Surrogate models for groundwater flow simulations

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1 to 10 of 15,284 Results

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
unet_para_f64_d5_k4_pcs_2500dp.zip Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps ZIP Archive - 813.8 MB - MD5: 3c5f8ee53e45f1a67870a2417bef7dd4
unet_quad_f64_d5_k4_2500dp.zip Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps ZIP Archive - 806.9 MB - MD5: 0d329e714747cabd00c5028bec1c70c0
unet_stand_f64_d5_k4_2500dp.zip Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps ZIP Archive - 799.2 MB - MD5: 2f56a18ad50b50024b95043d7531d484
ep_medium_1000dp_only_vary_dist inputs_ks.zip Dec 19, 2024 - Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks ZIP Archive - 683.6 MB - MD5: 6d85ec6273279e3ed81b683f747ed5b6 This file contains the dataset prepared for the ConvLSTM for heat plume extension.
args.yaml Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage Unknown - 164 B - MD5: 04074ce881f8e0dd010c2b2c2c217078
args.yaml Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage Unknown - 165 B - MD5: ace3532bd852f4d3cbbad822fb9e9889
avg_error_xy_slice.png Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage PNG Image - 17.1 KB - MD5: 9219aac3bbf6162645ee43188f48ba28
avg_error_xy_slice.png Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage PNG Image - 18.3 KB - MD5: 912dda7c1a21c099e6efe6335f1e32c7
avg_error_xy_slice.png Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage PNG Image - 18.0 KB - MD5: eaee0cde51c65eb02d179efe3e071fb3

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

unet_para_f64_d5_k4_pcs_2500dp.zip

Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

ZIP Archive - 813.8 MB -

unet_quad_f64_d5_k4_2500dp.zip

Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

ZIP Archive - 806.9 MB -

unet_stand_f64_d5_k4_2500dp.zip

Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

ZIP Archive - 799.2 MB -

ep_medium_1000dp_only_vary_dist inputs_ks.zip

Dec 19, 2024 - Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks

ZIP Archive - 683.6 MB -

This file contains the dataset prepared for the ConvLSTM for heat plume extension.

args.yaml

Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage

Unknown - 164 B -

args.yaml

Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage

Unknown - 165 B -

avg_error_xy_slice.png

Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage

PNG Image - 17.1 KB -

avg_error_xy_slice.png

Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage

PNG Image - 18.3 KB -

avg_error_xy_slice.png

Nov 26, 2024 - Models and Prepared Datasets for 3D-CNN - First Stage

PNG Image - 18.0 KB -

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