2016/2017 Program

2017:

Monday 16 January, 2017 – Inria Paris
Stanley Durrleman,
Inria, ICM.
Learning digital brain models from multimodal image data
Abstract

Monday 6 Febuary 6, 2017 – LJLL
Thomas Wick,
Ecole Polytechnique.
Coupling fluid-structure interaction with phase-field fracture
Abstract

Monday 20 Febuary, 2017 – Inria Paris
Christian Schmeiser,
Vienna University.
Bistability of lamellipodial fragments
Abstract

Monday 6 March, 2017 – LJLL
Sonia Fliss,
Ensta.
High order transmission conditions for the homogenization of interface problems
Abstract

Monday 20 March, 2017 – Inria Paris
Clément Cancès,
 Inria Lille.
Schémas numériques dissipant l’entropie pour des équations paraboliques
Abstract

Monday 24 April, 2017 – Inria Paris
Maya de Buhan,
CNRS
Convergent algorithm based on Carleman estimates for the recovery of a coefficient in the wave equation
Abstract

Monday 15 May, 2017 – Inria Paris
Patrick Ciarlet, 
Ensta
Nuclear core reactor simulations with low-regularity solution
Abstract

Monday 19 June 2017 – Inria Paris
Pierre Kestener, CEA Saclay
CanoP, a lightweight C++ framework for adaptive mesh refinement applications
Abstract
 

2016:

Monday, September 19, 2016- Inria
Daniele BOFFI,
University of Pavia.
Approximation of fluid-structure interaction problems with Lagrange multiplier
Abstract

Monday, October 3, 2016 – LJLL
Ping Lin, University of Dundee.
A Thermodynamically Consistent Phase-Field Model And Its Energy-Law Preserving Continuous Finite Element Method.
Abstract

Monday, October 17, 2016 – Inria
Ricardo Nochetto, University of Maryland
Bilayer Plates: Model Reduction, Discretization and Gradient Flow
Abstract

Monday, November 7, 2016 – LJLL
Stefan VOLKWEIN, University of Konstanz.
Proper orthogonal decomposition for constrained optimal control of PDEs
Abstract

Monday, November 21, 2016 – Inria
Silke GLAS Ulm University.

Monday, December 5, 2016 – LJLL
Aline Lefebvre-Lepot CNRS, Ecole Polytechnique.
Numerical simulations of suspensions
Abstract (in french)


Monday, March 20th, 2017
Clément Cancès, Inria Lille

Title: Schémas numériques dissipant l’entropie pour des équations paraboliques Résumé: Il est bien compris depuis maintenant un peu plus de 15 ans que le contrôle de l’entropie et de sa dissipation permet de caractériser le comportement en temps long des solutions d’équations de convection diffusion. Le contrôle de l’entropie joue…

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Monday, March 6th, 2017
Sonia Fliss, ENSTA

Title:High order transmission conditions for the homogenization of interface problems Abstract: This work is a joint work with Xavier Claeys (UPMC, University Paris 6) and Valentin Vinoles (former PhD student, now at EPFL). Classical homogenization theory takes into account poorly interfaces (or boundaries). Indeed, it is well known that the…

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Monday, February 20th, 2017
Christian Schmeiser, University of Vienna

Title: Bistability of lamellipodial fragments Abstract: In experiments bistability of lamellipodial fragments has been observed with perturbation induced switching between a nonpolarized-nonmoving and a polarized-moving state. The Filament Based Lamellipodium Model, a two-dimensional, anisotropic, two-phase model of the lamellipodium is used to explain the bistability as a phenomenon induced by actin-myosin interaction. The bistability is obtained…

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Monday, February 6th, 2017
Thomas Wick, Ecole Polytechnique

Coupling fluid-structure interaction with phase-field fracture Abstract: In this presentation, a concept for coupling fluid-structure interaction with brittle fracture in elasticity is proposed. The fluid-structure interaction problem is modeled in terms of the arbitrary Lagrangian-Eulerian technique and couples the isothermal, incompressible Navier-Stokes equations with nonlinear elastodynamics using the Saint-Venant Kirchhoff solid model. The brittle fracture model is based…

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Monday january 16, 2017
Stanley Durrleman , Inria

Learning digital brain models from multimodal image data We will present algorithms and methods to automatically build digital brain models from sets of observations. These observations may take the form of series of medical images or 3D geometrical objects extracted from these images, such as surface or curve meshes. One…

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Monday, November 21th 2016
Silke Glas, Ulm University

Time and Reduced Basis Methods Abstract: Parametrized parabolic problems often occur in industrial or financial applications, e.g. as pricing of options on the stock market. If we want to calibrate an option pricing model, we need several evaluations for different parameters. Fine discretizations, that are needed for these problems, resolve…

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Monday, November 7th 2016
Stefan Volkwein, Constance Univ.

Proper orthogonal decomposition for constrained optimal control of PDEs Abstract: In this work optimal control problem for parabolic evolution problems with inequality constraints are considered. For its numerical solution a reduced-order approach based on proper orthogonal decomposition (POD) is applied. POD is a powerful technique for model reduction of non-linear…

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Monday, October 17th 2016
Ricardo Nochetto, University of Maryland

Bilayer Plates: Model Reduction, Discretization and Gradient Flow The bending of bilayer plates is a mechanism which allows for large deformations via small externally induced lattice mismatches of the underlying materials. Its mathematical modeling, discussed in this talk, consists of a nonlinear fourth order problem with a pointwise isometry constraint.…

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Monday october 3th, 2016
Ping Lin Department of Mathematics, University of Dundee

A Thermodynamically Consistent Phase-Field Model And Its Energy-Law Preserving Continuous Finite Element Method. Abstract: We develop a phase-field model for the binary incompressible (quasi-incompressible) fluid with thermocapillary effects, which allows for the different properties (densities, viscosities and heat conductivities) of each fluid component while maintaining thermodynamic consistency. The governing equations…

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