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Structure · dataset · 2025

Data from: Orientational order in confined systems of self-driven spinners

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We investigated large systems of self-driven spinners confined over a substrate through direct numerical simulation of 3D hydrodynamics.

Description

Our results demonstrated that these systems generate unique flows from which spatial and orientational order emerges. We showed that a transition in particle orientation accompanies the appearance of crystallinity as the packing fraction is increased.

Further exploration revealed a rich, tunable state space, offering insights into the biophysics of natural microswimmers with rotational motion as well as into the design of synthetic spinner systems. This is a dataset of the simulations performed to generate the figures in the corresponding paper. The directories are organized by figure and subfigure.

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Raw simulation data are in the KAPSEL UDF format; please refer to the KAPSEL-DNS website and user manual for further details on this format. In addition, postprocessing and analysis scripts to read raw data, perform postprocessing calculations, and generate figures are supplied.

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Inferred from text
Simulation 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
DataCite10.5061/dryad.dbrv15ffr8 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
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concepts[field].fos:biological-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:materials-engineeringsource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:physical-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[method].local:method:simulationenrichment · DataCitekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · DataCiteconnector:datacite@1.0.0
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publication_datesource · DataCiteconnector:datacite@1.0.0/data/attributes/dates
titlesource · DataCiteconnector:datacite@1.0.0/data/attributes/titles/0/title
version_labelsource · DataCiteconnector:datacite@1.0.0