Real-Time Large Deformation Simulations Using Probabilistic Deep Learning Framework

Reference : Real-Time Large Deformation Simulations Using Probabilistic Deep Learning Framework


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/51612

Title :	Real-Time Large Deformation Simulations Using Probabilistic Deep Learning Framework
Language :	English
Author, co-author :	Saurabh, Deshpande [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > > Computational Sciences]
	Jakub, Lengiewicz []
	Stephane, Bordas []
Publication date :	Jun-2022
Number of pages :	1
Peer reviewed :	Yes
Audience :	International
Event name :	Platform for Advanced Scientific Computing (PASC) Conference 2022
Event date :	27-06-22 to 29-06-22
Keywords :	[en] Large Deformations ; Deep learning ; Bayesian inference
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/51612
Framework Programme / European Project :	H2020 ; 764644 - RAINBOW - Rapid Biomechanics Simulation for Personalized Clinical Design

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	File	Commentary	Size	Access
Open access	PASC22_poster.pdf		5.04 MB	View/Open

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