Les Houches School of PhysicsSince 1951

Our current understanding of the Earth system is challenged by the complexity of the processes we seek to unravel. Over the past two decades, advances in instrumentation have greatly improved our ability to observe natural phenomena with unprecedented precision. At the same time, the growing volume of data has led to the development of curated repositories that now serve the entire scientific community. Yet, our ability to fully interpret and model these high-resolution observations remains limited by the lack of a comprehensive formalism capable of capturing the multi-scale and multi-physics couplings revealed by these data.Since the 1990s, IPGP played a pioneering role in the development of inversion methods. It has also been a major driver in the creation of database infrastructures that provide access to a wide range of Earth system data (Gaia Data and Form@Terre projects).

New Challenges in Turbulence Research (NCTR) is an international thematic school devoted to the physics of fluid turbulence. This 8th edition, "Moving through Turbulence", will focus on the interaction between turbulent flows and objects of various nature.The program will cover four major themes at the forefront of current research: odd-shaped particles, surfaces and interfaces, flexible and mobile structures, living organisms.

Low-dimensional quantum fluids exhibit a wealth of non-equilibrium phenomena arising from enhanced correlations and constraints on dynamics. This workshop will focus on recent experimental and theoretical advances in out-of-equilibrium dynamics of one- and two-dimensional quantum fluids, including atomic and photonic platforms. Tutorials will provide foundational tools, while invited seminars will highlight breakthroughs in non-linear hydrodynamics, thermalisation, driven dynamics and quantum mixtures.

Numerical Astrophysical Fluid Dynamics at the Exascale Era is a two-week doctoral training school at Les Houches preparing young researchers for next-generation supercomputers. With GPU-accelerated Exascale machines launching in Europe in 2026–2027, participants will learn to harness cutting-edge simulation codes (AMR, SPH, PIC, spectral) through hands-on tutorials and projects, while also addressing energy efficiency in scientific computing.