Stuttgart Center for Simulation Science (SC SimTech)

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Subject: Earth and Environmental Sciences

1 to 10 of 42 Results

Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures $Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures$ Apr 18, 2024 - PN 1-X Keim, Leon; Class, Holger, 2024, "Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/darus-4143, DaRUS, V1 This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes raw data packaged in tarball format, including Python scri...
Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures $Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures$ Apr 18, 2024 - PN 1-X Keim, Leon; Class, Holger, 2024, "Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/darus-4089, DaRUS, V1 This dataset consists of software code associated with the publication titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes a Dockerimage that contains the precompiled code for immedia...
Raw Simulation Datasets for Extending Heat Plumes Apr 9, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Raw Simulation Datasets for Extending Heat Plumes", https://doi.org/10.18419/darus-4133, DaRUS, V1 These data sets serve as training and testing data for modelling the extension of temperature field emanating from one groundwater heat pump. There are simulated with Pflotran and saved in h5 format. The data set for training is called "dataset_medium_k_3e-10_1000dp". It contains...
Models and Prepared Datasets for the Second Stage Apr 2, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Models and Prepared Datasets for the Second Stage", https://doi.org/10.18419/darus-3689, DaRUS, V1 Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format + normalization etc, used for training these models. Last relevant git commit: 5d6c5eae5b00e438. Based on raw data from doi:darus-3651 and doi:darus-3652.
Models and Prepared Datasets for the First Stage Apr 2, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Models and Prepared Datasets for the First Stage", https://doi.org/10.18419/darus-3690, DaRUS, V1 Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format + normalization etc, used for training these models. Last relevant git commit: 5d6c5eae5b00e438. Based on raw data from doi:10.18419/darus-3649 and doi:10.18419/darus...
PN 1-X(Universität Stuttgart) Mar 12, 2024PN 1
PDEBench Datasets Feb 13, 2024 - SciML PDE Benchmark Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Datasets", https://doi.org/10.18419/darus-2986, DaRUS, V8 This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. This...
PDEBench Pretrained Models Nov 30, 2023 - SciML PDE Benchmark Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Pretrained Models", https://doi.org/10.18419/darus-2987, DaRUS, V2 This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D...
DuMux 3.8.0 Nov 17, 2023 - DuMux Buntic, Ivan; Coltman, Edward; Flemisch, Bernd; Ghosh, Tufan; Gläser, Dennis; Grüninger, Christoph; Hommel, Johannes; Keim, Leon; Kelm, Mathis; Koch, Timo; Kostelecky, Anna Mareike; Lipp, Melanie; Oukili, Hamza; Schneider, Martin; Utz, Martin; Wang, Yue; Weishaupt, Kilian; Wendel, Kai; Winter, Roman; Wu, Hanchuan, 2023, "DuMux 3.8.0", https://doi.org/10.18419/darus-3788, DaRUS, V1 Release 3.8.0 of DuMux, DUNE for Multi-{Phase, Component, Scale, Physics, ...} flow and transport in porous media. DuMux is a free and open-source simulator for flow and transport processes in and around porous media. It is based on the Distributed and Unified Numerics Environmen...
Dataset: Single Heat Pump Simulation - Prepared "Learn Params", 100 Data Points Sep 6, 2023 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2023, "Dataset: Single Heat Pump Simulation - Prepared "Learn Params", 100 Data Points", https://doi.org/10.18419/darus-3653, 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, preprocessed with python and saved in pt-format. It contains 100 data points, each consisting of one simulation run after 5 years - so...

Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures

$Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures$

Apr 18, 2024 - PN 1-X

Keim, Leon; Class, Holger, 2024, "Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/darus-4143, DaRUS, V1

This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes raw data packaged in tarball format, including Python scri...

Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures

$Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures$

Apr 18, 2024 - PN 1-X

Keim, Leon; Class, Holger, 2024, "Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/darus-4089, DaRUS, V1

This dataset consists of software code associated with the publication titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes a Dockerimage that contains the precompiled code for immedia...

Raw Simulation Datasets for Extending Heat Plumes

Apr 9, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Raw Simulation Datasets for Extending Heat Plumes", https://doi.org/10.18419/darus-4133, DaRUS, V1

These data sets serve as training and testing data for modelling the extension of temperature field emanating from one groundwater heat pump. There are simulated with Pflotran and saved in h5 format. The data set for training is called "dataset_medium_k_3e-10_1000dp". It contains...

Models and Prepared Datasets for the Second Stage

Apr 2, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Models and Prepared Datasets for the Second Stage", https://doi.org/10.18419/darus-3689, DaRUS, V1

Models trained with Heat Plume Prediction and datasets prepared with Heat Plume Prediction into reasonable format + normalization etc, used for training these models. Last relevant git commit: 5d6c5eae5b00e438. Based on raw data from doi:darus-3651 and doi:darus-3652.

Models and Prepared Datasets for the First Stage

Apr 2, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Models and Prepared Datasets for the First Stage", https://doi.org/10.18419/darus-3690, DaRUS, V1

PN 1-X(Universität Stuttgart)

Mar 12, 2024PN 1

PDEBench Datasets

Feb 13, 2024 - SciML PDE Benchmark

Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Datasets", https://doi.org/10.18419/darus-2986, DaRUS, V8

This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. This...

PDEBench Pretrained Models

Nov 30, 2023 - SciML PDE Benchmark

Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Pretrained Models", https://doi.org/10.18419/darus-2987, DaRUS, V2

This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D...

DuMux 3.8.0

Nov 17, 2023 - DuMux

Buntic, Ivan; Coltman, Edward; Flemisch, Bernd; Ghosh, Tufan; Gläser, Dennis; Grüninger, Christoph; Hommel, Johannes; Keim, Leon; Kelm, Mathis; Koch, Timo; Kostelecky, Anna Mareike; Lipp, Melanie; Oukili, Hamza; Schneider, Martin; Utz, Martin; Wang, Yue; Weishaupt, Kilian; Wendel, Kai; Winter, Roman; Wu, Hanchuan, 2023, "DuMux 3.8.0", https://doi.org/10.18419/darus-3788, DaRUS, V1

Release 3.8.0 of DuMux, DUNE for Multi-{Phase, Component, Scale, Physics, ...} flow and transport in porous media. DuMux is a free and open-source simulator for flow and transport processes in and around porous media. It is based on the Distributed and Unified Numerics Environmen...

Dataset: Single Heat Pump Simulation - Prepared "Learn Params", 100 Data Points

Sep 6, 2023 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2023, "Dataset: Single Heat Pump Simulation - Prepared "Learn Params", 100 Data Points", https://doi.org/10.18419/darus-3653, 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, preprocessed with python and saved in pt-format. It contains 100 data points, each consisting of one simulation run after 5 years - so...

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