Efficient Reduced Order Modeling of Large Data Sets Obtained from CFD Simulations
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| datacite.relatedItem.issue | 3 | |
| datacite.relatedItem.relatedIdentifierType | ISSN | |
| datacite.relatedItem.relatedItemIdentifier | 2311-5521 | |
| datacite.relatedItem.relationType | IsPublishedIn | |
| datacite.relatedItem.title | Fluids | |
| datacite.relatedItem.volume | 7 | |
| dc.contributor.author | Thomas Holemans | |
| dc.contributor.author | Zhu Yang | |
| dc.contributor.author | Maarten Vanierschot | |
| dc.date.accessioned | 2025-04-16T11:43:57Z | |
| dc.date.available | 2025-04-16T11:43:57Z | |
| dc.date.issued | 2022 | |
| dc.identifier.doi | https://doi.org/10.3390/fluids7030110 | |
| dc.identifier.other | jz000102-0178 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/15356 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 530 | |
| dc.title | Efficient Reduced Order Modeling of Large Data Sets Obtained from CFD Simulations | |
| dc.type | Article | |
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