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Computational Mechanics

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  • Mission & Projects
    • Medical Simulation
    • Multi-scale methods for fracture
    • Error estimation
    • Model reduction methods for non-linear problems
    • Alleviate the Mesh Burden in Computational Mechanics
    • Multi-Physics / Multi-Field Problems
    • Meshless Methods
    • Moving Boundary Problems
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Presentation by FNR INTERMOBILITY visiting professor Karol Miller 

Computational biomechanics for medicine: success stories from neurosurgery planning and vascular engineering

https://www.eventbrite.com/e/computational-biomechanics-for-medicine-success-stories-from-neurosurgery-planning-and-vascular-tickets-16693514752?utm_campaign=new_attendee&utm_medium=email&utm_source=eb_email&utm_term=event_name

Upcoming events

  • Lorella Viola: The problem with GPT for the Humanities (and for humanity)

Past events

  • Aubin Geoffre: Gaussian Process Regression with anisotropic kernel for supervised feature selection.
  • Vu Chau: Non-parametric data-driven constitutive modelling using artificial neural networks.
  • Alban Odot: Deformation approximation : Improve your Artificial Neural Network training using the Finite Element Method formulation. A case for static deformations.
  • Onkar Jadhav: Parametric model order reduction with an adaptive greedy sampling approach based on surrogate modeling. An application of the pMOR in financial risk analysis.
  • Lester Mackey: Kernel Thinning and Stein Thinning

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Contact

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