Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 12 Results
Replication Data for: Entropy production of active matter systems as indicator for computing performance
Sep 4, 2026
Egenlauf, Patrick; Kröninger, Hannes A.; Kung, Arnulf; Gaimann, Mario U.; Klopotek, Miriam, 2026, "Replication Data for: Entropy production of active matter systems as indicator for computing performance", https://doi.org/10.18419/DARUS-6343, DaRUS, V1
This dataset contains all relevant data to reproduce the results of the paper titled "Entropy production of active matter systems as indicator for computing performance". The dataset is organized around three main parameter scans: speed-controller force for the driven system, speed-controller force for the undriven system, and driver repulsion forc...
attractors.tar.xz
Sep 4, 2026 - Replication Data for: Entropy production of active matter systems as indicator for computing performance
XZ Archive - 227.3 GB - MD5: 48235e427754d39c38d8e85bdf30dd53
driver-repulsion-scan.tar.xz
Sep 4, 2026 - Replication Data for: Entropy production of active matter systems as indicator for computing performance
XZ Archive - 842.6 GB - MD5: ac52d5125abe68da39aaab1395902e7b
speed-controller-scan_driven.tar.xz
Sep 4, 2026 - Replication Data for: Entropy production of active matter systems as indicator for computing performance
XZ Archive - 863.5 GB - MD5: 8217dd3fd842e2097bed73ff24c11652
speed-controller-scan_undriven-burnin.tar.xz
Sep 4, 2026 - Replication Data for: Entropy production of active matter systems as indicator for computing performance
XZ Archive - 79.4 GB - MD5: c38f0700a9412060cbf6bf86ef989948
speed-controller-scan_undriven.tar.xz
Sep 4, 2026 - Replication Data for: Entropy production of active matter systems as indicator for computing performance
XZ Archive - 3.9 TB - MD5: 09cc03fbbafa9fafc9a103ec758aa7ef
Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations
Apr 7, 2026
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
constraint-models-test-metrics.tar.xz
Jan 14, 2026 - Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations
XZ Archive - 192.4 MB - MD5: d7a63492600b2bf3283b665bfbba71f1
Data
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.