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, September 19th 2016
Daniele Boffi, Università di Pavia

Approximation of fluid-structure interaction problems with Lagrange multiplier. The Immersed Boundary Method (IBM) is a consolidated technology for the approximation of problems involving the interaction of fluids and solids. The Finite Element IBM (FE-IBM) provides an efficient analysis for practical problems without the need of approximating the Dirac delta function…

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