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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

Past events

  • Philippe Baratta: Statistical methods in observational Cosmology
  • Haralampos Hatzikirou: How can we make tumour predictions when we do not understand everything?
  • Andres Posada Moreno: Concept-based explanations for convolutional neural networks
  • David Wagg: A time-evolving digital twin tool for engineering dynamics applications
  • Orhan Ermis: A CNN-based Semi-Supervised Learning Approach for the Detection of SS7 Attacks

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    stephane.bordas@uni.lu
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