Stuttgart Center for Simulation Science (SC SimTech)

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21 to 30 of 299 Results

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
Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps Jan 7, 2025 - Surrogate models for groundwater flow simulations Zhang, Xiaoyu, 2024, "Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps", https://doi.org/10.18419/DARUS-4518, DaRUS, V3 Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file contains all prepared datapoints with a single heat pump. The input data fields are pressure, permeability, position of the heat pump, normalized distance to the heat pump, and tempe...
Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks Dec 19, 2024 - Surrogate models for groundwater flow simulations Hofmann, Johanna, 2024, "Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks", https://doi.org/10.18419/DARUS-4514, DaRUS, V2 The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset preparation is published. The last relevant git commit is 0a148e6131b98260. The prepared dataset for training is called ep_medium_1000dp_only_vary_dist inputs_ks. It consists o...
PN 3A-8(Universität Stuttgart) Dec 17, 2024PN 3 SimTech PN 3A-8: "Certified Coupled Model Order Reduction (CCMOR)"
PN 3-5(Universität Stuttgart) Dec 17, 2024PN 3 SimTech Project PN 3-5 "Data-integrated Multiscale Modeling of Diffusion-driven Processes in Porous Media" and SimTech Project PN 3-5 (II) "Data-driven multi-scale stability analysis of multi-stimuli-responsive hydrogels"
Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems Dec 16, 2024 - Usability and Sustainability of Simulation Software Schneider, David; Uekermann, Benjamin, 2024, "Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems", https://doi.org/10.18419/DARUS-4168, DaRUS, V1 This dataset contains software (preCICE v3.1.1 and ASTE) as well as setup files and instructions to reproduce the experiments of Schneider and Uekermann "Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems". We, moreover, provide the actual results. See the README for information on how to build and rerun the cases...
PN 3A-9(Universität Stuttgart) Dec 13, 2024PN 3 Bottom-up modelling of COF/electrode systems for CO2 reduction in confinement

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

Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

Jan 7, 2025 - Surrogate models for groundwater flow simulations

Zhang, Xiaoyu, 2024, "Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps", https://doi.org/10.18419/DARUS-4518, DaRUS, V3

Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file contains all prepared datapoints with a single heat pump. The input data fields are pressure, permeability, position of the heat pump, normalized distance to the heat pump, and tempe...

Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks

Dec 19, 2024 - Surrogate models for groundwater flow simulations

Hofmann, Johanna, 2024, "Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks", https://doi.org/10.18419/DARUS-4514, DaRUS, V2

The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset preparation is published. The last relevant git commit is 0a148e6131b98260. The prepared dataset for training is called ep_medium_1000dp_only_vary_dist inputs_ks. It consists o...

PN 3A-8(Universität Stuttgart)

Dec 17, 2024PN 3

SimTech PN 3A-8: "Certified Coupled Model Order Reduction (CCMOR)"

PN 3-5(Universität Stuttgart)

Dec 17, 2024PN 3

SimTech Project PN 3-5 "Data-integrated Multiscale Modeling of Diffusion-driven Processes in Porous Media" and SimTech Project PN 3-5 (II) "Data-driven multi-scale stability analysis of multi-stimuli-responsive hydrogels"

Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems

Dec 16, 2024 - Usability and Sustainability of Simulation Software

Schneider, David; Uekermann, Benjamin, 2024, "Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems", https://doi.org/10.18419/DARUS-4168, DaRUS, V1

This dataset contains software (preCICE v3.1.1 and ASTE) as well as setup files and instructions to reproduce the experiments of Schneider and Uekermann "Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems". We, moreover, provide the actual results. See the README for information on how to build and rerun the cases...

PN 3A-9(Universität Stuttgart)

Dec 13, 2024PN 3

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

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