Dataset Open Access
{"@context":"https://schema.org/","@id":"http://doi.org/10.25592/uhhfdm.14236","@type":"Dataset","creator":[{"@id":"https://orcid.org/0000-0002-8321-6768","@type":"Person","affiliation":"PlanQC GmbH","name":"Kiffner, Martin"}],"datePublished":"2024-04-24","description":"<p>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.</p>\n\n<p>For a detailed description, please see the attached PowerPoint presentation.</p>","distribution":[{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/e9e93c03-b4a0-46f2-b8da-6372772d4ce4/DataDescription.pptx","encodingFormat":"pptx"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/e9e93c03-b4a0-46f2-b8da-6372772d4ce4/QCFD_data.zip","encodingFormat":"zip"}],"identifier":"http://doi.org/10.25592/uhhfdm.14236","keywords":["qcfd","tensor networks","direct numerical solver","computational physics","fluid dynamics"],"license":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Output Data of Tensor network reduced order models for wall-bounded flows","url":"https://www.fdr.uni-hamburg.de/record/14236"}