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ZIP Archive - 4.2 KB - MD5: 0af2f546a7d00cd8a686c319f913c395
ZIP Archive - 5.9 KB - MD5: bc49b8ecd3ab9b2d811c73b4a6ab66c2
ZIP Archive - 5.6 KB - MD5: b22644162af3be138a0933660ab3056c
Apr 21, 2026
Schneider, David, 2025, "Replication Data for: Data-Parallel PU-RBF Interpolation", https://doi.org/10.18419/DARUS-5392, DaRUS, V2
This dataset contains software (preCICE and ASTE) as well as setup and result files to reproduce the numerical experiments in Section 5.3 of my dissertation titled "Flexible and Efficient Data Mapping for Simulation of Coupled Problems". For further instructions on how to run the experiments see the README.md of the dataset.
Gzip Archive - 1.7 MB - MD5: d3afd3d7f769763dc438921b2423fa25
preCICE develop version (commit 46ec278408994d86717bcd36800fa72507068b9e) and the additional PU-RBF GPU implementation.
Apr 9, 2026
Vinnitchenko, Niklas; Desai, Ishaan; Rodenberg, Benjamin; Hildebrand, Philip; Humbert, Angelika; Uekermann, Benjamin, 2026, "Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software", https://doi.org/10.18419/DARUS-5847, DaRUS, V1
This dataset contains software and result files for the publication: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software in the journal SoftwareX.
Gzip Archive - 28.1 KB - MD5: e68384b0ff72653c5c9d28544504577c
Source code of FEniCSx-preCICE: a preCICE adapter for FEniCSx
Gzip Archive - 3.4 MB - MD5: 7bd5e4f64112d8de203a97ce2939bb9d
Test cases with full setups.
Markdown Text - 784 B - MD5: a7b927cd70146ec49ae5b09bb329f3dd
Basic information about the dataset.
Nov 26, 2025
Schneider, David, 2025, "Replication Data for: A Modular Approach for Mesh-Particle Coupling", https://doi.org/10.18419/DARUS-5494, DaRUS, V1
This dataset contains software as well as setup and result files to reproduce the numerical experiments in Chapter 7 of my dissertation titled "Flexible and Efficient Data Mapping for Simulation of Coupled Problems". For further instructions on how to run the experiments see the README.md of the dataset.
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