Legato Team

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

Twitter

Stéphane P.A. Bordas http://driven2020.uni.lu @stephanebordas·

18 Nov

Thank you Luxembourg for giving us the great opportunity To work in such a dynamic research landscape. https://lnkd.in/eCPGcPH

Reply on Twitter 1329033997570215942 Retweet on Twitter 13290339975702159422 Like on Twitter 132903399757021594220 Twitter 1329033997570215942

Retweet on Twitter Arnaud Mazier Retweeted

Léo Grasset@dirtybiology·

20 Oct

Alala quel maladroit, j'ai glissé sur le RT https://twitter.com/LPetiniaud/status/1316298499168833536

Louis Pétiniaud@LPetiniaud

Je déconseille vivement d'installer sur Firefox ou Chrome l'extension AutoSciHub qui permet de voler éhontément les éditeurs universitaires avec plus de facilité au lieu d'acheter honnêtement un article à 60 $ dont aucun n'est versé à l'auteur. C'est mal https://roiarthurb.github.io/Side-Auto_Sci-Hub/

Reply on Twitter 1318441736868384768 Retweet on Twitter 1318441736868384768992 Like on Twitter 13184417368683847684835 Twitter 1318441736868384768

News

November 27, 2020

New ML event

Test

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Saurabh Deshpande: Data-Driven Hyper-elastic Simulations

Machine Learning Seminar presentation Topic: Data-Driven Hyper-elastic Simulations Speaker: Saurabh Deshpande, University of Luxembourg, Time: Wednesday 2020.10.07, 10:00 CET Abstract: Since a decade, machine learning has started to revolutionize several fields due to the development of new algorithms and the

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November 26, 2020

Vasilis Krokos: Bayesian Neural Networks for uncertainty estimation on regression problems

Machine Learning Seminar Presentation Topic: Bayesian Neural Networks for uncertainty estimation on regression problems Speaker: Vasilis Krokos, University of Cardiff & Synopsys-Simpleware Time: Wednesday 2020.10.07, 10:00 CET Abstract: Although nowadays Neural Networks (NN) are vastly used in numerous applications, traditionally

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November 3, 2020

2 Ph.D. positions in Computational Mechanics in Luxembourg

The computational mechanic’s group of Prof. Stéphane Bordas (www.legato‐team.eu, www.uni.lu ) is searching for two Ph.D. students to work on one of the following projects. Both projects focus on phase-field damage modeling, rubbery polymers, and experimental validation. All work is

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September 9, 2019

TWINNING workshop in Luxembourg

For its second edition, the DRIVEN workshop will take place in Luxembourg the 11th and 12th of September 2019. The theme of the workshop will mostly talk about how to use digital twins from the medical field to dynamic simulations.

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Crack simulation with Extended Finite Element

Medical simulations

Homepage

Mission

Medical Simulation

Multi-scale methods for fracture

Error estimation

Model reduction methods for non-linear problems

News

New ML event

Saurabh Deshpande: Data-Driven Hyper-elastic Simulations

Vasilis Krokos: Bayesian Neural Networks for uncertainty estimation on regression problems

2 Ph.D. positions in Computational Mechanics in Luxembourg

TWINNING workshop in Luxembourg