%0 Generic %1 pelzer2025trained %A Pelzer, Julia %A Verburg, Corné %A Schulte, Miriam %D 2025 %K %R 10.18419/darus-5081 %T Trained Vanilla Models on Synthetic Permeability Fields, 101 Data Points %X Models are trained with [git: DDUNet] on 101 data points (dp). Both, vanilla UNet and DDU-Net, can be applied directly end-to-end.For inference follow the guidelines of Heat Plume Prediction to prepare raw data, then apply the models as described in [git: DDUNet].Based on raw data from https://doi.org/10.18419/darus-5064.

@misc{pelzer2025trained, abstract = {Models are trained with [git: DDUNet] on 101 data points (dp). Both, vanilla UNet and DDU-Net, can be applied directly end-to-end.For inference follow the guidelines of Heat Plume Prediction to prepare raw data, then apply the models as described in [git: DDUNet].Based on raw data from https://doi.org/10.18419/darus-5064. }, added-at = {2025-07-09T14:58:53.000+0200}, affiliation = {Pelzer, Julia/University of Stuttgart, Verburg, Corné/Delft University of Technology}, author = {Pelzer, Julia and Verburg, Corné and Schulte, Miriam}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/26495f2998f181bb22abf7f49ff64456f/jpelzer}, doi = {10.18419/darus-5081}, howpublished = {Dataset}, interhash = {9687359a269b6da38a66c57ba9373457}, intrahash = {6495f2998f181bb22abf7f49ff64456f}, keywords = {}, note = {Related to: Pelzer, Julia and Verburg, Corné and Heinlein, Alexander and Schulte, Miriam. "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport". 2025. Submitted}, orcid-numbers = {Pelzer, Julia/https://orcid.org/0009-0003-1727-9626, Verburg, Corné/https://orcid.org/0009-0001-6343-6990}, timestamp = {2025-07-09T12:58:53.000+0200}, title = {Trained Vanilla Models on Synthetic Permeability Fields, 101 Data Points}, year = 2025 }