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Computational Mechanics

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FEniCS shells; Bayesian inversion for hyper-elastic solids using dolfin-adjoint

fenics-shells: a UFL-based library for simulating thin structures

http://hdl.handle.net/10993/21554

A Bayesian inversion approach to recovering material parameters in hyperelastic solids using dolfin-adjoint

http://hdl.handle.net/10993/21555

Upcoming events

  • Han Zhang: Artificial Neural Network Method Based on Boundary Integral Equations

Past events

  • Fateme Darlik: Using Physics-Informed constrained neural network to reconstruct the motion of the particles for time more than the training time
  • Aishwarya Krishnan: Design of a chat bot for service-now knowledge base
  • Lorella Viola: The problem with GPT for the Humanities (and for humanity)
  • Aubin Geoffre: Gaussian Process Regression with anisotropic kernel for supervised feature selection.
  • Vu Chau: Non-parametric data-driven constitutive modelling using artificial neural networks.

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    stephane.bordas@uni.lu
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