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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11 to 16 of 16 Results
LGCNN_step1_realK.zip
Jul 4, 2025 - Trained Models on Real Permeability Fields, 4+1 Data Points
ZIP Archive - 177.4 MB - MD5: 78ca4f2b6f5e1fcb4643b9102b55573a
Data
LGCNN_step3_realK.zip
Jul 4, 2025 - Trained Models on Real Permeability Fields, 4+1 Data Points
ZIP Archive - 87.6 MB - MD5: b8507c67b68f7082cdc1c53ece100ca0
Data
LGCNN_step1_randomK.zip
Jul 4, 2025 - Trained Models on Synthetic Permeability Fields, 3+1 Data Points
ZIP Archive - 157.6 MB - MD5: 68fd3a2c83e75684972a2e8dc3cac5ec
LGCNN_step3_randomK.zip
Jul 4, 2025 - Trained Models on Synthetic Permeability Fields, 3+1 Data Points
ZIP Archive - 135.0 MB - MD5: 12b4c1cf242036e444b22762d056a819
vanillaUNet.zip
Jul 4, 2025 - Trained Models on Synthetic Permeability Fields, 3+1 Data Points
ZIP Archive - 697.8 MB - MD5: 197acd0a0e1ae1cfe78aa0367dfea382
dataset_giant_square_100hp_varyK_101dp.zip
Jul 4, 2025 - Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points
ZIP Archive - 152.0 GB - MD5: 220d3d6b7c991f7c6ca0c7e9b3492d83
Data
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