Replication Data for: Entropy production of active matter systems as indicator for computing performance

Version 1.0
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
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Description

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 force (driven by a Lorenz-63 signal); plus a separate attractors directory for scans using different attractor input driver signals.

Main parameter scans

Each parameter scan folder contains one subdirectory per parameter combination, which in turn contains one subdirectory per random seed:

<parameter_scan>/
├── <parameter_combination>/
│   ├── <seed>/
│   │   ├── reservoir_computer_output.h5
│   │   ├── simulation_output_test_entropy_agent.h5
│   │   └── simulation_output_test.h5
│   ├── <seed>/ ...
│   └── seed_metrics.h5
└── scan_metrics.h5

At the seed level, each directory contains three files:

  • reservoir_computer_output.h5 – all reservoir-computer-related measures
  • simulation_output_test_entropy_agent.h5 – entropy-related metrics, specifically the system entropy rate and heat flow
  • simulation_output_test.h5 – exact positions, velocities, and individual forces for each particle

Each parameter combination directory additionally contains a seed_metrics.h5, aggregating averages and standard deviations across all seeds. Each parameter scan directory contains a scan_metrics.h5, aggregating metrics across the entire scan.

Attractors directory

The attractors directory follows the same structure, containing parameter scans for the different attractor input driver signals (Chua, Rössler, Hénon-Heiles, and Lorenz-96). To reduce storage requirements, some observables not needed for evaluation were omitted from these files.

Subject Physics
Keyword Statistical Physics, Non-Equilibrium, Entropy Production, Many-Body Dynamics, Reservoir Computing
Related Publication Is Supplement To: Egenlauf, P., Kröninger, H. A., Kung, A., Gaimann, M. U., & Klopotek, M. (2026). Entropy production of active matter systems as indicator for computing performance. arXiv preprint.doi: 10.48550/arXiv.2607.29434
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attractors.tar.xz
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driver-repulsion-scan.tar.xz
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MD5: ac52d5125abe68da39aaab1395902e7b
speed-controller-scan_driven.tar.xz
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Published Sep 4, 2026
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speed-controller-scan_undriven-burnin.tar.xz
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Published Sep 4, 2026
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MD5: c38f0700a9412060cbf6bf86ef989948
speed-controller-scan_undriven.tar.xz
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Published Sep 4, 2026
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MD5: 09cc03fbbafa9fafc9a103ec758aa7ef
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Curation Status History
StatusDateAssigner
2026-09-04 10:29:08Max Häußler
In Review by FoKUS2026-09-04 10:26:00Florian Fritze
Waiting for Feedback from Author2026-09-03 05:04:20Florian Fritze
In Review by FoKUS2026-09-01 20:30:56Dataverse Admin
Waiting for Feedback from Author2026-08-27 10:33:20Florian Fritze
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