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1 to 10 of 48 Results

Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport(Universität Stuttgart) Jun 26, 2025Surrogate models for groundwater flow simulations Raw and prepared datasets and trained models for the publication "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport", including randomized and real permeability fields, on different domain sizes (12.8kmx12.8km and double the size for scaling tests); DDUNet- and LGCNN architectures
Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps Jan 7, 2025 - Surrogate models for groundwater flow simulations Zhang, Xiaoyu, 2024, "Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps", https://doi.org/10.18419/DARUS-4518, DaRUS, V3 Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file contains all prepared datapoints with a single heat pump. The input data fields are pressure, permeability, position of the heat pump, normalized distance to the heat pump, and tempe...
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...
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...
Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow Nov 12, 2024 - Dataverse-PN-X Heinemann, Moritz; Potyka, Johanna; Schulte, Kathrin; Sadlo, Filip; Ertl, Thomas, 2024, "Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow", https://doi.org/10.18419/DARUS-4225, DaRUS, V1 Collision of a droplet chain of a 50% water-glycerol solution colliding with a continuous jet of silicon oil M5, which is a combination of immiscible liquids. The collision process leads to the separation of compound droplets, i.e., the droplets are encapsulated by the jet's liquid. The Cartesian simulation grid originally had a size of 2048 x 1024...
Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions Nov 5, 2024 - Surrogate models for groundwater flow simulations Miliczek, Pascal, 2024, "Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions", https://doi.org/10.18419/DARUS-4530, DaRUS, V1 Prepared datasets and models for modeling orientational variation in heat plume prediction in groundwater. Models were trained with 1HP NN equivariance. File name explanation: 4d The (used) dataset encompasses only cardinal flow directions. rd The (used) dataset encompasses random flow directions in the 2D plane. 1000dp The (used) dataset consists...
Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions Nov 5, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions", https://doi.org/10.18419/DARUS-4531, DaRUS, V1 Raw datasets for modeling orientational variation in heat plume prediction in groundwater. Used with 1HP NN equivariance. File name explanation: 4d The dataset encompasses only cardinal flow directions. rd The dataset encompasses random flow directions in the 2D plane. 1000dp The dataset consists of 1000 data points.
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 Sep 13, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Datasets: 6 Heat Pumps, Simulation - Raw + Prepared", 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 two datasets contain 1000 and additional 4000 data points. Each data point consists of one simulation run until a near steady st...

Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport(Universität Stuttgart)

Jun 26, 2025Surrogate models for groundwater flow simulations

Raw and prepared datasets and trained models for the publication "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport", including randomized and real permeability fields, on different domain sizes (12.8kmx12.8km and double the size for scaling tests); DDUNet- and LGCNN architectures

Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

Jan 7, 2025 - Surrogate models for groundwater flow simulations

Zhang, Xiaoyu, 2024, "Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps", https://doi.org/10.18419/DARUS-4518, DaRUS, V3

Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file contains all prepared datapoints with a single heat pump. The input data fields are pressure, permeability, position of the heat pump, normalized distance to the heat pump, and tempe...

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...

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...

Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow

Nov 12, 2024 - Dataverse-PN-X

Heinemann, Moritz; Potyka, Johanna; Schulte, Kathrin; Sadlo, Filip; Ertl, Thomas, 2024, "Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow", https://doi.org/10.18419/DARUS-4225, DaRUS, V1

Collision of a droplet chain of a 50% water-glycerol solution colliding with a continuous jet of silicon oil M5, which is a combination of immiscible liquids. The collision process leads to the separation of compound droplets, i.e., the droplets are encapsulated by the jet's liquid. The Cartesian simulation grid originally had a size of 2048 x 1024...

Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions

Nov 5, 2024 - Surrogate models for groundwater flow simulations

Miliczek, Pascal, 2024, "Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions", https://doi.org/10.18419/DARUS-4530, DaRUS, V1

Prepared datasets and models for modeling orientational variation in heat plume prediction in groundwater. Models were trained with 1HP NN equivariance. File name explanation: 4d The (used) dataset encompasses only cardinal flow directions. rd The (used) dataset encompasses random flow directions in the 2D plane. 1000dp The (used) dataset consists...

Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions

Nov 5, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions", https://doi.org/10.18419/DARUS-4531, DaRUS, V1

Raw datasets for modeling orientational variation in heat plume prediction in groundwater. Used with 1HP NN equivariance. File name explanation: 4d The dataset encompasses only cardinal flow directions. rd The dataset encompasses random flow directions in the 2D plane. 1000dp The dataset consists of 1000 data points.

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

Sep 13, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Datasets: 6 Heat Pumps, Simulation - Raw + Prepared", 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 two datasets contain 1000 and additional 4000 data points. Each data point consists of one simulation run until a near steady st...

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