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Computational Mechanics

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    • Multi-scale methods for fracture
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Multi-scale methods for fracture

Crack growth modeling in micropolar elasticity
Crack growth modeling in micropolar elasticity
Discrete models for fibrous materials and their multi-scale equivalents
Discrete models for fibrous materials and their multi-scale equivalents
Energy minimising multi-crack growth in linear-elastic materials using the extended finite element method
Energy minimising multi-crack growth in linear-elastic materials using the extended finite element method
Mechanical Properties of Carbon Nanotube reinforced composites
Mechanical Properties of Carbon Nanotube reinforced composites
Multiscale modeling of FRACTURE
Multiscale modeling of FRACTURE
Multiscale Modeling of Fracture in Soft Matter
Multiscale Modeling of Fracture in Soft Matter
Phase-Field damage modeling of rubbery polymers
Phase-Field damage modeling of rubbery polymers
Size effects in metal plasticity
Size effects in metal plasticity

Past events

  • Samuel Renault: AI Act: a grasp of the future EU regulation on AI and its impact on AI practitioners
  • Alena Kopanicakova: Multilevel training of deep neural networks
  • 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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Contact

  • Email
    stephane.bordas@uni.lu
  • Phone
    (+352) 46 66 44 5567
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    (+352) 621 131 048
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    2 Avenue de l'Universite, 4365 Esch-sur-Alzette, Luxembourg
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