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741 to 750 of 1,141 Results
viable_parameters.dat
Oct 28, 2025 - Replication Data and Scripts for: A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media
Fixed Field Text Data - 1.7 KB - MD5: 9a6f6d37945225cfeec1d6b020771edb
Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"
Jul 25, 2025 - Holm group
Tovey, Samuel; Nikolaou, Konstantin; Krippendorf, Sven; Holm, Christian; Spannowsky, Michael, 2025, "Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"", https://doi.org/10.18419/DARUS-5175, DaRUS, V1
The scripts provided here are for reproducing the results and plots of "Collective variables of neural networks: empirical time evolution and scaling laws" (https://doi.org/10.1088/2632-2153/adee76)
actor_entropy.npy
Jul 25, 2025 - Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"
Unknown - 3.2 KB - MD5: 3d41fa80a631b2281639cb02efd1fcd3
actor_traces.npy
Jul 25, 2025 - Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"
Unknown - 3.2 KB - MD5: 26cb9dbb21ab479c38a4565e8d533900
agent.py
Jul 25, 2025 - Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"
Python Source Code - 2.5 KB - MD5: a5e16d1429e713c13c3ae3e57473f722
analysis.ipynb
Jul 25, 2025 - Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"
Jupyter Notebook - 12.3 KB - MD5: a0986a474ab9b7aff52e4d610b65af82
analysis.ipynb
Jul 25, 2025 - Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"
Jupyter Notebook - 9.8 KB - MD5: d241a86cedb9b52849bb86804d32db2e
analysis.ipynb
Jul 25, 2025 - Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"
Jupyter Notebook - 12.4 KB - MD5: f37494f544ef04a6700666517a4b90ad
analysis.py
Jul 25, 2025 - Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"
Python Source Code - 4.4 KB - MD5: e07a7379962dab2480ebab06fe6dc54c
analysis.py
Jul 25, 2025 - Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"
Python Source Code - 4.7 KB - MD5: 1c91824f083caa5796d96598d72593cc
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