Stuttgart Center for Simulation Science (SC SimTech)

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111 to 120 of 375 Results

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...
Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions Nov 5, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions", https://doi.org/10.18419/DARUS-4531, DaRUS, V1 Raw datasets for modeling orientational variation in heat plume prediction in groundwater. Used with 1HP NN equivariance. File name explanation: 4d The dataset encompasses only cardinal flow directions. rd The dataset encompasses random flow directions in the 2D plane. 1000dp The dataset consists of 1000 data points.
A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD Oct 21, 2024 - PN 4-4 Rosenfelder, Mario; Eschmann, Hannes; Eberhard, Peter; Ebel, Henrik, 2024, "A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD", https://doi.org/10.18419/DARUS-4538, DaRUS, V1 General This dataset contains real-world measurement data for data-based modeling of a differential-drive robot. The dataset is especially tailored for data-based modeling using Extended Dynamic Mode Decomposition (EDMD) for control-affine systems. It contains predecessor and successor pose data of the wheeled mobile robot (i.e., its position in th...
Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials Oct 8, 2024 - PN 3-10 Xu, Xiang; Zhang, Xi; Bitzek, Erik; Schmauder, Siegfried; Grabowski, Blazej, 2024, "Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials", https://doi.org/10.18419/DARUS-4480, DaRUS, V1 Data for the manuscript "Origin of the yield stress anomaly in L12 intermetallics unveiled with physically-informed machine-learning potentials", https://doi.org/10.1016/j.actamat.2024.120423. This data set contains: 1) the utilized moment-tensor-potentials (MTP) and the corresponding training sets; 2) The atomistic structure of 2delta Kear-Wilsdor...

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...

Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions

Nov 5, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions", https://doi.org/10.18419/DARUS-4531, DaRUS, V1

Raw datasets for modeling orientational variation in heat plume prediction in groundwater. Used with 1HP NN equivariance. File name explanation: 4d The dataset encompasses only cardinal flow directions. rd The dataset encompasses random flow directions in the 2D plane. 1000dp The dataset consists of 1000 data points.

A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD

Oct 21, 2024 - PN 4-4

Rosenfelder, Mario; Eschmann, Hannes; Eberhard, Peter; Ebel, Henrik, 2024, "A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD", https://doi.org/10.18419/DARUS-4538, DaRUS, V1

General This dataset contains real-world measurement data for data-based modeling of a differential-drive robot. The dataset is especially tailored for data-based modeling using Extended Dynamic Mode Decomposition (EDMD) for control-affine systems. It contains predecessor and successor pose data of the wheeled mobile robot (i.e., its position in th...

Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials

Oct 8, 2024 - PN 3-10

Xu, Xiang; Zhang, Xi; Bitzek, Erik; Schmauder, Siegfried; Grabowski, Blazej, 2024, "Replication Data for: Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials", https://doi.org/10.18419/DARUS-4480, DaRUS, V1

Data for the manuscript "Origin of the yield stress anomaly in L12 intermetallics unveiled with physically-informed machine-learning potentials", https://doi.org/10.1016/j.actamat.2024.120423. This data set contains: 1) the utilized moment-tensor-potentials (MTP) and the corresponding training sets; 2) The atomistic structure of 2delta Kear-Wilsdor...

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