151 to 160 of 867 Results
May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 6.0 GB -
MD5: 7de0f6a13ca4b7a24b2c40b2019f991e
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 6.0 GB -
MD5: 7bc66ad66ed13a22c81daeedcbe210f6
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 3.2 GB -
MD5: 00bea9cecce7e090822760f17feb3006
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 139.2 GB -
MD5: 6372fa9db493ff6e9cb0a7974337cbd7
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 2.0 GB -
MD5: 4e6e0a4c959b54202e2f9173301df42b
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 14.0 GB -
MD5: 3fcdfd987f5763cc29127d951372d9e0
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 912.6 MB -
MD5: 77d469c5e9fa18da02fd926b6a3a0c2b
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 2.6 GB -
MD5: f07a3e9f43439809f451a7de7792852a
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 10.0 GB -
MD5: 52377b58959da16211403e79a5d8b942
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Apr 9, 2025 - PN 6A-4
Álvarez Chaves, Manuel, 2025, "Replication Data for: An entropy-based evaluation of conceptual constraints in hybrid hydrological models", https://doi.org/10.18419/DARUS-4920, DaRUS, V1, UNF:6:i3yM0uireOQetNHaTVPKfg== [fileUNF]
Hybrid Models for Hydrology This repository contains code for the paper "When physics gets in the way: an entropy-based evaluation of conceptual constraints in hybrid hydrological models" submitted to Hydrology and Earth Systems Science (HESS). In this repository we have included the 'Hy2DL' and 'unite_toolbox' libraries in the versions they used f... |