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Data · dataset · 2024

Dataset of Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks

Listed in e-cienciaDatos

Description

Dataset of the article Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks (doi.org/10.1016/j.cma.2023.116652). The codes processing data here are on 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.

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Catalogue records · 1

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From keywords
Physics
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
e-cienciaDatosdoi:10.5281/ZENODO.1021400310 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:physicsmapping · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0/subjects
created_datesource · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0
descriptionsource · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0/description
publication_datesource · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0
titlesource · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0/name
updated_datesource · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0