Stuttgart Center for Simulation Science (SC SimTech)

EXC 2075 Project Networks

SIGDIUS

Projects without PN Affiliation

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5,841 to 5,850 of 25,451 Results

requirements.txt Dec 16, 2024 - Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems Plain Text - 317 B - MD5: 19ec6243d4e8986aba83295a148557d7 Python packages used for the experiments.
preCICE-v3.1.1.tar.gz Dec 16, 2024 - Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems Gzip Archive - 1.6 MB - MD5: 3d5b9aa87e5b0e35901cb8f8fb5f475b preCICE version 3.1.1, which was used for the experiments
ASTE.tar.gz Dec 16, 2024 - Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems Gzip Archive - 1.1 MB - MD5: 33dca0ac733b93afa2ff50b755f48ddd The artificial solver testing environment.
README.md Dec 16, 2024 - Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems Markdown Text - 9.8 KB - MD5: 86ea29d28cb567ff38ee537e7660ad21 Description of the data repository, software dependencies and installation instructions for preCICE and ASTE.
experimental-setups.tar.gz Dec 16, 2024 - Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems Gzip Archive - 4.9 MB - MD5: a40fb97b008c107ea2c9fa66de879d0b Setup files and results files (csv)
PN 3A-9(Universität Stuttgart) Dec 13, 2024PN 3 Bottom-up modelling of COF/electrode systems for CO2 reduction in confinement
PN 1-4(Universität Stuttgart) Dec 11, 2024PN 1 SimTech Project PN 1-4 "Image-based morphological characterization of multiphase porous media flow"
args.yaml Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage Unknown - 165 B - MD5: ace3532bd852f4d3cbbad822fb9e9889
args.yaml Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage Unknown - 164 B - MD5: 04074ce881f8e0dd010c2b2c2c217078
avg_error_xy_slice.png Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage PNG Image - 17.1 KB - MD5: 9219aac3bbf6162645ee43188f48ba28

requirements.txt

Dec 16, 2024 - Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems

Plain Text - 317 B -

Python packages used for the experiments.

preCICE-v3.1.1.tar.gz

Dec 16, 2024 - Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems

Gzip Archive - 1.6 MB -

preCICE version 3.1.1, which was used for the experiments

ASTE.tar.gz

Dec 16, 2024 - Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems

Gzip Archive - 1.1 MB -

The artificial solver testing environment.

README.md

Dec 16, 2024 - Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems

Markdown Text - 9.8 KB -

Description of the data repository, software dependencies and installation instructions for preCICE and ASTE.

experimental-setups.tar.gz

Dec 16, 2024 - Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems

Gzip Archive - 4.9 MB -

Setup files and results files (csv)

PN 3A-9(Universität Stuttgart)

Dec 13, 2024PN 3

Bottom-up modelling of COF/electrode systems for CO2 reduction in confinement

PN 1-4(Universität Stuttgart)

Dec 11, 2024PN 1

SimTech Project PN 1-4 "Image-based morphological characterization of multiphase porous media flow"

args.yaml

Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage

Unknown - 165 B -

args.yaml

Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage

Unknown - 164 B -

avg_error_xy_slice.png

Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage

PNG Image - 17.1 KB -

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