PN 6

SimTech EXC 2075 Project Network 6 "Machine learning for simulation"

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.

91 to 100 of 1,126 Results

README.md Mar 10, 2026 - Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials Markdown Text - 1.7 KB - MD5: 6c629d0ba2c2458d0715e224f841059c Explanations for the content and structure of the repository.
apax_paper.tar.gz Mar 10, 2026 - Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials Gzip Archive - 55.2 GB - MD5: 3ec04c90fedc713737e901dcafdc0742 Data complete repository accompaniying the manuscript
Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025) Feb 18, 2026 - PN 6-15 Gaimann, Mario U.; Klopotek, Miriam, 2025, "Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)", https://doi.org/10.18419/DARUS-4619, DaRUS, V2 This dataset contains supplementary videos for the publication "Robustly optimal dynamics for active matter reservoir computing" (Gaimann and Klopotek, 2025) The videos show active matter systems (swarms) driven by an external force. These swarm systems can be used to predict the future trajectory of the external driving force using reservoir compu...
speed-controller-random-uniform-driver-interval-1-1.mp4 Feb 18, 2026 - Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 3.6 MB - MD5: c8f527827e71c34beeea77d8b26c04a1
speed-controller-random-uniform-driver-interval-1-2.mp4 Feb 18, 2026 - Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 3.8 MB - MD5: 892ffcef3e92f7237b48ee0696c33341
speed-controller-random-uniform-driver-interval-1-3.mp4 Feb 18, 2026 - Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 4.2 MB - MD5: 3beb7f59f15b3d4da0fc0c0df282a996
speed-controller-random-uniform-driver-interval-1-4.mp4 Feb 18, 2026 - Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 5.0 MB - MD5: c4d238fae18dd15a1adfdae4f012f296
speed-controller-random-uniform-driver-interval-1-5.mp4 Feb 18, 2026 - Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 7.9 MB - MD5: e2232b6de3b83e5d582400c48431280c
speed-controller-random-uniform-driver-interval-1-6.mp4 Feb 18, 2026 - Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 5.7 MB - MD5: 6eed29660bc7f15e1662157360771479
speed-controller-random-uniform-driver-interval-10-1.mp4 Feb 18, 2026 - Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 3.2 MB - MD5: ba3998ae1e6ad7c32cfbf7ebbb496fac

README.md

Mar 10, 2026 - Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials

Markdown Text - 1.7 KB -

Explanations for the content and structure of the repository.

apax_paper.tar.gz

Mar 10, 2026 - Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials

Gzip Archive - 55.2 GB -

Data

complete repository accompaniying the manuscript

Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)

Feb 18, 2026 - PN 6-15

Gaimann, Mario U.; Klopotek, Miriam, 2025, "Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)", https://doi.org/10.18419/DARUS-4619, DaRUS, V2

This dataset contains supplementary videos for the publication "Robustly optimal dynamics for active matter reservoir computing" (Gaimann and Klopotek, 2025) The videos show active matter systems (swarms) driven by an external force. These swarm systems can be used to predict the future trajectory of the external driving force using reservoir compu...

speed-controller-random-uniform-driver-interval-1-1.mp4

Feb 18, 2026 - Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)

MPEG-4 Video - 3.6 MB -

speed-controller-random-uniform-driver-interval-1-2.mp4

Feb 18, 2026 - Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)

MPEG-4 Video - 3.8 MB -

speed-controller-random-uniform-driver-interval-1-3.mp4

Feb 18, 2026 - Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)

MPEG-4 Video - 4.2 MB -

speed-controller-random-uniform-driver-interval-1-4.mp4

Feb 18, 2026 - Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)

MPEG-4 Video - 5.0 MB -