PN 6

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

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3,861 to 3,870 of 4,903 Results

speed-controller-mean-driver-speed-5-1.mp4 Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 5.7 MB - MD5: dbb04668da9fc10831f65c00a356a9af
speed-controller-mean-driver-speed-5-2.mp4 Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 3.8 MB - MD5: 70a9365b01dd74cfdab9bc44f7acb2ad
speed-controller-mean-driver-speed-5-3.mp4 Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 3.3 MB - MD5: 026490a458c5e5be9d87335927503f74
speed-controller-mean-driver-speed-5-4.mp4 Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 3.1 MB - MD5: ae440e264dd1a4e4bd23294f5981f6de
speed-controller-mean-driver-speed-5-5.mp4 Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 3.0 MB - MD5: b587144ccc812bc206fe6e77bc5df8a3
speed-controller-mean-driver-speed-5-6.mp4 Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025) MPEG-4 Video - 5.7 MB - MD5: 93d62b20faf1756ba338d3b31ba3b0a2
Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials Mar 10, 2026 - PN 6A-3 Schäfer, Moritz; Segreto, Nico; Zills, Fabian; Holm, Christian; Kästner, Johannes, 2026, "Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials", https://doi.org/10.18419/DARUS-5007, DaRUS, V1 This repository contains the data for our paper on "Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials". This includes both the simulation results as well as workflows and input files needed to recreate the results. Different experiments are contained on different branches and a more detailed REA...
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
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.
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-mean-driver-speed-5-1.mp4

Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)

MPEG-4 Video - 5.7 MB -

speed-controller-mean-driver-speed-5-2.mp4

Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)

MPEG-4 Video - 3.8 MB -

speed-controller-mean-driver-speed-5-3.mp4

Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)

MPEG-4 Video - 3.3 MB -

speed-controller-mean-driver-speed-5-4.mp4

Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)

MPEG-4 Video - 3.1 MB -

speed-controller-mean-driver-speed-5-5.mp4

Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)

MPEG-4 Video - 3.0 MB -

speed-controller-mean-driver-speed-5-6.mp4

Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)

MPEG-4 Video - 5.7 MB -

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

Mar 10, 2026 - PN 6A-3

Schäfer, Moritz; Segreto, Nico; Zills, Fabian; Holm, Christian; Kästner, Johannes, 2026, "Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials", https://doi.org/10.18419/DARUS-5007, DaRUS, V1

This repository contains the data for our paper on "Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials". This includes both the simulation results as well as workflows and input files needed to recreate the results. Different experiments are contained on different branches and a more detailed REA...

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

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.

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...

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