Output Data of Tensor network reduced order models for wall-bounded flows

DOI

Simulation data of the two-dimensional, lid-driven and doubly-driven cavity. Solved with tensor network algorithms in the streamfunction-vorticity approach demonstrated in Kiffner, Martin and Jaksch, Dieter (2023) PhysRevFluids.8.124101.

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Identifier
DOI https://doi.org/10.25592/uhhfdm.14236
Related Identifier IsPartOf https://doi.org/10.25592/uhhfdm.14235
Metadata Access https://www.fdr.uni-hamburg.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:fdr.uni-hamburg.de:14236
Provenance
Creator Kiffner, Martin ORCID logo
Publisher Universität Hamburg
Publication Year 2024
Rights Creative Commons Attribution 4.0 International; Open Access; https://creativecommons.org/licenses/by/4.0/legalcode; info:eu-repo/semantics/openAccess
OpenAccess true
Representation
Resource Type Dataset
Discipline Natural Sciences; Physics