Dataset of 'Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks'
Description
Dataset of the article 'Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks' (https://doi.org/10.1016/j.cma.2023.116652). The codes processing data here are on https://github.com/AlvaroMS90/Complete-flow-characterization-from-snapshot-PIV-fast-probes-and-physics-informed-neural-networks. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085) and by MCIN/AEI /10.13039/501100011033 and the European Union ‘NextGenerationEU/PRTR’ as part of the grant FJC2020-044342-I.
Resources
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http://data.europa.eu/88u/dataset/oai-zenodo-org-10214004 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-10214004 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-10214004 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-10214004 |
Tags
- proper-orthogonal-decomposition
- flow-estimation
- particle-image-velocimetry
- physics-informed-neural-networks