Real Time Hyper-elastic Simulations with Probabilistic Deep Learning

Reference : Real Time Hyper-elastic Simulations with Probabilistic Deep Learning


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/52345

Title :	Real Time Hyper-elastic Simulations with Probabilistic Deep Learning
Language :	English
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) >]
Publication date :	Aug-2022
Main document title :	15th World Congress on Computational Mechanics (WCCM-XV)
Peer reviewed :	Yes
Audience :	International
Event name :	15th World Congress on Computational Mechanics (WCCM-XV)
Event date :	31-07-2022 to 05-08-2022
Keywords :	[en] Bayesian Inference ; Deep Learning ; Hyperelasticity
Permalink :	http://hdl.handle.net/10993/52345
Framework Programme / European Project :	H2020 ; 764644 - RAINBOW - Rapid Biomechanics Simulation for Personalized Clinical Design

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Open access	WCCM2022_Saurabh.pdf		Author preprint	57.48 kB	View/Open

Additional material(s):

	File	Commentary	Size	Access
Open access	wccm_presentation.mp4		210.41 MB	View/Open

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