Back
  1. Home
  3. Detailled Reference
Download
Internal report (Reports)
Data Centric Engineering and Data-Driven Modelling - Computational Engineering Lab Report 2019
Bordas, Stéphane; Peters, Bernhard; Viti, Francesco et al.
2019
Permalink
https://hdl.handle.net/10993/42592
 

Files (1)Send toDetailsStatisticsBibliographySimilar publications

Files

Full Text
2019DataCentricEngineeringDataDrivenLegatoLabReport_Newsletter_SummaryOfActivities.pdf
Publisher postprint (60.48 MB)
PDF Fine
Download

All documents in ORBilu are protected by a user license.

Send to


Details


Keywords :
data centric engineering; data driven modelling; data science
Abstract :
[en] https://www.cambridge.org/core/journals/data-centric-engineering
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
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
Language :
English
Title :
Data Centric Engineering and Data-Driven Modelling - Computational Engineering Lab Report 2019
Publication date :
31 December 2019
Publisher :
UL, Luxembourg, Luxembourg
Report number :
Report number 7 - 2019
Number of pages :
53
Collection name :
Lab report 2019
Focus Area :
Computational Sciences
Additional URL :
http://legato-team.eu
European Projects :
H2020 - 764644 - RAINBOW - Rapid Biomechanics Simulation for Personalized Clinical Design
FnR Project :
FNR11758809 - Quantum–Continuum Coupling With Application To Adhesive Systems, 2017 (01/08/2018-31/07/2021) - Stéphane Bordas
Funders :
FNR - Fonds National de la Recherche [LU]
CE - Commission Européenne [BE]
Available on ORBilu :
since 21 February 2020

Statistics

Number of views
179 (12 by Unilu)
Number of downloads
191 (27 by Unilu)
More statistics

Bibliography

Similar publications


Contact ORBilu