Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU
| datacite.relatedItem.firstPage | 344 | |
| datacite.relatedItem.issue | 11 | |
| datacite.relatedItem.relatedIdentifierType | ISSN | |
| datacite.relatedItem.relatedItemIdentifier | 2311-5521 | |
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| datacite.relatedItem.title | Fluids | |
| datacite.relatedItem.volume | 7 | |
| dc.contributor.author | Reza Hassanian | |
| dc.contributor.author | Ásdís Helgadóttir | |
| dc.contributor.author | Morris Riedel | |
| dc.date.accessioned | 2025-04-16T12:01:19Z | |
| dc.date.available | 2025-04-16T12:01:19Z | |
| dc.date.issued | 2022 | |
| dc.identifier.doi | https://doi.org/10.3390/fluids7110344 | |
| dc.identifier.other | jz000102-0213 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/16196 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 530 | |
| dc.title | Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU | |
| dc.type | Article | |
| dcat.distribution.pdf | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/16197 | |
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