Data Centric Engineering and Data-Driven Modelling - Computational Engineering Lab Report 2019

Reference : Data Centric Engineering and Data-Driven Modelling - Computational Engineering Lab Re...


	Document type :	Reports : Internal report
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/42592

Title :	Data Centric Engineering and Data-Driven Modelling - Computational Engineering Lab Report 2019
Language :	English
Author, co-author :	Bordas, Stéphane [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Peters, Bernhard [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Viti, Francesco [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Zilian, Andreas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Publication date :	31-Dec-2019
Publisher :	UL
Collection and collection volume :	Lab report 2019
Number of pages :	53
Report number :	Report number 7 - 2019
City :	Luxembourg
Country :	Luxembourg
Keywords :	[en] data centric engineering ; data driven modelling ; data science
Abstract :	[en] https://www.cambridge.org/core/journals/data-centric-engineering
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/42592
Other URL :	http://legato-team.eu
Framework Programme / European Project :	H2020 ; 764644 - RAINBOW - Rapid Biomechanics Simulation for Personalized Clinical Design
FnR project :	FnR ; FNR11758809 > Stéphane Bordas > QCCAAS > Quantum–Continuum Coupling with Application toAdhesive Systems > 01/08/2018 > 31/07/2021 > 2017

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	File	Commentary	Version	Size	Access
Open access	2019DataCentricEngineeringDataDrivenLegatoLabReport_Newsletter_SummaryOfActivities.pdf	PDF Fine	Publisher postprint	59.07 MB	View/Open

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