9:00 Introduction

9:10 A brief introduction to fluid turbulence

In spite of centuries of active research Turbulence remains one of the deepest mysteries of fluid mechanics. The complexity relies on the random and multi-scale nature of the phenomenon. This lecture will review the origin and the characteristics of fluid Turbulence, as well as the phenomenological framework and statistical tools commonly used to describe the phenomenon. These rely on the concept of energy cascade, introduced by L. Richardson in the 1920’s, later refined by A. Kolmogorov, who’s ideas still dominate the Turbulence research community.

11:00 Multiscale approaches for the modelling and simulation of particle laden reactive flows

Dense gas-particle reactors are encountered in many industrial systems involving chemical reactions such as the polymerisation of PE and PP for plastic making, the chlorination of zircon in the metallurgical industry, uranium oxide fluorination in the nuclear power industry, as well as biomass gasification, fossil fuels conversion (chemical looping combustion of coal and gas), or crude oil processing in petroleum refineries by fluid catalytic cracking, amongst many others. The modelling of dense gas-particle reactive flows is a very challenging problem as many physical mechanisms need to be taken into account, in particular the numerous interactions between particles (collisions, agglomeration, attrition), between the particles and the fluid (with mass, momentum and energy transfer), and also between the particles and the walls (frictional bouncing, rough wall surface, deposition and resuspension), all of these being coupled with chemical reactions (gaseous and solid combustion, polymerisation…) This presentation will show how different numerical methods capable of describing the phenomena at the micro, meso and the macro scales, are coupled to provide relevant simulations of processes involving dense gas-particle reactive flows.

17:30   APERITIF & POSTER SESSION

All participants are kindly asked to prepare a poster about their work that will be exposed over the whole school.

Please don't forget to bring your poster with you on Monday morning.

9:00 Introduction

9:10 An introduction to non-Brownian suspension rheology: the role of interparticle contacts

Abstract coming soon

11:00 Particle-scale simulations and constitutive modelling

Abstract coming soon

11:45 What can 3D imaging bring to better understand the rheology of concentrated fibre suspensions?

Abstract coming soon

13:45 High-tech lab courses session I

Over the whole school, the participants will attend 3 out of the 12 proposed lab-courses (on Tuesday Wednesday and Thursday afternoon). Groups of 4-5 participants will be made and each group will be given its planning and location depending on the chosen topic. The lab-courses will be held in parallel sessions at different places on the campus.

09:00 Introduction

09:10 Experimental techniques for turbulent flow diagnostics

Abstract coming sool

11:00 Advanced experimental imaging techniques and quantitative image analysis

Abstract coming sool

11:45 Advanced experimental imaging for coupled processes in porous media

Abstract coming sool

13:30 High-tech lab courses session II

Over the whole school, the participants will attend 3 out of the 12 proposed lab-courses (on Tuesday Wednesday and Thursday afternoon). Groups of 4-5 participants will be made and each group will be given its planning and location depending on the chosen topic. The lab-courses will be held in parallel sessions at different places on the campus.

9:00 Introduction

9:10 Numerical prediction of turbulent flows

This presentation introduces the physical and numerical foundations required to understand and predict turbulent flows. After recalling the key features of turbulence and the Navier–Stokes equations, it highlights the limitations of direct approach (DNS) due to its computational cost. Statistical methods such as RANS are then presented, along with their underlying assumptions and closure models. The course explores small-scale modeling through Large Eddy Simulation (LES), which resolves the main flow structures while modeling the smallest scales. Advantages, limitations, and mesh requirements of these approaches are discussed using practical examples. Then, an overview of hybrid strategies combining RANS and LES approaches are presented. In addition to these established approaches, recent advances leveraging machine learning are presented. These include data-driven subgrid-scale modeling and multi-fidelity simulations. Such developments illustrate how artificial intelligence is reshaping turbulence modeling by complementing physics-based approaches. Overall, this presentation aims to provide students with an integrated understanding of the physical, numerical, and practical aspects of turbulence modeling.

11:00 Molecular Dynamics and Upscaling approaches for sorption in nanoporous media

Water sorption in nanoporous materials is controlled by the interplay between pore structure, surface chemistry, and environmental conditions. Molecular simulations, including molecular dynamics (MD) and Grand Canonical Monte Carlo (GCMC), allow exploration of adsorption mechanisms at the nanoscale, capturing layering, capillary condensation, and cavitation phenomena. These methods provide access to isosteric heats of adsorption, molecular distributions, and how temperature modifies water organization in confined spaces. At the mesoscale, lattice gas density functional theory (DFT) can represent complex pore networks. Parameters such as fluid-fluid and solid-fluid interaction energies are informed by atomistic simulations, ensuring consistency across scales. The resulting adsorption and desorption curves exhibit hysteresis controlled by pore connectivity. Temperature influences the balance between adsorption and desorption, shifting cavitation pressures and modifying hysteresis loops. This talk will give insights into how combining MD simulations with mesoscale statistical approaches can provide a multiscale framework to predict water behavior in nanoporous media.

13:30 High-tech lab courses session III

Over the whole school, the participants will attend 3 out of the 12 proposed lab-courses (on Tuesday Wednesday and Thursday afternoon). Groups of 4-5 participants will be made and each group will be given its planning and location depending on the chosen topic. The lab-courses will be held in parallel sessions at different places on the campus.

From stem cells to structured tissues and organs: how do organoids self-organise and take shape

Sham Tlili
CNRS, Université d'Aix-Marseille

Cell sensitivity to the stiffness of the extra-cellular matrix: from in vitro to in vivo and back

Alice Nicolas
CNRS, NTM - Université Grenoble Alpes

Modeling of soft vascularized tissues: a bi-compartment poromechanical approach

Giuseppe Sciume
I2M - Université de Bordeaux

Engineering and actuating 3D microtissues

Thomas Boudou
CNRS, LIPhy - Université Grenoble Alpes

Collective effects and rheology of bacteria suspensions

Carine Douarche
FAST - Université d'Orsay, Paris

A hydrodynamic toy model for fish locomotion

Bruno Ventéjou
LIPhy - Université Grenoble Alpes