3D multi-physics uncertainty quantification using physics-based machine learning
Crossref DOI link: https://doi.org/10.1038/s41598-022-21739-7
Published Online: 2022-10-19
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Degen, Denise
Cacace, Mauro
Wellmann, Florian
Funding for this research was provided by:
RWTH Aachen University
Text and Data Mining valid from 2022-10-19
Version of Record valid from 2022-10-19
Article History
Received: 20 June 2022
Accepted: 30 September 2022
First Online: 19 October 2022