Stuttgart Center for Simulation Science (SC SimTech)

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Deposit Date: 2022

1 to 10 of 34 Results

Test Setup of Turbine Blade Data Mapping Feb 14, 2022 - Usability and Sustainability of Simulation Software Simonis, Frédéric; Davis, Kyle; Uekermann, Benjamin, 2022, "Test Setup of Turbine Blade Data Mapping", https://doi.org/10.18419/darus-2491, DaRUS, V1, UNF:6:9SbHetN1EMzpQrXWO5FEeA== [fileUNF] Input data, scripts, and results of the data mapping tests of section 2.2 of "Chourdakis et al., preCICE v2 - A Sustainable and User-Friendly Coupling Library, 2022".
Efficient three-material PLIC Implementation as Fortran Module Mar 1, 2022 - Subarea A7 Potyka, Johanna; Kromer, Johannes, 2022, "Efficient three-material PLIC Implementation as Fortran Module", https://doi.org/10.18419/darus-2488, DaRUS, V1 The dataset provides a Fortran module with the code for the efficient three-phase positioning method.
Case Study Database for: Documenting Research Software in Engineering Science Mar 29, 2022 - Projects without PN Affiliation Hermann, Sibylle, 2022, "Case Study Database for: Documenting Research Software in Engineering Science", https://doi.org/10.18419/darus-2681, DaRUS, V1, UNF:6:b7kyHlt+OvbLE/xZr7JtHQ== [fileUNF] This dataset contains the collected data of a case study on the documentation of research software in the institutional everyday life of engineering scientists. All files beginning with "Notes" contain personal thoughts and transcripts. More detailed descriptions about the conten...
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1] Apr 13, 2022 - PN 6 Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2022, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]", https://doi.org/10.18419/darus-2615, DaRUS, V1 This dataset contains code and data for our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Active Learning problems. The...
preCICE Distribution Version v2202.0 Apr 21, 2022 - Usability and Sustainability of Simulation Software Chourdakis, Gerasimos; Davis, Kyle; Desai, Ishaan; Rodenberg, Benjamin; Schneider, David; Simonis, Frédéric; Uekermann, Benjamin; Firmbach, Max; Jaust, Alexander; Lorenz, Christopher; Martin, Boris; Olesen, Mark; Ziya Koseomur, Oguz, 2022, "preCICE Distribution Version v2202.0", https://doi.org/10.18419/darus-2613, DaRUS, V1 The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. The compressed source files of this data set are only meant to archi...
Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent Jun 20, 2022 - PN 6-3 Holzmüller, David; Steinwart, Ingo, 2022, "Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent", https://doi.org/10.18419/darus-2978, DaRUS, V1 This data set contains code used to generate figures and tables in our paper "Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent". The code is also available on GitHub. Information on the code and installation instructions can be found in the file README.md.
A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances Jun 20, 2022 - PN 4-7 Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/darus-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF] This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetr...
Human Occupant Motion in Pre-Crash Scenario Aug 5, 2022 - PN 7-6 Kneifl, Jonas; Hay, Julian; Fehr, Jörg, 2022, "Human Occupant Motion in Pre-Crash Scenario", https://doi.org/10.18419/darus-2471, DaRUS, V1 This dataset provides simulation results from a high-fidelity human body model in a pre-crash scenario as well as a surrogate model to approximate those simulation results. The high-fidelity results contain the motion of all points describing the occupant at certain points of tim...
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v2] Aug 24, 2022 - PN 6 Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2022, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v2]", https://doi.org/10.18419/darus-3110, DaRUS, V1 This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Ac...
Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state' Aug 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering Zimmermann, Nils Edvin Richard; Guevara-Carrion, Gabriela; Vrabec, Jadran; Hansen, Niels, 2022, "Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'", https://doi.org/10.18419/darus-2996, DaRUS, V2 Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state' (N. E. R. Zimmermann, G. Guevara-Carrion, J. Vrabec, N. Hansen, Adv. Theory Simul., 2022) containing scripts, packages, and files to re-create and...

Test Setup of Turbine Blade Data Mapping

Feb 14, 2022 - Usability and Sustainability of Simulation Software

Simonis, Frédéric; Davis, Kyle; Uekermann, Benjamin, 2022, "Test Setup of Turbine Blade Data Mapping", https://doi.org/10.18419/darus-2491, DaRUS, V1, UNF:6:9SbHetN1EMzpQrXWO5FEeA== [fileUNF]

Input data, scripts, and results of the data mapping tests of section 2.2 of "Chourdakis et al., preCICE v2 - A Sustainable and User-Friendly Coupling Library, 2022".

Efficient three-material PLIC Implementation as Fortran Module

Mar 1, 2022 - Subarea A7

Potyka, Johanna; Kromer, Johannes, 2022, "Efficient three-material PLIC Implementation as Fortran Module", https://doi.org/10.18419/darus-2488, DaRUS, V1

The dataset provides a Fortran module with the code for the efficient three-phase positioning method.

Case Study Database for: Documenting Research Software in Engineering Science

Mar 29, 2022 - Projects without PN Affiliation

Hermann, Sibylle, 2022, "Case Study Database for: Documenting Research Software in Engineering Science", https://doi.org/10.18419/darus-2681, DaRUS, V1, UNF:6:b7kyHlt+OvbLE/xZr7JtHQ== [fileUNF]

This dataset contains the collected data of a case study on the documentation of research software in the institutional everyday life of engineering scientists. All files beginning with "Notes" contain personal thoughts and transcripts. More detailed descriptions about the conten...

Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]

Apr 13, 2022 - PN 6

Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2022, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v1]", https://doi.org/10.18419/darus-2615, DaRUS, V1

This dataset contains code and data for our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Active Learning problems. The...

preCICE Distribution Version v2202.0

Apr 21, 2022 - Usability and Sustainability of Simulation Software

Chourdakis, Gerasimos; Davis, Kyle; Desai, Ishaan; Rodenberg, Benjamin; Schneider, David; Simonis, Frédéric; Uekermann, Benjamin; Firmbach, Max; Jaust, Alexander; Lorenz, Christopher; Martin, Boris; Olesen, Mark; Ziya Koseomur, Oguz, 2022, "preCICE Distribution Version v2202.0", https://doi.org/10.18419/darus-2613, DaRUS, V1

The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. The compressed source files of this data set are only meant to archi...

Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent

Jun 20, 2022 - PN 6-3

Holzmüller, David; Steinwart, Ingo, 2022, "Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent", https://doi.org/10.18419/darus-2978, DaRUS, V1

This data set contains code used to generate figures and tables in our paper "Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent". The code is also available on GitHub. Information on the code and installation instructions can be found in the file README.md.

A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

Jun 20, 2022 - PN 4-7

Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/darus-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF]

This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetr...

Human Occupant Motion in Pre-Crash Scenario

Aug 5, 2022 - PN 7-6

Kneifl, Jonas; Hay, Julian; Fehr, Jörg, 2022, "Human Occupant Motion in Pre-Crash Scenario", https://doi.org/10.18419/darus-2471, DaRUS, V1

This dataset provides simulation results from a high-fidelity human body model in a pre-crash scenario as well as a surrogate model to approximate those simulation results. The high-fidelity results contain the motion of all points describing the occupant at certain points of tim...

Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v2]

Aug 24, 2022 - PN 6

Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2022, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v2]", https://doi.org/10.18419/darus-3110, DaRUS, V1

This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Ac...

Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'

Aug 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering

Zimmermann, Nils Edvin Richard; Guevara-Carrion, Gabriela; Vrabec, Jadran; Hansen, Niels, 2022, "Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'", https://doi.org/10.18419/darus-2996, DaRUS, V2

Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state' (N. E. R. Zimmermann, G. Guevara-Carrion, J. Vrabec, N. Hansen, Adv. Theory Simul., 2022) containing scripts, packages, and files to re-create and...

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