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Poster (Scientific congresses, symposiums and conference proceedings)
Real-Time Large Deformation Simulations Using Probabilistic Deep Learning Framework
Deshpande, Saurabh
;
Lengiewicz, Jakub
;
Bordas, Stéphane
2022
•
The Platform for Advanced Scientific Computing (PASC) Conference
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https://hdl.handle.net/10993/52829
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PASC22_poster.pdf
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Keywords :
Bayesian Deep learning; Finite Element method; real time simulation
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 Large Deformation Simulations Using Probabilistic Deep Learning Framework
Publication date :
28 June 2022
Event name :
The Platform for Advanced Scientific Computing (PASC) Conference
Event date :
27-06-2022 to 28-06-2022
Audience :
International
Focus Area :
Computational Sciences
Additional URL :
https://pasc22.pasc-conference.org/program/schedule/index.html%3Fpost_type=page&p=10&id=pos122&sess=sess181.html
European Projects :
H2020 - 764644 - RAINBOW - Rapid Biomechanics Simulation for Personalized Clinical Design
Funders :
CE - Commission Européenne [BE]
Available on ORBilu :
since 20 November 2022
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