Our broad field of methods and applications cover most areas of modern statistical physics, from classical and quantum systems, through mesoscopic systems, polymers and proteins, to bioinformatics and beyond the classical realm of the physical sciences. Likewise, we employ a wide array of techniques to tackle the statistical physics of these systems, ranging from field theory and perturbative techniques, to the renormalization group, to large-scale Monte Carlo simulations, to heuristic optimization approaches. Read on for more details.

Our work in fluid dynamics combines experimental numerical and theoretical approaches to tackle questions of fundamental research intertwined with problems taking their roots in concrete situations, whether natural or industrial. Areas we are particularly interested in include, but are not limited to convection, turbulence, transitional flows and magnetohydrodynamics. These are not only fascinating themes of research in their own right, they are highly also relevant to the metallurgy or the oil industry, with whom we work in collaboration. They also concern the dynamics of planetary atmospheres and of the Earth deep interior, which we are attempting to model experimentally. Read on for more details.