Published June 26, 2025
| Version v1
Dataset
Open
Information-optimal mixing at low Reynolds number [data set]
Authors/Creators
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1.
Max Planck Institute for Dynamics and Self-Organization
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2.
Jožef Stefan Institute
Description
Jupyter notebook with Python code to perform numerical optimisation of mutual information for planar shear flow problems and compare performance of random protocols with theoretical bounds. Figs.2 and 3 of the relevant publication can be reproduced by running the code cell by cell in order of appearance. Datapoints of theoretical bounds for pure and simple shear are provided as separate .npy files.
See publication:
Information-optimal mixing at low Reynolds number
Luca Cocconi, Yihong Shi, Andrej Vilfan
Files
Figures_from_manuscript.ipynb
Files
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Additional details
Related works
- Is described by
- Publication: 10.1103/cl9m-cmhb (DOI)
Funding
- Alexander von Humboldt Foundation
- The Slovenian Research and Innovation Agency
- P1-0099