The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/9c7664af-4684-43cf-95cc-a3fba6951e23

Overveld, van, Timo; Herman Clercx; Duran-Matute, Matias (2023): Data underlying the publication: Pattern formation of spherical particles in an oscillating flow. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/9c7664af-4684-43cf-95cc-a3fba6951e23.v2

Dataset

x choose version: version 1 - 2023-07-24

• Classical Physics
• Physical Sciences

Direct Numerical Simulations, Experiments, Immersed Boundary Method, Oscillating flows, Particle-laden Flows, Pattern formation, Self-organization, Steady streaming

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Timo Overveld, van , Herman Clercx , Matias Duran-Matute

This data set contains all the data to reproduce the results presented in the manuscript titled 'Pattern formation of spherical particles in an oscillating flow'.

All data processing is done in Jupyter-Lab and Paraview.

FigureX.ipynb uses the preprocessed data and functions to generate Figure X from the original manuscript.

See the file README.txt for more information about data structure and processing.

• 2023-07-24 first online

• 2023-08-18 published, posted

4TU.ResearchData

The data files are in plain text format (.txt) or binary (.npy). Data processing is done in Jupyter-Lab (.ipynb). Images are given in the formats .pdf and .png

Pattern formation of spherical particles in an oscillating flow

• https://doi.org/10.48550/arXiv.2305.01564

• NWO EINF-2132 (grant code EINF2132) NWO

TU Eindhoven, Department of Applied Physics and Science Education, Fluids and Flows group;
TU Delft, J.M. Burgerscentrum