Real Time Hyper-elastic Simulations with Probabilistic Deep Learning

DESHPANDE, Saurabh; LENGIEWICZ, Jakub; BORDAS, Stéphane

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Real Time Hyper-elastic Simulations with Probabilistic Deep Learning

DESHPANDE, Saurabh; LENGIEWICZ, Jakub; BORDAS, Stéphane

2022 • In 15th World Congress on Computational Mechanics (WCCM-XV)

Peer reviewed

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https://hdl.handle.net/10993/52345

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Keywords :

Bayesian Inference; Deep Learning; Hyperelasticity

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

DESHPANDE, Saurabh ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

LENGIEWICZ, Jakub ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

BORDAS, Stéphane ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

External co-authors :

yes

Language :

English

Title :

Real Time Hyper-elastic Simulations with Probabilistic Deep Learning

Publication date :

August 2022

Event name :

15th World Congress on Computational Mechanics (WCCM-XV)

Event date :

31-07-2022 to 05-08-2022

Audience :

International

Main work title :

15th World Congress on Computational Mechanics (WCCM-XV)

Peer reviewed :

Peer reviewed

Focus Area :

Computational Sciences

European Projects :

H2020 - 764644 - RAINBOW - Rapid Biomechanics Simulation for Personalized Clinical Design

Funders :

CE - Commission Européenne
European Union

Available on ORBilu :

since 07 October 2022

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