Legato Team

Computational Mechanics

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Mission

Team Legato aims at building intuitive and interactive platforms for computational mechanics problems which allow the users to interact with their models and hence gain insights into unconventional and counter-intuitive phenomena.

Medical Simulation

$Multi-scale methods for fracture$

Multi-scale methods for fracture

Error estimation

Model reduction methods for non-linear problems

Podcasts and social media

Legato_Team Follow 4 91

Team Legato aims at building intuitive and interactive platforms for computational mechanics problems

; Thomas Lavigne @Thomas_Lavigne_ ·

10 Jul 1546056243558719488

I was glad to see our #research work presented at #WCB2022 (World Congress of Biomechanics), Taipei, by @ArnaudMazier . Thanks again to the @LegatoTeam , @stephanebordas , Stephane Urcun, @Saurabh1715 , @JLengiewicz and François Hild for their implication in this project.

Twitter feed image.

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; Stéphane P.A. Bordas Fellow Learned Soc. of Wales @stephanebordas ·

28 Jun 1541720426669301760

Thanks @andrea_binsfeld @a_fickers also talked about Computational Archaeology @JuanAguilarLU @LegatoTeam

Stéphane P.A. Bordas Fellow Learned Soc. of Wales @stephanebordas

What is computational mechanics ? What is machine learning ? And data science ? Some views shared with @sci_lux in a fun discussion with Hanna. https://twitter.com/sci_lux/status/1541702999843774466

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; Stéphane P.A. Bordas Fellow Learned Soc. of Wales @stephanebordas ·

14 Jun 1536645780861231106

https://youtu.be/tqJOjpjDd_I @LegatoTeam Sofia Farina shows how astrocyte metabolism is related to its morphology using latest advances in discontinuous finite element methods such as CutFEM. PUFEM XFEM.

Twitter feed video.

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; Stéphane P.A. Bordas Fellow Learned Soc. of Wales @stephanebordas ·

14 Jun 1536644183414521856

Debriefing of conference on Friday @LegatoTeam

Stéphane P.A. Bordas Fellow Learned Soc. of Wales @stephanebordas

ECCOMAS Oslo 2022. Exciting times for new PhD students 🙂 https://lnkd.in/exUZRnxN

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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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Mentions légales

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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