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SUMMARY:EasyFEA: accessible and high-performance FEM in Python — from me
 sh generation to MPI-parallel simulations - Matthieu Noel
DTSTART;TZID=Europe/Paris:20261126T112500
DTEND;TZID=Europe/Paris:20261126T115500
DTSTAMP:20260930T113503Z
UID:pretalx-compute-paris-2026-BC9F8A@pretalx.com
DESCRIPTION:Most Python finite element frameworks (FEniCS\, FEniCSx\, MFEM
 ) require significant setup and a solid background in variational formulat
 ions—two requirements that many engineers and applied researchers may no
 t have. EasyFEA takes the opposite approach.\n\n```\npip install EasyFEA\n
 ```\n\nOne command. No Docker. No compiled extensions. Works on Linux\, ma
 cOS\, and Windows.\n\nEasyFEA is built for engineers and researchers who t
 hink in terms of materials\, boundary conditions\, and results — not wea
 k forms and function spaces. It covers the full FEM pipeline: mesh generat
 ion (Gmsh\, including cracks and inclusions)\, solving systems with hundre
 ds of thousands of degrees of freedom (SciPy\, PyPardiso\, PETSc)\, and po
 st-processing (PyVista\, ParaView\, matplotlib) — including MPI-parallel
  simulations requiring no code changes.\n\nIt handles linear and nonlinear
  elliptic (static)\, parabolic (transient)\, and hyperbolic (dynamic) prob
 lems with multiple time integration schemes\, and supports multiphysics co
 upling such as phase-field brittle fracture with anisotropic elasticity in
  2D and 3D.\n\nEasyFEA uses variational formulations internally — it sim
 ply does not expose them to the user.
LOCATION:Room 106
URL:https://pretalx.com/compute-paris-2026/talk/BC9F8A/
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