Speakers

Lecture 1: Henry PROUDHON, MINES ParisTech, France

Meshing tomographic images to bridge experiments and material simulations

Lecture 2: Etienne DECENCIERE, MINES ParisTech, France

Achievements and challenges of semantic image segmentation with deep learning

Lecture 3: Rajmund MOKSO, DTU Physics, Denmark. & Lund University, Sweden

Multi-resolution and time resolved acquisitions

Lecture 4: Jean-Yves BUFFIERE, MATEIS INSA-Lyon, Villeurbanne, France

         In situ monitoring of experiments using synchrotron X rays

Lecture 5: Dominique BERNARD, ICMCB-CNRS, Pessac, France

         Finite volumes and porous materials

Lecture 6: Lars P. MIKKELSEN, DTU Wind Energy, Dennmark

Mapping local material characteristics into finite element models for predicting stiffness and compressive
strength of glass and carbon fiber composites on the macro scale. 

Lecture 7: Pierre J.J. DUMONT, Univ. Lyon, INSA-Lyon, CNRS, LaMCoS, UMR5259, Villeurbanne, France

Microstructural evolution of composite materials with discontinuous fibre reinforcements during forming processes: 3D characterisation and simulation

Lecture 8: Stéphane ROUX, U. Paris Saclay, ENS Paris Saclay, CentraleSupélec, CNRS, Saclay, France

         Materials law identification

Lecture 9: Christophe MARTIN, SIMap/GPM2, Grenoble, France

         Coupling discrete element simulations to tomographic images: from elasticity to fracture

Lecture 10: Henning LOEWE, Snow Physics Group, Davos Dorf, Switzerland

Ephemeral snow crystals on the ground -- Can we infer local non-equilibrium thermodynamics at growing
crystal surfaces from 4D X-ray tomography data?