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

Link:

https://doi.org/10.25592/uhhfdm.14236

Autor/in:

Kiffner, Martin

Verlag/Körperschaft:

Universität Hamburg

Erscheinungsjahr:

2024

Medientyp:

Datensatz

Schlagworte:

qcfd
tensor networks
direct numerical solver
computational physics
fluid dynamics

Beschreibung:

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.

For a detailed description, please see the attached PowerPoint presentation.

Beziehungen:

DOI 10.25592/uhhfdm.14235

Lizenzen:

https://creativecommons.org/licenses/by/4.0/legalcode
info:eu-repo/semantics/openAccess

Quellsystem:

Forschungsdatenrepositorium der UHH

Interne Metadaten

Quelldatensatz: oai:fdr.uni-hamburg.de:14236