Towards prediction of low dimensional QoIs with data-driven LES closures in 2D turbulence ...
Zenodo, 2024
academicJournal
Zugriff:
Poster on creating subgrid-scale models that are tailor made for predicting low-dimensional quantitities of interest. Poster presented by Rik Hoekstra at the WSC Woudschoten conference (27-29 September 2023), and at the autumn school and workshop of the CWI Scientific Machine Learning semester programme (https://www.cwi.nl/en/events/cwi-research-semester-programs/research-programmes-in-2023/research-semester-programme-on-scientific-machine-learning/). ...
Titel: |
Towards prediction of low dimensional QoIs with data-driven LES closures in 2D turbulence ...
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Autor/in / Beteiligte Person: | Hoekstra, Rik ; Edeling, Wouter |
Link: | |
Veröffentlichung: | Zenodo, 2024 |
Medientyp: | academicJournal |
DOI: | 10.5281/zenodo.10715267 |
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