Numerical upscaling of parametric microstructures in a possibilistic uncertainty framework with tensor trains
Crossref DOI link: https://doi.org/10.1007/s00466-022-02261-z
Published Online: 2022-12-27
Published Print: 2023-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Eigel, Martin
Gruhlke, Robert http://orcid.org/0000-0003-3129-9423
Moser, Dieter
Grasedyck, Lars
Funding for this research was provided by:
Deutsche Forschungsgemeinschaft, Priority Program SPP1886 (312928137)
Text and Data Mining valid from 2022-12-27
Version of Record valid from 2022-12-27
Article History
Received: 12 April 2022
Accepted: 10 December 2022
First Online: 27 December 2022