Stuttgart Center for Simulation Science (SC SimTech)

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171 to 180 of 21,172 Results

disc_brake_with_hole_ref_coords.npy Apr 29, 2025 - Coupled thermo-mechanical simulation results of a finite element discbrake Unknown - 4.7 KB - MD5: 8fa7f297bcdc23d74eab8be30ead95f1 Data
Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations Apr 16, 2025 - Usability and Sustainability of Simulation Software Tucciarone, Fabio, 2025, "Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations", https://doi.org/10.18419/DARUS-4790, DaRUS, V1 This data set contains all test cases and measurements referenced in the Bachelor's Thesis "Greedy-kernel algorithms for data mapping in multiphysics simulations". It also contains the modified code of preCICE and ASTE used to execute these test cases.
aste.tar.gz Apr 16, 2025 - Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations Gzip Archive - 1.3 MB - MD5: 1c584dee38662cd3e66bb7677dbe87ce Modified version of ASTE 3.3.0.
greedy_tests.tar.gz Apr 16, 2025 - Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations Gzip Archive - 2.8 MB - MD5: 15e25ddb4ab10270939842f6b77f6009 Test cases and mesh files.
precice.tar.gz Apr 16, 2025 - Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations Gzip Archive - 1.6 MB - MD5: 57f412b5a41fd6baf84e3e22721c9180 Modified version of preCICE 3.1.2
readme.md Apr 16, 2025 - Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations Markdown Text - 1008 B - MD5: 9bc34f475d7aeffb0e803de6b1002962
Data for: ART-SM: Boosting Fragment-Based Backmapping by Machine Learning Apr 16, 2025 - PN 3-11 Pluhackova, Kristyna; Pfaendner, Christian; Unger, Benjamin; Korn, Viktoria Helena, 2025, "Data for: ART-SM: Boosting Fragment-Based Backmapping by Machine Learning", https://doi.org/10.18419/DARUS-4134, DaRUS, V1 The simulation files, molecule topologies, and analysis workflows required to generate the results of our paper 'ART-SM: Boosting Fragment-Based Backmapping by Machine Learning' published in J. Chem. Theory Comput.. In details: simulations.tar.gz: Contains the pdb (molecular structure), xtc (trajectory), mdp (MD parameters), itp (topology), and top...
simulations.tar.gz Apr 16, 2025 - Data for: ART-SM: Boosting Fragment-Based Backmapping by Machine Learning Gzip Archive - 3.5 GB - MD5: 29446eb0163201b09183cd448e4fc350 Contains the pdb (molecular structure), xtc (trajectory), mdp (MD parameters), itp (topology), and top (topology) files. GROMACS 2021 or 2023 was used for the simulations (see paper for details). Additionally, ART-SM and Backward mapping files from coarse-grained to atomistic resolution are included.
workflows.tar.gz Apr 16, 2025 - Data for: ART-SM: Boosting Fragment-Based Backmapping by Machine Learning Gzip Archive - 178.8 KB - MD5: 35b10d2aa63dd1e4aef4aeaa202c34df Snakefiles and python/bash scripts to reproduce the results in the paper. The actual results are not included.
Replication Data for: An entropy-based evaluation of conceptual constraints in hybrid hydrological models Apr 9, 2025 - PN 6A-4 Álvarez Chaves, Manuel, 2025, "Replication Data for: An entropy-based evaluation of conceptual constraints in hybrid hydrological models", https://doi.org/10.18419/DARUS-4920, DaRUS, V1, UNF:6:i3yM0uireOQetNHaTVPKfg== [fileUNF] Hybrid Models for Hydrology This repository contains code for the paper "When physics gets in the way: an entropy-based evaluation of conceptual constraints in hybrid hydrological models" submitted to Hydrology and Earth Systems Science (HESS). In this repository we have included the 'Hy2DL' and 'unite_toolbox' libraries in the versions they used f...

disc_brake_with_hole_ref_coords.npy

Apr 29, 2025 - Coupled thermo-mechanical simulation results of a finite element discbrake

Unknown - 4.7 KB -

Data

Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations

Apr 16, 2025 - Usability and Sustainability of Simulation Software

Tucciarone, Fabio, 2025, "Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations", https://doi.org/10.18419/DARUS-4790, DaRUS, V1

This data set contains all test cases and measurements referenced in the Bachelor's Thesis "Greedy-kernel algorithms for data mapping in multiphysics simulations". It also contains the modified code of preCICE and ASTE used to execute these test cases.

aste.tar.gz

Apr 16, 2025 - Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations

Gzip Archive - 1.3 MB -

Modified version of ASTE 3.3.0.

greedy_tests.tar.gz

Apr 16, 2025 - Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations

Gzip Archive - 2.8 MB -

Test cases and mesh files.

precice.tar.gz

Apr 16, 2025 - Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations

Gzip Archive - 1.6 MB -

Modified version of preCICE 3.1.2

readme.md

Apr 16, 2025 - Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations

Markdown Text - 1008 B -

Data for: ART-SM: Boosting Fragment-Based Backmapping by Machine Learning

Apr 16, 2025 - PN 3-11

Pluhackova, Kristyna; Pfaendner, Christian; Unger, Benjamin; Korn, Viktoria Helena, 2025, "Data for: ART-SM: Boosting Fragment-Based Backmapping by Machine Learning", https://doi.org/10.18419/DARUS-4134, DaRUS, V1

The simulation files, molecule topologies, and analysis workflows required to generate the results of our paper 'ART-SM: Boosting Fragment-Based Backmapping by Machine Learning' published in J. Chem. Theory Comput.. In details: simulations.tar.gz: Contains the pdb (molecular structure), xtc (trajectory), mdp (MD parameters), itp (topology), and top...

simulations.tar.gz

Apr 16, 2025 - Data for: ART-SM: Boosting Fragment-Based Backmapping by Machine Learning

Gzip Archive - 3.5 GB -

Contains the pdb (molecular structure), xtc (trajectory), mdp (MD parameters), itp (topology), and top (topology) files. GROMACS 2021 or 2023 was used for the simulations (see paper for details). Additionally, ART-SM and Backward mapping files from coarse-grained to atomistic resolution are included.

workflows.tar.gz

Apr 16, 2025 - Data for: ART-SM: Boosting Fragment-Based Backmapping by Machine Learning

Gzip Archive - 178.8 KB -

Snakefiles and python/bash scripts to reproduce the results in the paper. The actual results are not included.

Replication Data for: An entropy-based evaluation of conceptual constraints in hybrid hydrological models

Apr 9, 2025 - PN 6A-4

Álvarez Chaves, Manuel, 2025, "Replication Data for: An entropy-based evaluation of conceptual constraints in hybrid hydrological models", https://doi.org/10.18419/DARUS-4920, DaRUS, V1, UNF:6:i3yM0uireOQetNHaTVPKfg== [fileUNF]

Hybrid Models for Hydrology This repository contains code for the paper "When physics gets in the way: an entropy-based evaluation of conceptual constraints in hybrid hydrological models" submitted to Hydrology and Earth Systems Science (HESS). In this repository we have included the 'Hy2DL' and 'unite_toolbox' libraries in the versions they used f...

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