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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

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  • Guendalina Palmirotta: Machine Learning in Space Weather and how to handle it
  • Han Zhang: Artificial Neural Network Method Based on Boundary Integral Equations
  • Fateme Darlik: Using Physics-Informed constrained neural network to reconstruct the motion of the particles for time more than the training time

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