Stuttgart Center for Simulation Science (SC SimTech)

EXC 2075 Project Networks

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101 to 110 of 373 Results

Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks Dec 19, 2024 - Surrogate models for groundwater flow simulations Hofmann, Johanna, 2024, "Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks", https://doi.org/10.18419/DARUS-4514, DaRUS, V2 The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset preparation is published. The last relevant git commit is 0a148e6131b98260. The prepared dataset for training is called ep_medium_1000dp_only_vary_dist inputs_ks. It consists o...
PN 3A-8(Universität Stuttgart) Dec 17, 2024PN 3 SimTech PN 3A-8: "Certified Coupled Model Order Reduction (CCMOR)"
PN 3-5(Universität Stuttgart) Dec 17, 2024PN 3 SimTech Project PN 3-5 "Data-integrated Multiscale Modeling of Diffusion-driven Processes in Porous Media" and SimTech Project PN 3-5 (II) "Data-driven multi-scale stability analysis of multi-stimuli-responsive hydrogels"
Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems Dec 16, 2024 - Usability and Sustainability of Simulation Software Schneider, David; Uekermann, Benjamin, 2024, "Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems", https://doi.org/10.18419/DARUS-4168, DaRUS, V1 This dataset contains software (preCICE v3.1.1 and ASTE) as well as setup files and instructions to reproduce the experiments of Schneider and Uekermann "Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems". We, moreover, provide the actual results. See the README for information on how to build and rerun the cases...
PN 3A-9(Universität Stuttgart) Dec 13, 2024PN 3 Bottom-up modelling of COF/electrode systems for CO2 reduction in confinement
PN 1-4(Universität Stuttgart) Dec 11, 2024PN 1 SimTech Project PN 1-4 "Image-based morphological characterization of multiphase porous media flow"
Models and Prepared Datasets for 3D-CNN - First Stage Nov 26, 2024 - Surrogate models for groundwater flow simulations Trick, Johanna, 2024, "Models and Prepared Datasets for 3D-CNN - First Stage", https://doi.org/10.18419/DARUS-4534, DaRUS, V1 Models trained with Heat Plume Prediction 3D and datasets prepared with Heat Plume Prediction 3D into reasonable format, normalization used to train these models. Based on raw data from doi:darus-4533.
Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points Nov 26, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points", https://doi.org/10.18419/DARUS-4533, DaRUS, V1 These data sets serve as training data for modelling the temperature field emanating from a groundwater heat pump. They are simulated with Pflotran and saved in h5 format. They contain 100 and 1000 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 320 m x 1280 m x 320 m with 64 x 256 x...
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"

Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks

Dec 19, 2024 - Surrogate models for groundwater flow simulations

Hofmann, Johanna, 2024, "Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks", https://doi.org/10.18419/DARUS-4514, DaRUS, V2

The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset preparation is published. The last relevant git commit is 0a148e6131b98260. The prepared dataset for training is called ep_medium_1000dp_only_vary_dist inputs_ks. It consists o...

PN 3A-8(Universität Stuttgart)

Dec 17, 2024PN 3

SimTech PN 3A-8: "Certified Coupled Model Order Reduction (CCMOR)"

PN 3-5(Universität Stuttgart)

Dec 17, 2024PN 3

SimTech Project PN 3-5 "Data-integrated Multiscale Modeling of Diffusion-driven Processes in Porous Media" and SimTech Project PN 3-5 (II) "Data-driven multi-scale stability analysis of multi-stimuli-responsive hydrogels"

Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems

Dec 16, 2024 - Usability and Sustainability of Simulation Software

Schneider, David; Uekermann, Benjamin, 2024, "Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems", https://doi.org/10.18419/DARUS-4168, DaRUS, V1

This dataset contains software (preCICE v3.1.1 and ASTE) as well as setup files and instructions to reproduce the experiments of Schneider and Uekermann "Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems". We, moreover, provide the actual results. See the README for information on how to build and rerun the cases...

PN 3A-9(Universität Stuttgart)

Dec 13, 2024PN 3

Bottom-up modelling of COF/electrode systems for CO2 reduction in confinement

PN 1-4(Universität Stuttgart)

Dec 11, 2024PN 1

SimTech Project PN 1-4 "Image-based morphological characterization of multiphase porous media flow"

Models and Prepared Datasets for 3D-CNN - First Stage

Nov 26, 2024 - Surrogate models for groundwater flow simulations

Trick, Johanna, 2024, "Models and Prepared Datasets for 3D-CNN - First Stage", https://doi.org/10.18419/DARUS-4534, DaRUS, V1

Models trained with Heat Plume Prediction 3D and datasets prepared with Heat Plume Prediction 3D into reasonable format, normalization used to train these models. Based on raw data from doi:darus-4533.

Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points

Nov 26, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points", https://doi.org/10.18419/DARUS-4533, DaRUS, V1

These data sets serve as training data for modelling the temperature field emanating from a groundwater heat pump. They are simulated with Pflotran and saved in h5 format. They contain 100 and 1000 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 320 m x 1280 m x 320 m with 64 x 256 x...

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"

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