Domaines
Condensed matter
Soft matter
Physics of liquids
Low dimension physics
Hydrodynamics/Turbulence/Fluid mechanics
Type of internship
Théorique, numérique Corporate activity
Description
We aim at exploring the use of tensor-networks, developed within the context of quantum many-body physics, to reduce the memory footprint of lattice-based methods for fluid dynamic simulation.
Contact
Daniel Huerga