Output Data of Tensor network reduced order models for wall-bounded flows
收藏DataCite Commons2024-04-24 更新2025-04-16 收录
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https://www.fdr.uni-hamburg.de/record/14236
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资源简介：
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.
提供机构：
Universität Hamburg
创建时间：
2024-04-24
