Stuttgart Center for Simulation Science (SC SimTech)

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81 to 90 of 348 Results

PN 1-4(Universität Stuttgart) Dec 11, 2024PN 1 SimTech Project PN 1-4 "Image-based morphological characterization of multiphase porous media flow"
Models and Prepared Datasets for 3D-CNN - First Stage Nov 26, 2024 - Surrogate models for groundwater flow simulations Trick, Johanna, 2024, "Models and Prepared Datasets for 3D-CNN - First Stage", https://doi.org/10.18419/DARUS-4534, DaRUS, V1 Models trained with Heat Plume Prediction 3D and datasets prepared with Heat Plume Prediction 3D into reasonable format, normalization used to train these models. Based on raw data from doi:darus-4533.
Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points Nov 26, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points", https://doi.org/10.18419/DARUS-4533, DaRUS, V1 These data sets serve as training data for modelling the temperature field emanating from a groundwater heat pump. They are simulated with Pflotran and saved in h5 format. They contain 100 and 1000 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 320 m x 1280 m x 320 m with 64 x 256 x...
PN 6-15(Universität Stuttgart) Nov 20, 2024PN 6 This Dataverse contains replication data and visualizations from Project Network 6-15: Machine Learning and Reservoir Computing with Many-Body Dynamics. The project is part of SimTech’s Project Network 6, Machine Learning for Simulation (https://www.simtech.uni-stuttgart.de/exc/research/pn/pn6/ ). The Dataverse includes simulations of non-equilibri...
PN 2-8 Siebert(Universität Stuttgart) Nov 19, 2024PN 2 SimTech Project PN 2-8 Siebert "Modelling of architectural-informed and activation-driven contractions of the human M. tibialis anterior"
ASTE: An artificial solver testing environment for partitioned coupling with preCICE Nov 12, 2024 - Usability and Sustainability of Simulation Software Schneider, David; Yurt, Muhammed Kürşat; Simonis, Frédéric; Uekermann, Benjamin, 2024, "ASTE: An artificial solver testing environment for partitioned coupling with preCICE", https://doi.org/10.18419/DARUS-4562, DaRUS, V2 This dataset contains a software archive of the artificial solver testing environment ASTE (version v3.3.0), its corresponding documentation (as a PDF) and the compatible ASTE turbine tutorial. The documentation of ASTE is its README.md (in 'docs/README.md') converted to a PDF. The turbine tutorial is part of the preCICE tutorials in the preCICE di...
Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow Nov 12, 2024 - Dataverse-PN-X Heinemann, Moritz; Potyka, Johanna; Schulte, Kathrin; Sadlo, Filip; Ertl, Thomas, 2024, "Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow", https://doi.org/10.18419/DARUS-4225, DaRUS, V1 Collision of a droplet chain of a 50% water-glycerol solution colliding with a continuous jet of silicon oil M5, which is a combination of immiscible liquids. The collision process leads to the separation of compound droplets, i.e., the droplets are encapsulated by the jet's liquid. The Cartesian simulation grid originally had a size of 2048 x 1024...
Supplementary Data for 'Vastly different energy landscapes of the membrane insertions of monomeric gasdermin D and A3' Nov 7, 2024 - PN 3-11 Korn, Viktoria Helena; Pluhackova, Kristyna, 2024, "Supplementary Data for 'Vastly different energy landscapes of the membrane insertions of monomeric gasdermin D and A3'", https://doi.org/10.18419/DARUS-4474, DaRUS, V1 Simulation files, molecular structures and trajectories, and jupyter notebooks used for analysis underlaying our publication on membrane insertion of monomeric gasdermin D to E. coli polar lipid extract (PLE). In detail: charmm36-july2017.ff simulation directory for GROMACS 202X used and useful gromacs files (topologies and mdp files) jupyter noteb...
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data [NeurIPS, arXiv v2] Nov 5, 2024 - PN 6-3 Holzmüller, David; Grinsztajn, Léo; Steinwart, Ingo, 2024, "Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data [NeurIPS, arXiv v2]", https://doi.org/10.18419/DARUS-4555, DaRUS, V1 This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data", specifically, the NeurIPS version which is also the second version on arXiv. The main code is provided in pytabkit_code.zip and contains further documentation in README.md and the docs folder. The main code is also provide...
Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions Nov 5, 2024 - Surrogate models for groundwater flow simulations Miliczek, Pascal, 2024, "Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions", https://doi.org/10.18419/DARUS-4530, DaRUS, V1 Prepared datasets and models for modeling orientational variation in heat plume prediction in groundwater. Models were trained with 1HP NN equivariance. File name explanation: 4d The (used) dataset encompasses only cardinal flow directions. rd The (used) dataset encompasses random flow directions in the 2D plane. 1000dp The (used) dataset consists...

PN 1-4(Universität Stuttgart)

Dec 11, 2024PN 1

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

Models and Prepared Datasets for 3D-CNN - First Stage

Nov 26, 2024 - Surrogate models for groundwater flow simulations

Trick, Johanna, 2024, "Models and Prepared Datasets for 3D-CNN - First Stage", https://doi.org/10.18419/DARUS-4534, DaRUS, V1

Models trained with Heat Plume Prediction 3D and datasets prepared with Heat Plume Prediction 3D into reasonable format, normalization used to train these models. Based on raw data from doi:darus-4533.

Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points

Nov 26, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points", https://doi.org/10.18419/DARUS-4533, DaRUS, V1

These data sets serve as training data for modelling the temperature field emanating from a groundwater heat pump. They are simulated with Pflotran and saved in h5 format. They contain 100 and 1000 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 320 m x 1280 m x 320 m with 64 x 256 x...

PN 6-15(Universität Stuttgart)

Nov 20, 2024PN 6

This Dataverse contains replication data and visualizations from Project Network 6-15: Machine Learning and Reservoir Computing with Many-Body Dynamics. The project is part of SimTech’s Project Network 6, Machine Learning for Simulation (https://www.simtech.uni-stuttgart.de/exc/research/pn/pn6/ ). The Dataverse includes simulations of non-equilibri...

PN 2-8 Siebert(Universität Stuttgart)

Nov 19, 2024PN 2

SimTech Project PN 2-8 Siebert "Modelling of architectural-informed and activation-driven contractions of the human M. tibialis anterior"

ASTE: An artificial solver testing environment for partitioned coupling with preCICE

Nov 12, 2024 - Usability and Sustainability of Simulation Software

Schneider, David; Yurt, Muhammed Kürşat; Simonis, Frédéric; Uekermann, Benjamin, 2024, "ASTE: An artificial solver testing environment for partitioned coupling with preCICE", https://doi.org/10.18419/DARUS-4562, DaRUS, V2

This dataset contains a software archive of the artificial solver testing environment ASTE (version v3.3.0), its corresponding documentation (as a PDF) and the compatible ASTE turbine tutorial. The documentation of ASTE is its README.md (in 'docs/README.md') converted to a PDF. The turbine tutorial is part of the preCICE tutorials in the preCICE di...

Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow

Nov 12, 2024 - Dataverse-PN-X

Heinemann, Moritz; Potyka, Johanna; Schulte, Kathrin; Sadlo, Filip; Ertl, Thomas, 2024, "Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow", https://doi.org/10.18419/DARUS-4225, DaRUS, V1

Collision of a droplet chain of a 50% water-glycerol solution colliding with a continuous jet of silicon oil M5, which is a combination of immiscible liquids. The collision process leads to the separation of compound droplets, i.e., the droplets are encapsulated by the jet's liquid. The Cartesian simulation grid originally had a size of 2048 x 1024...

Supplementary Data for 'Vastly different energy landscapes of the membrane insertions of monomeric gasdermin D and A3'

Nov 7, 2024 - PN 3-11

Korn, Viktoria Helena; Pluhackova, Kristyna, 2024, "Supplementary Data for 'Vastly different energy landscapes of the membrane insertions of monomeric gasdermin D and A3'", https://doi.org/10.18419/DARUS-4474, DaRUS, V1

Simulation files, molecular structures and trajectories, and jupyter notebooks used for analysis underlaying our publication on membrane insertion of monomeric gasdermin D to E. coli polar lipid extract (PLE). In detail: charmm36-july2017.ff simulation directory for GROMACS 202X used and useful gromacs files (topologies and mdp files) jupyter noteb...

Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data [NeurIPS, arXiv v2]

Nov 5, 2024 - PN 6-3

Holzmüller, David; Grinsztajn, Léo; Steinwart, Ingo, 2024, "Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data [NeurIPS, arXiv v2]", https://doi.org/10.18419/DARUS-4555, DaRUS, V1

This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data", specifically, the NeurIPS version which is also the second version on arXiv. The main code is provided in pytabkit_code.zip and contains further documentation in README.md and the docs folder. The main code is also provide...

Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions

Nov 5, 2024 - Surrogate models for groundwater flow simulations

Miliczek, Pascal, 2024, "Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions", https://doi.org/10.18419/DARUS-4530, DaRUS, V1

Prepared datasets and models for modeling orientational variation in heat plume prediction in groundwater. Models were trained with 1HP NN equivariance. File name explanation: 4d The (used) dataset encompasses only cardinal flow directions. rd The (used) dataset encompasses random flow directions in the 2D plane. 1000dp The (used) dataset consists...

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