Stuttgart Center for Simulation Science (SC SimTech)

EXC 2075 Project Networks

SIGDIUS

Projects without PN Affiliation

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 10 of 289 Results

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.
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...
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...
PN 6-8 (II)(Universität Stuttgart) Mar 28, 2025PN 6 Spatiotemporal ensembles often result from physical simulations. These ensembles contain many information-rich members, each corresponding to different simulation input parameters. The extensive data size makes manual analysis infeasible, necessitating automated approaches to assist the analysis. In the preceding project (PN 6-8 (I)), methods and t...
Matlab Code and Data for: Data-driven geometric parameter optimization for PD-GMRES Mar 11, 2025 - PN 5-13 Duvenbeck, Lennart; Riethmüller, Cedric; Rohde, Christian, 2025, "Matlab Code and Data for: Data-driven geometric parameter optimization for PD-GMRES", https://doi.org/10.18419/DARUS-4812, DaRUS, V1 This repository contains the Matlab code and generated data for the manuscript "Data-driven geometric parameter optimization for PD-GMRES" which uses a quadtree approach to optimize parameters for the iterative solver PD-GMRES. It includes hardware specific data to allow for reproducibity of our results. Our calculations were performed using MATLAB...
PN 5-13(Universität Stuttgart) Mar 4, 2025PN 5 Solvers for hybrid modelling in porous media
Replication Data for: Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model Feb 12, 2025 - Usability and Sustainability of Simulation Software Homs-Pons, Carme; Schneider, David; Simonis, Frédéric; Schulte, Miriam; Uekermann, Benjamin, 2024, "Replication Data for: Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model", https://doi.org/10.18419/DARUS-4228, DaRUS, V2 This dataset contains software (preCICE v3.1.2, OpenDiHu, deal.II-based solver and ASTE) as well as setup files and instructions to reproduce the experiments "Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model". The actual results of the experiments are also included. See the README file for more information ab...
Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures $Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures$ Jan 14, 2025 - PN 1-X Keim, Leon; Class, Holger, 2024, "Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/DARUS-4143, DaRUS, V2 This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes raw data packaged in tarball format, including Python scripts used to derive the results presented in the publication. High-reso...
gspine: A Human Spine Model Built Using Literature Data Jan 13, 2025 - demoa Hammer, Maria; Riede, Julia Maria; Meszaros-Beller, Laura; Schmitt, Syn, 2022, "gspine: A Human Spine Model Built Using Literature Data", https://doi.org/10.18419/DARUS-2814, DaRUS, V4 A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The model is prepared to run muscle-driven simulations using a simple biological motor control model. The file contains an archive including all relevant data to run the simulation...
PN 3-15(Universität Stuttgart) Jan 10, 2025PN 3 Bottom-up modeling of conducting porous materials via molecular simulation

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.

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...

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...

PN 6-8 (II)(Universität Stuttgart)

Mar 28, 2025PN 6

Spatiotemporal ensembles often result from physical simulations. These ensembles contain many information-rich members, each corresponding to different simulation input parameters. The extensive data size makes manual analysis infeasible, necessitating automated approaches to assist the analysis. In the preceding project (PN 6-8 (I)), methods and t...

Matlab Code and Data for: Data-driven geometric parameter optimization for PD-GMRES

Mar 11, 2025 - PN 5-13

Duvenbeck, Lennart; Riethmüller, Cedric; Rohde, Christian, 2025, "Matlab Code and Data for: Data-driven geometric parameter optimization for PD-GMRES", https://doi.org/10.18419/DARUS-4812, DaRUS, V1

This repository contains the Matlab code and generated data for the manuscript "Data-driven geometric parameter optimization for PD-GMRES" which uses a quadtree approach to optimize parameters for the iterative solver PD-GMRES. It includes hardware specific data to allow for reproducibity of our results. Our calculations were performed using MATLAB...

PN 5-13(Universität Stuttgart)

Mar 4, 2025PN 5

Solvers for hybrid modelling in porous media

Replication Data for: Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model

Feb 12, 2025 - Usability and Sustainability of Simulation Software

Homs-Pons, Carme; Schneider, David; Simonis, Frédéric; Schulte, Miriam; Uekermann, Benjamin, 2024, "Replication Data for: Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model", https://doi.org/10.18419/DARUS-4228, DaRUS, V2

This dataset contains software (preCICE v3.1.2, OpenDiHu, deal.II-based solver and ASTE) as well as setup files and instructions to reproduce the experiments "Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model". The actual results of the experiments are also included. See the README file for more information ab...

Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures

$Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures$

Jan 14, 2025 - PN 1-X

Keim, Leon; Class, Holger, 2024, "Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/DARUS-4143, DaRUS, V2

This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes raw data packaged in tarball format, including Python scripts used to derive the results presented in the publication. High-reso...

gspine: A Human Spine Model Built Using Literature Data

Jan 13, 2025 - demoa

Hammer, Maria; Riede, Julia Maria; Meszaros-Beller, Laura; Schmitt, Syn, 2022, "gspine: A Human Spine Model Built Using Literature Data", https://doi.org/10.18419/DARUS-2814, DaRUS, V4

A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The model is prepared to run muscle-driven simulations using a simple biological motor control model. The file contains an archive including all relevant data to run the simulation...

PN 3-15(Universität Stuttgart)

Jan 10, 2025PN 3

Bottom-up modeling of conducting porous materials via molecular simulation

Add Data

Share Dataverse

Link Dataverse

Reset Modifications