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: 10.4121/4603f510-007a-4354-b40c-8ab4eaca07cf

Overveld, van, Timo; Ellenbroek, Wouter; Meijer, Janne-Mieke; Herman Clercx; Duran-Matute, Matias (2024): Dataset underlying the publication: From hydrodynamics to dipolar colloids: modeling complex interactions and self-organization with generalized potentials. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4603f510-007a-4354-b40c-8ab4eaca07cf.v1

Dataset

• Classical Physics
• Physical Sciences

Direct Numerical Simulations, Experiments, Fluid Dynamics, Immersed Boundary Method, Mermaid potential, Mermaid Potential, Monte Carlo Simulations, Oscillating Flows, Particle-laden Flows, Self-organization, Siren potential, Steady Streaming

CC0

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

by Timo Overveld, van , Wouter Ellenbroek , Meijer, Janne-Mieke , Herman Clercx , Matias Duran-Matute

This data set contains all the data to reproduce the results presented in the manuscript titled 'From hydrodynamics to dipolar colloids: modeling complex interactions and self-organization with generalized potentials'.

All data processing is done in Jupyter-Lab.

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.

• 2024-06-14 first online, 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

From hydrodynamics to dipolar colloids: modeling complex interactions and self-organization with generalized potentials

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