A Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow Solvers
| datacite.relatedItem.firstPage | 50 | |
| datacite.relatedItem.issue | 3 | |
| datacite.relatedItem.relatedIdentifierType | ISSN | |
| datacite.relatedItem.relatedItemIdentifier | 2311-5521 | |
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| datacite.relatedItem.title | Fluids | |
| datacite.relatedItem.volume | 3 | |
| dc.contributor.author | Sk. Mashfiqur Rahman | |
| dc.contributor.author | Adil Rasheed | |
| dc.contributor.author | Omer San | |
| dc.date.accessioned | 2025-04-16T10:16:47Z | |
| dc.date.available | 2025-04-16T10:16:47Z | |
| dc.date.issued | 2018 | |
| dc.identifier.doi | https://doi.org/10.3390/fluids3030050 | |
| dc.identifier.other | jz000106-0030 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/11344 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 530 | |
| dc.title | A Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow Solvers | |
| dc.type | Article | |
| dcat.distribution.pdf | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/11345 | |
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