Stuttgart Center for Simulation Science (SC SimTech)

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1 to 10 of 210 Results

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 suc...
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, 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 correspo...
Models and Prepared Datasets for LG-CNN Sep 17, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Models and Prepared Datasets for LG-CNN", https://doi.org/10.18419/darus-4467, DaRUS, V2 Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format, reduced set of in/outputs, 2D, normalization used to train these models. Last relevant git commit: cae87d68faf96b2bd8dab935. Based on raw data from doi:darus-4156.
Datasets: 6 Heat Pumps, Simulation - Raw + Prepared, 1000 Data Points Sep 13, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Datasets: 6 Heat Pumps, Simulation - Raw + Prepared, 1000 Data Points", https://doi.org/10.18419/darus-4473, DaRUS, V1 This dataset serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (six heat pumps, randomly placed). It is simulated with Pflotran and stored in h5 format. The dataset contains 1000 data points, each consisting of one...
Database for: Documenting Research in Simulation Science to Enhance Understanding for Reusability Sep 13, 2024 - Projects without PN Affiliation Hermann, Sibylle, 2024, "Database for: Documenting Research in Simulation Science to Enhance Understanding for Reusability", https://doi.org/10.18419/darus-4142, DaRUS, V1, UNF:6:mhHYSODfUq/dE3D6o/V/ww== [fileUNF] Replication Data for an analysis of research articles from computational mechanics, all using the software Pasimodo https://www.itm.uni-stuttgart.de/en/software/pasimodo/ Categories for analysing the articles: To understand the context of the citation, we classified the citations...
Raw Simulation Datasets for Extending Heat Plumes Sep 10, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Raw Simulation Datasets for Extending Heat Plumes", https://doi.org/10.18419/darus-4133, DaRUS, V2 These data sets serve as training and testing data for modelling the extension of temperature field emanating from one groundwater heat pump. There are simulated with Pflotran and saved in h5 format. The data set for training is called "dataset_medium_k_3e-10_1000dp". It contains...
Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points Sep 10, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points", https://doi.org/10.18419/darus-4156, DaRUS, V1 This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is simulated with Pflotran and saved in h5 format. The data set contains 3 data points, each consisting o...
ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package) Aug 27, 2024 - PN 7-6 Kneifl, Jonas; Rettberg, Johannes; Herb, Julius, 2024, "ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package)", https://doi.org/10.18419/darus-4446, DaRUS, V1 Software package for data-driven identification of latent port-Hamiltonian systems. Abstract Conventional physics-based modeling techniques involve high effort, e.g.~time and expert knowledge, while data-driven methods often lack interpretability, structure, and sometimes reliabi...
Replication Data for: Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model Aug 23, 2024 - 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, V1 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 expe...
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Aug 8, 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", https://doi.org/10.18419/darus-4255, DaRUS, V1 This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". 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 provided on Gi...

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 suc...

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, 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 correspo...

Models and Prepared Datasets for LG-CNN

Sep 17, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Models and Prepared Datasets for LG-CNN", https://doi.org/10.18419/darus-4467, DaRUS, V2

Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format, reduced set of in/outputs, 2D, normalization used to train these models. Last relevant git commit: cae87d68faf96b2bd8dab935. Based on raw data from doi:darus-4156.

Datasets: 6 Heat Pumps, Simulation - Raw + Prepared, 1000 Data Points

Sep 13, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Datasets: 6 Heat Pumps, Simulation - Raw + Prepared, 1000 Data Points", https://doi.org/10.18419/darus-4473, DaRUS, V1

This dataset serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (six heat pumps, randomly placed). It is simulated with Pflotran and stored in h5 format. The dataset contains 1000 data points, each consisting of one...

Database for: Documenting Research in Simulation Science to Enhance Understanding for Reusability

Sep 13, 2024 - Projects without PN Affiliation

Hermann, Sibylle, 2024, "Database for: Documenting Research in Simulation Science to Enhance Understanding for Reusability", https://doi.org/10.18419/darus-4142, DaRUS, V1, UNF:6:mhHYSODfUq/dE3D6o/V/ww== [fileUNF]

Replication Data for an analysis of research articles from computational mechanics, all using the software Pasimodo https://www.itm.uni-stuttgart.de/en/software/pasimodo/ Categories for analysing the articles: To understand the context of the citation, we classified the citations...

Raw Simulation Datasets for Extending Heat Plumes

Sep 10, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Raw Simulation Datasets for Extending Heat Plumes", https://doi.org/10.18419/darus-4133, DaRUS, V2

These data sets serve as training and testing data for modelling the extension of temperature field emanating from one groundwater heat pump. There are simulated with Pflotran and saved in h5 format. The data set for training is called "dataset_medium_k_3e-10_1000dp". It contains...

Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points

Sep 10, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points", https://doi.org/10.18419/darus-4156, DaRUS, V1

This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is simulated with Pflotran and saved in h5 format. The data set contains 3 data points, each consisting o...

ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package)

Aug 27, 2024 - PN 7-6

Kneifl, Jonas; Rettberg, Johannes; Herb, Julius, 2024, "ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package)", https://doi.org/10.18419/darus-4446, DaRUS, V1

Software package for data-driven identification of latent port-Hamiltonian systems. Abstract Conventional physics-based modeling techniques involve high effort, e.g.~time and expert knowledge, while data-driven methods often lack interpretability, structure, and sometimes reliabi...

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

Aug 23, 2024 - 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, V1

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 expe...

Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Aug 8, 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", https://doi.org/10.18419/darus-4255, DaRUS, V1

This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". 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 provided on Gi...

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