Stuttgart Center for Simulation Science (SC SimTech)

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Subject: Computer and Information Science

41 to 50 of 107 Results

Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE Jul 1, 2023 - Usability and Sustainability of Simulation Software Schrader, Timo Pierre; Schneider, David; Uekermann, Benjamin, 2023, "Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE", https://doi.org/10.18419/darus-3574, DaRUS, V1 This dataset contains setup and result files for the performance measurements presented in Schneider et al. "Data-Parallel Radial-Basis Function Interpolation in preCICE". Furthermore, it contains the used snapshot of preCICE, ASTE, and Gingko. See the README for information on h...
Neck Reflex Behavior in Driving Simulator Experiments - Academic-Scale Simulator at ITM Jun 21, 2023 - Neck Reflex Behavior in Driving Simulator Experiments Kempter, Fabian; Lantella, Lorena; Stutzig, Norman; Fehr, Jörg; Siebert, Tobias, 2023, "Neck Reflex Behavior in Driving Simulator Experiments - Academic-Scale Simulator at ITM", https://doi.org/10.18419/darus-3000, DaRUS, V1 Neck movement and injury during a car crash is influenced by reflexes, strength, and flexibility. This data set contains in-vivo measurements of neck kinematics and reflexes as participants are rapidly accelerated while driving a mechanically simulated car. This data set includes...
Reproduction data for: A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations Jun 20, 2023 - Usability and Sustainability of Simulation Software Willeke, Leonard; Schneider, David; Uekermann, Benjamin, 2023, "Reproduction data for: A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations", https://doi.org/10.18419/darus-3549, DaRUS, V1 Input files and results for two simulation examples using the preCICE-FMI runner as described in "A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations". First, the simulation of a partitioned mass-spring oscillator system is considered. All model equations are based on OD...
PN 5-1(Universität Stuttgart) Jun 16, 2023PN 5 SimTech Project PN 5-1 "Optimal multidimensional accuracy-resource trade-off"
Replication Data for: A preCICE-FMI Runner to couple controller models to PDEs Jun 7, 2023 - Usability and Sustainability of Simulation Software Willeke, Leonard, 2023, "Replication Data for: A preCICE-FMI Runner to couple controller models to PDEs", https://doi.org/10.18419/darus-3408, DaRUS, V1 A preCICE-FMI Runner was developed during the Master's Thesis "A preCICE-FMI Runner to couple controller models to PDEs". It couples models using the FMI standard with other simulation programs via the coupling library preCICE. This data set contains the code and casefiles presen...
Replication Code for: Randomized Symplectic Model Order Reduction for Hamiltonian Systems Jun 6, 2023 - Projects without PN Affiliation Herkert, Robin, 2023, "Replication Code for: Randomized Symplectic Model Order Reduction for Hamiltonian Systems", https://doi.org/10.18419/darus-3519, DaRUS, V1 This dataset includes the code to reproduce the results from the paper titled "Randomized Symplectic Model Order Reduction for Hamiltonian Systems". In this paper randomized symplectic basis generation techniques are introduced. The numerical experiments where error decay rates a...
Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE Jun 5, 2023 - Usability and Sustainability of Simulation Software Schrader, Timo Pierre, 2023, "Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE", https://doi.org/10.18419/darus-3404, DaRUS, V1 This dataset contains all testcase setup files and result files for the measurements presented in the Master's thesis with the title "Efficient Application of Accelerator Cards for the Coupling Library preCICE" (Author: Timo Pierre Schrader). Furthermore, it contains the version...
Replication Code for: Meta-Uncertainty in Bayesian Model Comparison May 25, 2023 - Data and Code for: Meta-Uncertainty in Bayesian Model Comparison Schmitt, Marvin, 2023, "Replication Code for: Meta-Uncertainty in Bayesian Model Comparison", https://doi.org/10.18419/darus-3514, DaRUS, V1, UNF:6:zUDr3KGdcaDCy+jFtcz8lA== [fileUNF] This dataverse contains the code for the paper Meta-Uncertainty in Bayesian Model Comparison: https://doi.org/10.48550/arXiv.2210.07278 Note that the R code is structured as a package, thus requiring a local installation with subsequent loading via library(MetaUncertaintyPaper)....
Data and Code for: Meta-Uncertainty in Bayesian Model Comparison(Universität Stuttgart) May 17, 2023PN 6 Meta-Uncertainty represents a fully probabilistic framework for quantifying the uncertainty over Bayesian posterior model probabilities (PMPs) using meta-models. Meta-models integrate simulated and observed data into a predictive distribution for new PMPs and help reduce overconf...
deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning May 15, 2023 - PN 4-7 Baier, Alexandra; Frank, Daniel, 2023, "deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning", https://doi.org/10.18419/darus-3455, DaRUS, V1 deepsysid is a system identification toolkit for multistep prediction using deep learning and hybrid methods. The toolkit is easy to use. After you follow the instructions in the README, you will be able to download a dataset, run hyperparameter optimization and identify your bes...

Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE

Jul 1, 2023 - Usability and Sustainability of Simulation Software

Schrader, Timo Pierre; Schneider, David; Uekermann, Benjamin, 2023, "Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE", https://doi.org/10.18419/darus-3574, DaRUS, V1

This dataset contains setup and result files for the performance measurements presented in Schneider et al. "Data-Parallel Radial-Basis Function Interpolation in preCICE". Furthermore, it contains the used snapshot of preCICE, ASTE, and Gingko. See the README for information on h...

Neck Reflex Behavior in Driving Simulator Experiments - Academic-Scale Simulator at ITM

Jun 21, 2023 - Neck Reflex Behavior in Driving Simulator Experiments

Kempter, Fabian; Lantella, Lorena; Stutzig, Norman; Fehr, Jörg; Siebert, Tobias, 2023, "Neck Reflex Behavior in Driving Simulator Experiments - Academic-Scale Simulator at ITM", https://doi.org/10.18419/darus-3000, DaRUS, V1

Neck movement and injury during a car crash is influenced by reflexes, strength, and flexibility. This data set contains in-vivo measurements of neck kinematics and reflexes as participants are rapidly accelerated while driving a mechanically simulated car. This data set includes...

Reproduction data for: A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations

Jun 20, 2023 - Usability and Sustainability of Simulation Software

Willeke, Leonard; Schneider, David; Uekermann, Benjamin, 2023, "Reproduction data for: A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations", https://doi.org/10.18419/darus-3549, DaRUS, V1

Input files and results for two simulation examples using the preCICE-FMI runner as described in "A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations". First, the simulation of a partitioned mass-spring oscillator system is considered. All model equations are based on OD...

PN 5-1(Universität Stuttgart)

Jun 16, 2023PN 5

SimTech Project PN 5-1 "Optimal multidimensional accuracy-resource trade-off"

Replication Data for: A preCICE-FMI Runner to couple controller models to PDEs

Jun 7, 2023 - Usability and Sustainability of Simulation Software

Willeke, Leonard, 2023, "Replication Data for: A preCICE-FMI Runner to couple controller models to PDEs", https://doi.org/10.18419/darus-3408, DaRUS, V1

A preCICE-FMI Runner was developed during the Master's Thesis "A preCICE-FMI Runner to couple controller models to PDEs". It couples models using the FMI standard with other simulation programs via the coupling library preCICE. This data set contains the code and casefiles presen...

Replication Code for: Randomized Symplectic Model Order Reduction for Hamiltonian Systems

Jun 6, 2023 - Projects without PN Affiliation

Herkert, Robin, 2023, "Replication Code for: Randomized Symplectic Model Order Reduction for Hamiltonian Systems", https://doi.org/10.18419/darus-3519, DaRUS, V1

This dataset includes the code to reproduce the results from the paper titled "Randomized Symplectic Model Order Reduction for Hamiltonian Systems". In this paper randomized symplectic basis generation techniques are introduced. The numerical experiments where error decay rates a...

Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE

Jun 5, 2023 - Usability and Sustainability of Simulation Software

Schrader, Timo Pierre, 2023, "Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE", https://doi.org/10.18419/darus-3404, DaRUS, V1

This dataset contains all testcase setup files and result files for the measurements presented in the Master's thesis with the title "Efficient Application of Accelerator Cards for the Coupling Library preCICE" (Author: Timo Pierre Schrader). Furthermore, it contains the version...

Replication Code for: Meta-Uncertainty in Bayesian Model Comparison

May 25, 2023 - Data and Code for: Meta-Uncertainty in Bayesian Model Comparison

Schmitt, Marvin, 2023, "Replication Code for: Meta-Uncertainty in Bayesian Model Comparison", https://doi.org/10.18419/darus-3514, DaRUS, V1, UNF:6:zUDr3KGdcaDCy+jFtcz8lA== [fileUNF]

This dataverse contains the code for the paper Meta-Uncertainty in Bayesian Model Comparison: https://doi.org/10.48550/arXiv.2210.07278 Note that the R code is structured as a package, thus requiring a local installation with subsequent loading via library(MetaUncertaintyPaper)....

Data and Code for: Meta-Uncertainty in Bayesian Model Comparison(Universität Stuttgart)

May 17, 2023PN 6

Meta-Uncertainty represents a fully probabilistic framework for quantifying the uncertainty over Bayesian posterior model probabilities (PMPs) using meta-models. Meta-models integrate simulated and observed data into a predictive distribution for new PMPs and help reduce overconf...

deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning

May 15, 2023 - PN 4-7

Baier, Alexandra; Frank, Daniel, 2023, "deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning", https://doi.org/10.18419/darus-3455, DaRUS, V1

deepsysid is a system identification toolkit for multistep prediction using deep learning and hybrid methods. The toolkit is easy to use. After you follow the instructions in the README, you will be able to download a dataset, run hyperparameter optimization and identify your bes...

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