Stuttgart Center for Simulation Science (SC SimTech)

EXC 2075 Project Networks

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151 to 160 of 21,096 Results

1hp_example.png Apr 20, 2026 - Step 1: Single Heat Plume PNG Image - 38.0 KB - MD5: 7a34f8e8c3cb5b2d704d325721404b04
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...
Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software Apr 9, 2026 - Usability and Sustainability of Simulation Software Vinnitchenko, Niklas; Desai, Ishaan; Rodenberg, Benjamin; Hildebrand, Philip; Humbert, Angelika; Uekermann, Benjamin, 2026, "Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software", https://doi.org/10.18419/DARUS-5847, DaRUS, V1 This dataset contains software and result files for the publication: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software in the journal SoftwareX.
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.
Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations Apr 7, 2026 - Coarse-grained non-equilibrium dynamics with generative machine learning Egenlauf, Patrick; Březinová, Iva; Andergassen, Sabine; Klopotek, Miriam, 2026, "Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations", https://doi.org/10.18419/DARUS-5613, DaRUS, V3 This dataset contains all relevant data to reproduce the results of the paper titled "Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations". It contains the exact time series data of the two-particle reduced density matrix (2RDM) for each parameter configuration of the parameter scan, with...
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 Data

1hp_example.png

Apr 20, 2026 - Step 1: Single Heat Plume

PNG Image - 38.0 KB -

1hp_examples_with_colorbar.png

Apr 20, 2026 - Step 1: Single Heat Plume

PNG Image - 71.0 KB -

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...

Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software

Apr 9, 2026 - Usability and Sustainability of Simulation Software

Vinnitchenko, Niklas; Desai, Ishaan; Rodenberg, Benjamin; Hildebrand, Philip; Humbert, Angelika; Uekermann, Benjamin, 2026, "Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software", https://doi.org/10.18419/DARUS-5847, DaRUS, V1

This dataset contains software and result files for the publication: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software in the journal SoftwareX.

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 -

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 -

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 -

Basic information about the dataset.

Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations

Apr 7, 2026 - Coarse-grained non-equilibrium dynamics with generative machine learning

Egenlauf, Patrick; Březinová, Iva; Andergassen, Sabine; Klopotek, Miriam, 2026, "Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations", https://doi.org/10.18419/DARUS-5613, DaRUS, V3

This dataset contains all relevant data to reproduce the results of the paper titled "Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations". It contains the exact time series data of the two-particle reduced density matrix (2RDM) for each parameter configuration of the parameter scan, with...

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 -

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 -

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