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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01zw12z8154
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dc.contributorStatt, Antonia-
dc.contributor.otherWelch Foundation (Grant No. F-1696)en_US
dc.contributor.otherPrinceton Center for Complex Materials (Grant No. DMR-1420541)en_US
dc.creatorStatt, Antonia-
dc.creatorHoward, Michael P.-
dc.creatorStone, Howard A.-
dc.creatorTruskett, Thomas M.-
dc.date.accessioned2019-10-09T18:44:57Z-
dc.date.available2019-10-09T18:44:57Z-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01zw12z8154-
dc.description.abstractForce-driven parallel shear flow in a spatially periodic domain is shown to be linearly unstable with respect to both the Reynolds number and the domain aspect ratio. This finding is confirmed by computer simulations, and a simple expression is derived to determine stable flow conditions. Periodic extensions of Couette and Poiseuille flows are unstable at Reynolds numbers two orders of magnitude smaller than their aperiodic equivalents because the periodic boundaries impose fundamentally different constraints. This instability has important implications for designing computational models of nonlinear dynamic processes with periodicity.en_US
dc.description.tableofcontentsThis dataset contains the data for the publication: https://arxiv.org/abs/1907.07086. The simulations were performed with HOOMD-blue https://hoomd-blue.readthedocs.io/ (version 2.6.0) and data were collected and managed with signac https://docs.signac.io (version 0.7.1) a python workflow manager. Signac generates a workspace, statepoints and submits jobs, which are then run by HOOMD. Please see the README file for detailed description of the dataset structure.en_US
dc.language.isoen_USen_US
dc.publisherPrincetonUniversity, Department of Chemical and Biological Engineeringen_US
dc.titleInstability of shear flows in spatially periodic domainsen_US
dc.typeDataseten_US
Appears in Collections:MAE Research Data Sets

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