SimTech EXC 2075 Project Network 5 "On-the-fly model modification, error control, and simulation adaptivity"
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91 to 100 of 1,108 Results
meshes.tar.gz
Oct 14, 2025 - Replication Data for: Data-Parallel RBF Interpolation
Gzip Archive - 2.4 MB - MD5: ad36a3ffbb5a6978c9866ede36a70e08
Subset of mesh files of the turbine blade as published in doi: 10.18419/darus-2491 (CC-BY-4.0)
precice-v3.2.0-patched.tar.gz
Oct 14, 2025 - Replication Data for: Data-Parallel RBF Interpolation
Gzip Archive - 1.7 MB - MD5: 1fd1f0603d647947a86818dfb8a872b9
preCICE v3.2.0 and minor changes.
requirements.txt
Oct 14, 2025 - Replication Data for: Data-Parallel RBF Interpolation
Plain Text - 576 B - MD5: 2dc1556c4e777d0db012ea96b5705f8d
Python packages used for postprocessing.
aste-v3.3.0-dev.tar.gz
Oct 14, 2025 - Replication Data for: Data-Parallel RBF Interpolation
Gzip Archive - 1.7 MB - MD5: 0440e46aa83da92f58b9ed07d95a095e
Version of ASTE used for the experiments.
experimental-setups.tar.gz
Oct 14, 2025 - Replication Data for: Data-Parallel RBF Interpolation
Gzip Archive - 301.5 KB - MD5: 6a2d354ca90673dee95297c9acd12a17
The experimental setups including the configuration, csv data files and PDF plots.
README.md
Oct 14, 2025 - Replication Data for: Data-Parallel RBF Interpolation
Markdown Text - 14.6 KB - MD5: c3ac586caa8ef8db0a9ac8f1db827512
README explaining the dataset and providing build and run instructions.
PN 5-2 (II)(Universität Stuttgart)
Sep 15, 2025
Fully-implicit local dynamic model adaptivity with machine-learned scale bridging
CFD-DEM_single_particle_sedimentation_results.tar.gz
Aug 15, 2025 - Replication Data for: Flexible mesh-particle coupling with preCICE
Gzip Archive - 2.1 GB - MD5: 1aed6f4066199410d8c20deb84f44dfb
CFD-DEM_fluidized_bed_profiling_results.tar.gz
Aug 15, 2025 - Replication Data for: Flexible mesh-particle coupling with preCICE
Gzip Archive - 684.3 MB - MD5: 6468ecdb0262f0bda784ccf6edb2128a
README.md
Aug 15, 2025 - Replication Data for: Flexible mesh-particle coupling with preCICE
Markdown Text - 2.3 KB - MD5: a499b1078b9be071931c2015d4b6ef60
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