy technology. We also work with a cross-institutional team of collaborators to develop and maintain a Julia ecosystem of scalable, high-performance numerical tools for solving a variety of problems in fusion-relevant settings.

What we do.

We are leaders in the development and application of high-fidelity numerical simulations of fusion plasmas to validate design, explain experimental observations and pursue discovery-driven science.

We use these insights to inform the development of design criteria for next-generation devices and develop efficient reduced physics models for fusion plasma optimisation.

We develop fundamental plasma physics theory using multi-scale methods and dynamical systems theory to unravel the complexity of macroscopic plasma physics in the strongly nonlinear regime.