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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Information-optimal mixing at low Reynolds number [data set]

Research datakeyboard_double_arrow_right Dataset 26 Jun 2025Publisher:Zenodo
Authors: Cocconi, Luca; Shi, Yihong; Vilfan, Andrej;

doi: 10.5281/zenodo.15745302 , 10.5281/zenodo.15745301

Information-optimal mixing at low Reynolds number [data set]

Abstract

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 numberLuca Cocconi, Yihong Shi, Andrej Vilfan https://doi.org/10.1103/cl9m-cmhb

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average