College of Computing · UM6P
We compute flows that shape the future.
FluidSim Lab develops high-fidelity numerical methods and massively parallel software to understand turbulent, reactive and multiphase flows.
Our mission
From fundamental physics to predictive engineering
At FluidSim Lab, we work at the intersection of computational fluid dynamics, applied mathematics and high-performance computing. Our goal is to make scale-resolving simulation both more accurate and more practical for clean energy, propulsion and advanced aerodynamic systems.
Research themes
A connected computational programme
Turbulence & high-speed flows
DNS and LES of compressible turbulence, shock–turbulence interactions and highly underexpanded jets.
Multiphase flows
Mesoscale fluidisation, particle-laden turbulence and coupled LES–DEM simulation.
Reactive flows
High-fidelity modelling of combustion, mixing and multicomponent transport in extreme regimes.
Scientific computing
High-order discretisations, robust shock-capturing schemes and GPU-accelerated parallel solvers.
Selected work
Current research directions
Wind energy and turbine-array optimisation
We connect unsteady blade-scale flow structures to turbine and farm performance, combining high-fidelity simulation with optimisation and data-driven modelling.
Related publications
Turbulence and shocks in high-speed flows
Massively parallel simulations reveal how compressibility and turbulent fluctuations alter shock dynamics, mixing and thermodynamic statistics.
View simulations
Particle-laden and fluidised flows
Coupled LES–DEM methods help us understand particle clustering, transport and turbulence modulation in dense suspensions.
Meet the researchers
High-order methods for conservation laws
We design accurate, stable algorithms that preserve smooth flow structures while robustly resolving shocks and complex immersed boundaries.
Explore our teaching