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Digital twins with embedded particle simulation
Umeå University, Faculty of Science and Technology, Department of Physics. (Digital Physics)ORCID iD: 0000-0002-0787-4988
(Digital Physics)
Umeå University, Faculty of Science and Technology, Department of Physics. (Digital Physics)
2021 (English)In: 14th WCCM & ECCOMAS Congress 2020: Virtual Congress 11 - 15 January, 2021 / [ed] Francisco Chinesta, Rémi Abgrall, Olivier Allix, David Néron, Michael Kaliske, International Centre for Numerical Methods in Engineering (CIMNE) , 2021, p. 2965-2966Conference paper, Oral presentation with published abstract (Other academic)
Place, publisher, year, edition, pages
International Centre for Numerical Methods in Engineering (CIMNE) , 2021. p. 2965-2966
Keywords [en]
Digital Twin, Granular Dynamics, Mining, Model Order Reduction
National Category
Other Physics Topics Robotics Other Computer and Information Science
Research subject
Physics
Identifiers
URN: urn:nbn:se:umu:diva-176564ISBN: 978-84-121101-7-3 (electronic)OAI: oai:DiVA.org:umu-176564DiVA, id: diva2:1499113
Conference
14th World Congress in Computational Mechanics (WCCM) ECCOMAS Congress, Virtual, January 11-15, 2021
Available from: 2020-11-06 Created: 2020-11-06 Last updated: 2021-07-27Bibliographically approved

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fulltext(231 kB)282 downloads
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Servin, MartinWallin, Erik

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Total: 282 downloads
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Total: 414 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf