Stuttgart Center for Simulation Science (SC SimTech)

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Subject: Computer and Information Science Deposit Date: 2023

11 to 20 of 30 Results

Dataset: Two Heat Pumps Simulation - Raw, 1000 Data Points Sep 6, 2023 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2023, "Dataset: Two Heat Pumps Simulation - Raw, 1000 Data Points", https://doi.org/10.18419/darus-3652, DaRUS, V1 This data set serves as training data for modelling the temperature field emanating from two groundwater heat pumps (one fixed, one randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 1000 data points, each consisting of one simulation run until a...
Dataset: Two Heat Pumps Simulation - Raw, 100 Data Points Sep 6, 2023 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2023, "Dataset: Two Heat Pumps Simulation - Raw, 100 Data Points", https://doi.org/10.18419/darus-3651, DaRUS, V1 This data set serves as training data for modelling the temperature field emanating from two groundwater heat pumps (one fixed, one randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 100 data points, each consisting of one simulation run until a n...
Dataset: Single Heat Pump Simulation - Raw, 1000 Data Points Sep 6, 2023 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2023, "Dataset: Single Heat Pump Simulation - Raw, 1000 Data Points", https://doi.org/10.18419/darus-3650, DaRUS, V1 This data set serves as training data for modelling the temperature field emanating from a groundwater heat pump. It is simulated with Pflotran and saved in h5 format. It contains 1000 data points, each consisting of one simulation run until a near steady state is reached. Each d...
Dataset: Single Heat Pump Simulation - Raw, 100 Data Points Sep 6, 2023 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2023, "Dataset: Single Heat Pump Simulation - Raw, 100 Data Points", https://doi.org/10.18419/darus-3649, DaRUS, V1 This data set serves as training data for modelling the temperature field emanating from a groundwater heat pump. It is simulated with Pflotran and saved in h5 format. It contains 100 data points, each consisting of one simulation run until a near steady state is reached. Each da...
2023 CCN Time Window Project Code Aug 2, 2023 - Computational Cognitive Science Skukies, René, 2023, "2023 CCN Time Window Project Code", https://doi.org/10.18419/darus-3635, DaRUS, V1 Notebooks/ scripts used for the time window project done for our CCN contribution in 2023. The notebooks will simulate EEG data based on a known "ground truth" ERP and test whether the estimation length during ERP activity estimation will have an Influence on the results. To get...
Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering Jul 25, 2023 - PN 6-4 Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/darus-3597, DaRUS, V1 Pretrained model parameters and pregenerated evaluation data for our visual analysis system for scene-graph-based visual question answering (https://doi.org/10.18419/darus-3589).
Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" Jul 25, 2023 - PN 6-4 Munz-Körner, Tanja; Künzel, Sebastian; Weiskopf, Daniel, 2023, "Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"", https://doi.org/10.18419/darus-3456, DaRUS, V1 Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science 2023. Collection of videos and images showing our interactive visualization systems for exploring language...
Visual Analysis System for Scene-Graph-Based Visual Question Answering Jul 25, 2023 - PN 6-4 Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/darus-3589, DaRUS, V1 Source code of our visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Instructions on how to use our system can be found in the README.
preCICE Distribution Version v2211.0 Jul 11, 2023 - Usability and Sustainability of Simulation Software Chourdakis, Gerasimos; Davis, Kyle; Desai, Ishaan; Rodenberg, Benjamin; Schneider, David; Simonis, Frédéric; Uekermann, Benjamin; Ariguib, Boshra; Cardiff, Philip; Jaust, Alexander; Kharitenko, Pavel; Klöfkorn, Robert; Kotarsky, Niklas; Martin, Boris; Scheurer, Erik; Schüller, Valentina; van Zwieten, Gertjan; Yurt, Kursat, 2023, "preCICE Distribution Version v2211.0", https://doi.org/10.18419/darus-3576, 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...
Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization" Jul 1, 2023 - PN 5-1 Huber, Felix; Bürkner, Paul-Christian; Göddeke, Dominik; Schulte, Miriam, 2023, "Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"", https://doi.org/10.18419/darus-3550, DaRUS, V1, UNF:6:QWTNrKTVYgetwfCBQfeWvw== [fileUNF] These files contain the data for the OpenDiHu experiments in sections 5.1.3 and 5.2. The settings used for the OpenDiHu simulations are in the opendihu/ folder. The simulation data is in the data/ folder and the used stan models are in the models/ folder. For more details see REA...

Dataset: Two Heat Pumps Simulation - Raw, 1000 Data Points

Sep 6, 2023 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2023, "Dataset: Two Heat Pumps Simulation - Raw, 1000 Data Points", https://doi.org/10.18419/darus-3652, DaRUS, V1

This data set serves as training data for modelling the temperature field emanating from two groundwater heat pumps (one fixed, one randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 1000 data points, each consisting of one simulation run until a...

Dataset: Two Heat Pumps Simulation - Raw, 100 Data Points

Sep 6, 2023 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2023, "Dataset: Two Heat Pumps Simulation - Raw, 100 Data Points", https://doi.org/10.18419/darus-3651, DaRUS, V1

This data set serves as training data for modelling the temperature field emanating from two groundwater heat pumps (one fixed, one randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 100 data points, each consisting of one simulation run until a n...

Dataset: Single Heat Pump Simulation - Raw, 1000 Data Points

Sep 6, 2023 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2023, "Dataset: Single Heat Pump Simulation - Raw, 1000 Data Points", https://doi.org/10.18419/darus-3650, DaRUS, V1

This data set serves as training data for modelling the temperature field emanating from a groundwater heat pump. It is simulated with Pflotran and saved in h5 format. It contains 1000 data points, each consisting of one simulation run until a near steady state is reached. Each d...

Dataset: Single Heat Pump Simulation - Raw, 100 Data Points

Sep 6, 2023 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2023, "Dataset: Single Heat Pump Simulation - Raw, 100 Data Points", https://doi.org/10.18419/darus-3649, DaRUS, V1

This data set serves as training data for modelling the temperature field emanating from a groundwater heat pump. It is simulated with Pflotran and saved in h5 format. It contains 100 data points, each consisting of one simulation run until a near steady state is reached. Each da...

2023 CCN Time Window Project Code

Aug 2, 2023 - Computational Cognitive Science

Skukies, René, 2023, "2023 CCN Time Window Project Code", https://doi.org/10.18419/darus-3635, DaRUS, V1

Notebooks/ scripts used for the time window project done for our CCN contribution in 2023. The notebooks will simulate EEG data based on a known "ground truth" ERP and test whether the estimation length during ERP activity estimation will have an Influence on the results. To get...

Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering

Jul 25, 2023 - PN 6-4

Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/darus-3597, DaRUS, V1

Pretrained model parameters and pregenerated evaluation data for our visual analysis system for scene-graph-based visual question answering (https://doi.org/10.18419/darus-3589).

Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

Jul 25, 2023 - PN 6-4

Munz-Körner, Tanja; Künzel, Sebastian; Weiskopf, Daniel, 2023, "Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"", https://doi.org/10.18419/darus-3456, DaRUS, V1

Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science 2023. Collection of videos and images showing our interactive visualization systems for exploring language...

Visual Analysis System for Scene-Graph-Based Visual Question Answering

Jul 25, 2023 - PN 6-4

Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/darus-3589, DaRUS, V1

Source code of our visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Instructions on how to use our system can be found in the README.

preCICE Distribution Version v2211.0

Jul 11, 2023 - Usability and Sustainability of Simulation Software

Chourdakis, Gerasimos; Davis, Kyle; Desai, Ishaan; Rodenberg, Benjamin; Schneider, David; Simonis, Frédéric; Uekermann, Benjamin; Ariguib, Boshra; Cardiff, Philip; Jaust, Alexander; Kharitenko, Pavel; Klöfkorn, Robert; Kotarsky, Niklas; Martin, Boris; Scheurer, Erik; Schüller, Valentina; van Zwieten, Gertjan; Yurt, Kursat, 2023, "preCICE Distribution Version v2211.0", https://doi.org/10.18419/darus-3576, 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...

Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"

Jul 1, 2023 - PN 5-1

Huber, Felix; Bürkner, Paul-Christian; Göddeke, Dominik; Schulte, Miriam, 2023, "Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"", https://doi.org/10.18419/darus-3550, DaRUS, V1, UNF:6:QWTNrKTVYgetwfCBQfeWvw== [fileUNF]

These files contain the data for the OpenDiHu experiments in sections 5.1.3 and 5.2. The settings used for the OpenDiHu simulations are in the opendihu/ folder. The simulation data is in the data/ folder and the used stan models are in the models/ folder. For more details see REA...

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