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nhp_example.png
nhp_example.png
Apr 20, 2026 - Step 3: Scaled-up Domain and Interactions of Heat Plumes
PNG Image - 868.7 KB - MD5: 9798e1755252d6b653a401403a2c47d4
2hp_example.png
2hp_example.png
Apr 20, 2026 - Step 2: Two Interacting Heat Plumes
PNG Image - 54.4 KB - MD5: f66727225c30b8a646b207e6e752c74c
1hp_example.png
1hp_example.png
Apr 20, 2026 - Step 1: Single Heat Plume
PNG Image - 38.0 KB - MD5: 7a34f8e8c3cb5b2d704d325721404b04
1hp_examples_with_colorbar.png
1hp_examples_with_colorbar.png
Apr 20, 2026 - Step 1: Single Heat Plume
PNG Image - 71.0 KB - MD5: 6242d00ea35d3b8f04837f9201af099f
Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling(Universität Stuttgart)
Apr 14, 2026Surrogate models for groundwater flow simulations
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...
fenicsx-adapter-1.0.0.tar.gz
Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software
Gzip Archive - 28.1 KB - MD5: e68384b0ff72653c5c9d28544504577c
Source code of FEniCSx-preCICE: a preCICE adapter for FEniCSx
test-cases.tar.gz
Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software
Gzip Archive - 3.4 MB - MD5: 7bd5e4f64112d8de203a97ce2939bb9d
Test cases with full setups.
README.md
Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software
Markdown Text - 784 B - MD5: a7b927cd70146ec49ae5b09bb329f3dd
Basic information about the dataset.
supplementary-material-benchmark-NODE-TD2RDM.pdf
Apr 7, 2026 - Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations
Adobe PDF - 154.3 KB - MD5: dc08273407457c0ad46e22702469d37c
Benchmark comparison between the predictions of the neural ODE and the TD2RDM.
hyper-parameter-optimized-line-scan-test-metrics.tar.xz
Mar 23, 2026 - Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations
XZ Archive - 906.4 MB - MD5: 8f45f1013c492d36b6335c7b9fa1b3e2
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