Published August 19, 2022 | Version 1.1.1
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Dataset of "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification"

  • 1. Universidad Carlos III de Madrid

Description

Dataset of the article "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification" (https://doi.org/10.1016/j.expthermflusci.2022.110756). Local similarity between non-time-resolved snapshots is enforced by KNN to extract high-resolution velocity fields and estimate the uncertainty of the measurements.

The codes processing data here are on https://github.com/erc-nextflow/KNN-PTV.

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, NEXTFLOW).

Files

Fluidic_Pinball.zip

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Additional details

Related works

Cites
Journal article: 10.1016/j.expthermflusci.2022.110756 (DOI)

Funding

NEXTFLOW – Next-generation flow diagnostics for control 949085
European Commission