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 18-th February 2019
Magali Ribot (Université d’Orléans) .

Modèles de mélange pour la croissance de biofilms Abstract: Nous présentons dans cet exposé la construction de modèles d’EDPs décrivant l’évolution de micro-algues ou de bactéries en interaction entre elles, mais aussi avec leur environnement. Ces modèles sont basés sur la théorie des mélanges et sont couplés avec des équations…

Continue reading

Monday 5 november 2018
Cindy Guichard LJLL, Sorbonne Université.

Title (in french): Analyse de schémas pour une équation de convection et diffusion dégénérée. Abstract (in french): Dans cet exposé nous allons étudier une équation de convection avec un terme de diffusion dégénéré. Cette équation peut être vue comme résultant d’un modèle (simplifié) servant à la modélisation du déplacement de…

Continue reading

Monday june 4th 2018
Antoine Strugarek, CEA Paris Saclay

Title: Simulations of the magnetic cycles of the Sun and solar-type stars Abstract: The Sun sustains its large-scale magnetic field thanks to its internal turbulent motions through a so-called dynamo effect. Global simulations of the convective dynamo of the Sun and solar-type stars have exhibited in the past decade a…

Continue reading

Monday June 19th 2017
Pierre Kestener, CEA

CanoP, a lightweight C++ framework for adaptive mesh refinement applications Abstract: We will briefly review the different adaptive mesh refivement techniques and their software implementations (cell-based, block-structured and wavelet-based) in order to better emphasize the main specific properties of the library p4est which is the parallel distributed mesh managing engine…

Continue reading

Monday, May 15th, 2017
Patrick Ciarlet, ENSTA

Title : Nuclear core reactor simulations with low-regularity solution Joint work with: Léandre Giret, Erell Jamelot, Félix Kpadonou. Abstract: The behaviour of a nuclear core reactor can be modeled by the neutron diffusion equation. In the steady-state case, one must solve an eigenvalue problem. More precisely, one looks for the…

Continue reading

Monday, April 24th, 2017
Maya de Buhan, CNRS Paris 5

Title: Convergent algorithm based on Carleman estimates for the recovery of a coefficient in the wave equation.  Joint works with Lucie Baudouin, Sylvain Ervedoza and Axel Osses. Abstract: We are interested in an inverse problem for the wave equation. More precisely, it consists in the determination of an unknown time-independent coefficient…

Continue reading