Modeling and Simulation to understand the physical world => Mathematics: from Fundamentals to Applications

Scientific managers: 
Eric Blayo (LJK), Greg McShane (IF)

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

Scientific committee: 
- Eric Blayo (LJK) - Arnaud Chauvière (TIMC) - Ibrahim Cheddadi (TIMC) - Greg McShane (Institut Fourier) - Adeline Leclercq-Samsom (LJK) - Christophe Picard (LJK) - Isabelle Sivignon (GIPSA-Lab)