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Feb 13, 2024 - PDEBench Datasets
Hierarchical Data Format - 7.7 GB - MD5: e6d9a4f62baf9a29121a816b919e2770
DATA
Feb 13, 2024 - PDEBench Datasets
Hierarchical Data Format - 7.7 GB - MD5: 16f4c7afaf8c16238be157e54c9297c7
DATA
Feb 13, 2024 - PDEBench Datasets
Hierarchical Data Format - 7.7 GB - MD5: 9021eba35332d127306f11ef84c1a60f
DATA
Feb 13, 2024 - PDEBench Datasets
Hierarchical Data Format - 7.7 GB - MD5: 70fe0c24d9313e70f6059e5212bdb3d7
DATA
Jan 11, 2024 - Projects without PN Affiliation
Magiera, Jim M., 2024, "Replication Data for: Constraint-aware neural networks for Riemann problems", https://doi.org/10.18419/DARUS-3869, DaRUS, V1
Data sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an isothermal two-phase model, and the Euler equations for an ideal gas. You can find detailed information in the README.md.
TAR Archive - 760.0 KB - MD5: ba5bd990d605c0ac0c59de0b2a6ad895
TAR Archive - 20.7 MB - MD5: 9bb9e60e0ecc41870542c44612b9534a
TAR Archive - 6.6 MB - MD5: 0ea50573c5d33f004f7f77b6605b40eb
Markdown Text - 1.8 KB - MD5: e76e479af26b075f6e89bb2ea3ea098d
Dec 22, 2023 - SFB 1333 C6 - Holm group, ICP
Tischler, Ingo; Schlaich, Alexander; Holm, Christian, 2023, "Replication data of C6 group for: "Disentanglement of surface and confinement effects for diene metathesis in mesoporous confinement"", https://doi.org/10.18419/DARUS-3642, DaRUS, V1
The simulation scripts and the simulation data of the journal article mentioned under related publications from C6 group can be found here. The data is structured according to figures and schemes in the research article and contains the following data types: compressed (tar) text data files and python scripts. The structure within the tar file is a...
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