Surrogate models for groundwater flow simulations

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Smallest Building Blocks Approach to Model Interacting Heat Plumes(Universität Stuttgart) Jun 2, 2026 Datasets (raw and prepared) and trained models for modeling heat plume interactions in a bottom-up approach of small building blocks. It contains data for the publication "Efficient Two-Stage Modeling of Heat Plume Interactions of Geothermal Heat Pumps in Shallow Aquifers Using Convolutional Neural Networks", projects, and student theses that build...
Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling(Universität Stuttgart) Apr 14, 2026 This dataverse contains the datasets for all steps of our stepwise benchmark based on input data from the region of Munich. The first step starts with a single heat pump in a heterogeneous 2D subsurface aquifer with seasonal operational pump parameters. The second step contains two potentially interacting heat plumes and fewer data points due to th...
Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport(Universität Stuttgart) Jun 26, 2025 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

Smallest Building Blocks Approach to Model Interacting Heat Plumes(Universität Stuttgart)

Jun 2, 2026

Datasets (raw and prepared) and trained models for modeling heat plume interactions in a bottom-up approach of small building blocks. It contains data for the publication "Efficient Two-Stage Modeling of Heat Plume Interactions of Geothermal Heat Pumps in Shallow Aquifers Using Convolutional Neural Networks", projects, and student theses that build...

Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling(Universität Stuttgart)

Apr 14, 2026

This dataverse contains the datasets for all steps of our stepwise benchmark based on input data from the region of Munich. The first step starts with a single heat pump in a heterogeneous 2D subsurface aquifer with seasonal operational pump parameters. The second step contains two potentially interacting heat plumes and fewer data points due to th...

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

Jun 26, 2025

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

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