{"id":2137,"date":"2025-08-21T13:46:43","date_gmt":"2025-08-21T11:46:43","guid":{"rendered":"https:\/\/project.inria.fr\/rencontresljll\/?page_id=2137"},"modified":"2026-04-15T10:05:11","modified_gmt":"2026-04-15T08:05:11","slug":"2025-2026-program","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/rencontresljll\/2025-2026-program\/","title":{"rendered":"2025\/2026 Program"},"content":{"rendered":"
\n\n\n\n

Next Seminar:<\/strong><\/p>\n\n\n\n

Monday 4th May 2026 – LJLL & Visio<\/mark><\/strong>
Camille Carvalho<\/strong> INSA Lyon,
Optimal discretization for high contrast multi-layered media: it\u2019s (all) about the boundaries
Abstract<\/a><\/p>\n\n\n\n

\n\n\n\n

Program 2025\/2026 :<\/strong><\/p>\n\n\n\n

Monday 6th October 2025 – LJLL & Visio<\/mark>
Flore Nabet<\/strong> Ecole polytechnique,
Numerical analysis of the discrete duality finite volume method for a Cahn-Hilliard model with surfactants
Abstract<\/a><\/p>\n\n\n\n

Monday 3rd November 2025 – LJLL & Visio<\/mark>
Marcela Szopos<\/strong> Universit\u00e9 Paris Cit\u00e9,
Towards a digital twin of the eye: mathematical modeling, simulation and order reduction
Abstract<\/a><\/p>\n\n\n\n

Monday 17th November 2025 – Inria & Visio<\/mark>
Enora Denimal Goy<\/strong> Inria Saclay,
Surrogate-based topology optimisation of structures experiencing non-smooth dynamics
Abstract<\/a><\/p>\n\n\n\n

Monday 24th November 2025 – LJLL & Visio<\/mark>
Bernardo Cockburn<\/strong> University of Minnesota,
Transforming stabilizations into spaces
Abstract<\/a><\/p>\n\n\n\n

Monday 1st December 2025 – LJLL & Visio<\/mark>
Ari Rappaport<\/strong> ENSTA,
Towards robust discretizations and solvers for the time-harmonic Maxwell equations in complex media
Abstract<\/a><\/p>\n\n\n\n

Monday 15th December 2025 – Inria & Visio<\/mark>
Bruno L\u00e9vy <\/strong>Inria Saclay,
A Lagrangian shape and topology optimization framework based on semi-discrete optimal transport
Abstract<\/a><\/p>\n\n\n\n

Monday 5th January 2026 – LJLL & Visio<\/mark>
Bruno Despr\u00e9s <\/strong>Sorbonne Universit\u00e9,
Differentiability of Neural Networks and application to FEM
Abstract<\/a><\/p>\n\n\n\n

Monday 19th January 2026 – Inria & Visio<\/mark>
Annamaria Massimini<\/strong> Ecole nationale des ponts et chauss\u00e9es,
Canceled<\/strong>
Abstract<\/a><\/p>\n\n\n\n

Monday 2nd February 2026 – LJLL & Visio<\/mark>
Pedro Diez<\/strong> Universitat Polit\u00e8cnica de Catalunya, Barcelona, Spain,
Data Augmentation for Reduced Order Modeling in Bayesian solvers for Inverse Problems
Abstract<\/a><\/p>\n\n\n\n

Monday 16th February 2026 – Inria & Visio<\/mark><\/strong>
Iain Smears<\/strong> University College London,
Mean field games with nondifferentiable Hamiltonians
Abstract<\/a><\/p>\n\n\n\n

Thursday 12th March 2026 – LJLL & Visio<\/mark><\/strong>
Martin Campos Pinto<\/strong> Max Planck Institute,
Harmonic potentials in the L2 de Rham complex
Abstract<\/a><\/p>\n\n\n\n

Monday 16th March 2026 – Inria & Visio<\/mark><\/strong>
Manel Tayachi<\/strong> Universit\u00e9 Grenoble Alpes,
Design and analysis of Schwarz methods for coupling heterogeneous spatial dimension models
Abstract<\/a><\/p>\n\n\n\n

Monday 4th May 2026 – LJLL & Visio<\/mark><\/strong>
Camille Carvalho<\/strong> INSA Lyon,
Optimal discretization for high contrast multi-layered media: it\u2019s (all) about the boundaries
Abstract<\/a><\/p>\n\n\n\n

Monday 18th May 2026 – Inria & Visio<\/mark><\/strong>
Pierre Jolivet<\/strong> CNRS,
From models to solvers: PDEs with FreeFEM and PETSc
Abstract<\/a><\/p>\n\n\n\n

Monday 1st June 2026 – LJLL & Visio<\/mark><\/strong>
Katerina Skardova<\/strong> Ecole Polytechnique,
TBA
Abstract<\/a><\/p>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

Next Seminar: Monday 4th May 2026 – LJLL & VisioCamille Carvalho INSA Lyon,Optimal discretization for high contrast multi-layered media: it\u2019s (all) about the boundariesAbstract Program 2025\/2026 : Monday 6th October 2025 – LJLL & VisioFlore Nabet Ecole polytechnique,Numerical analysis of the discrete duality finite volume method for a Cahn-Hilliard model\u2026<\/p>\n

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