Modeling and Simulation to understand the physical world

Acronyme: 
SIM
Responsables scientifiques: 
Christophe Picard (LJK), Laurent Desbat (TIMC)
Objectifs: 

Today, the most pressing technological, environmental, and health care problems call for predictive numerical models that can describe systems of increasing complexity and enable real-time simulations. Real-time computations are a prerequisite for controlling and acting on systems. The complexity may arise from the nonlinear coupling of several physical phenomena, interacting on several spatial and time scales, from high-dimensionality and from noisy data sets. The goal of this action is to propose new numerical models and simulation methods for complex physical systems. Four dimensions of complexity are considered:

  • Multi-scale, multi-physics modeling

  • Uncertainties in modeling

  • Numerical methods and High-performance computing

  • Optimization and inverse problems

Comité scientifique: 
Eric Blayo (LJK), Laurent Desbat (TIMC), Eric Dumas (IF), Christophe Picard (LJK), Jean-Louis Roch (LIG), Adeline Samson Leclercq (LJK), Isabelle Sivignon (GIPSA-LAB)