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MICMAC Research team
Methods and engineering of multiscale computing from atom to continuum
- Leader : Claude Le Bris
- Type : Project team
- Research center(s) : Paris - Rocquencourt
- Field : Applied Mathematics, Computation and Simulation
- Theme : Computational models and simulation
- Ecole des Ponts ParisTech, Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique (CERMICS) (UMR)
Team presentation
The MICMAC project-team aims to develop efficient and rigourously founded numerical methods for the simulations at microscopic scale (molecular quantum chemistry, molecular dynamics, atomistics) and its coupling with the macro scales (micro/macro strategies for complex materials and fluids with microstructure). The aspects concerning the control of this systems are also considered, especially the laser control of molecular motion.
Research themes
- multiscale simulations
- molecular chemistry
- numerical optimization
- optimal control theory
- laser-matter interaction
- non-linear analysis
- variational methods
- stochastic algorithms
- PDEs
We are used to collaborating and interacting with :
International and industrial relations
We are used to collaborating and interacting with :
- CEREMADE, University of Paris-Dauphine
- INRIA projects : SCALAPPLIX, INRIA Futurs, FRACTALES, GAMMA, INRIA Rocquencourt, ALADIN, INRIA Rennes
- Commissariat à l'Energie Atomique, CEA
- University of Paris VII, University of Nantes, Pauli Institut, Vienna
- CAS, Ecole des Mines de Paris
- Laboratoire de Chimie Théorique, University of Paris 6
- Rice University, Texas
- Princeton University, New Jersey
- Sherbrooke University, Canada
- University of Louvain-La-Neuve, Belgium
- Dept. of Maths, University of Versailles
- LCT, University of Marne-la-Vallée
- Laboratoire Jacques-Louis Lions, University of Paris 6
- PPM, CNRS-University of Paris-Sud
- DCCI, University of Pisa, Italy
- Electricité de France, EDF
Keywords: Multiscale simulations Molecular chemistry Numerical optimization Optimal control theory Laser-matter interaction Non-linear analysis Variational methods Stochastic algorithms Pdes
Research teams of the same theme :
- BACCHUS - Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems
- CAD - Computer Aided Design
- CAGIRE - Computational Approximation with discontinous Galerkin methods and compaRison with Experiments
- CALVI - Scientific computation and visualization
- CASTOR - Control, Analysis and Simulations for TOkamak Research
- COFFEE - COmplex Flows For Energy and Environment
- CONCHA - Complex Flow Simulation Codes based on High-order and Adaptive methods
- DEFI - Shape reconstruction and identification
- GAMMA3 - Automatic mesh generation and advanced methods
- IPSO - Invariant Preserving SOlvers
- MC2 - Modeling, control and computations
- NACHOS - Numerical modeling and high performance computing for evolution problems in complex domains and heterogeneous media
- NANO-D - Algorithms for Modeling and Simulation of Nanosystems
- OPALE - Optimization and control, numerical algorithms and integration of complex multidiscipline systems governed by PDE
- POEMS - Wave propagation: mathematical analysis and simulation
- SCIPORT - Program transformations for scientific computing
- SIMPAF - SImulations and Modeling for PArticles and Fluids
- SMASH - Simulation, modeling and analysis of heterogeneous systems
Contact
Team leader
Claude Le Bris
Tel.: +33 1 64 15 35 73
Secretariat
Tel.: +33 1 39 63 53 74
Inria
Inria.fr
Inria Channel

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