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1 to 10 of 14 Results

Replication Data and Scripts for: "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens" Feb 9, 2026 Nikolaou, Konstantin; Tovey, Samuel; Krippendorf, Sven; Holm, Christian, 2026, "Replication Data and Scripts for: "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens"", https://doi.org/10.18419/DARUS-5717, DaRUS, V1 The scripts provided here are for reproducing the results and plots of "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens" (https://doi.org/10.48550/arXiv.2507.05035)
Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning Dec 2, 2025 Fellner, Tobias; Kreplin, David; Tovey, Samuel; Holm, Christian, 2025, "Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning", https://doi.org/10.18419/DARUS-5559, DaRUS, V1, UNF:6:/KCneqwPSHA/bOwlAibpVQ== [fileUNF] The data and scripts provided here are for reproducing the results of "Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning" Mach. Learn.: Sci. Technol. 7 010501 (2026) (doi: 10.1088/2632-2153/ae365f). See the README.md file for details and instructions.
Replication Data and Scripts for: A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media Oct 28, 2025 Reinauer, Alexander; Oberer, Louis; Schlaich, Alexander; Holm, Christian, 2025, "Replication Data and Scripts for: A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media", https://doi.org/10.18419/DARUS-5389, DaRUS, V1 Simulation data and scripts accompanying the paper "A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media". This dataset contains videos, the corresponding data as well as the scripts from evaporation-induced precipitation simulations in model porous media using the lattice Boltzmann method. For detai...
Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws" Jul 25, 2025 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)
Replication Scripts for: "Generating Quantum Reservoir State Representations with Random Matrices" Jan 30, 2025 Fellner, Tobias; Tovey, Samuel; Holm, Christian; Spannowsky, Michael, 2025, "Replication Scripts for: "Generating Quantum Reservoir State Representations with Random Matrices"", https://doi.org/10.18419/DARUS-4742, DaRUS, V1, UNF:6:nD61gsDlXntC4Nuq53H6kQ== [fileUNF] The scripts provided here are for reproducing the results of "Generating Quantum Reservoir State Representations with Random Matrices" (https://doi.org/10.48550/arXiv.2404.07278). See the README.md file for details and instructions.
Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining" Oct 16, 2024 Gravelle, Simon; Beyer, David; Brito, Mariano E.; Schlaich, Alexander; Holm, Christian, 2024, "Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining"", https://doi.org/10.18419/DARUS-4494, DaRUS, V1 Simulations and data analysis scripts for the publication "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining". Within gromacs-inputs, two types of GROMACS simulation scripts are provided: all-atom and united-atoms. In both cases, the system is a liquid propane bulk system. See the README file for...
Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning Aug 2, 2024 Tovey, Samuel; Lohrmann, Christoph; Holm, Christian, 2024, "Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning", https://doi.org/10.18419/DARUS-4431, DaRUS, V1 Scripts used in the experiments and analysis presented in the paper.
Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials Apr 11, 2024 Finkbeiner, Jan; Tovey, Samuel; Holm, Christian, 2024, "Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials", https://doi.org/10.18419/DARUS-4099, DaRUS, V1 Data and scripts for replicating results and the investigation presented in the paper. This includes the dft parameters for generating training data, all training and data selection scripts for the neural networks, scripts for running and analysing the production simulations with the trained potentials.
Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents" Sep 7, 2023 Koppenhöfer, Simon, 2023, "Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"", https://doi.org/10.18419/DARUS-3695, DaRUS, V1 The presented videos visualize chosen aspects of 2D simulations with controlled active propelled agents. Some simulations concern agents that find a point (in maze), rotate a rod, rotate rods arranged in a lattice
Scripts and Data for "Towards a phenomenological understanding of neural networks: data" Aug 24, 2023 Tovey, Samuel; Krippendorf, Sven; Nikolaou, Konstantin; Holm, Christian, 2023, "Scripts and Data for "Towards a phenomenological understanding of neural networks: data"", https://doi.org/10.18419/DARUS-3691, DaRUS, V1 Data and scripts to reproduce the plots in the paper. Data is separated into two directories: Surfaces: All data for rebuilding the surfaces rnd-plots: Data to reproduce the rnd plots The scripts, once run, will produce the plots in the paper.

Replication Data and Scripts for: "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens"

Feb 9, 2026

Nikolaou, Konstantin; Tovey, Samuel; Krippendorf, Sven; Holm, Christian, 2026, "Replication Data and Scripts for: "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens"", https://doi.org/10.18419/DARUS-5717, DaRUS, V1

The scripts provided here are for reproducing the results and plots of "Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens" (https://doi.org/10.48550/arXiv.2507.05035)

Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning

Dec 2, 2025

Fellner, Tobias; Kreplin, David; Tovey, Samuel; Holm, Christian, 2025, "Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning", https://doi.org/10.18419/DARUS-5559, DaRUS, V1, UNF:6:/KCneqwPSHA/bOwlAibpVQ== [fileUNF]

The data and scripts provided here are for reproducing the results of "Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning" Mach. Learn.: Sci. Technol. 7 010501 (2026) (doi: 10.1088/2632-2153/ae365f). See the README.md file for details and instructions.

Replication Data and Scripts for: A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media

Oct 28, 2025

Reinauer, Alexander; Oberer, Louis; Schlaich, Alexander; Holm, Christian, 2025, "Replication Data and Scripts for: A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media", https://doi.org/10.18419/DARUS-5389, DaRUS, V1

Simulation data and scripts accompanying the paper "A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media". This dataset contains videos, the corresponding data as well as the scripts from evaporation-induced precipitation simulations in model porous media using the lattice Boltzmann method. For detai...

Replication Scripts for: "Collective variables of neural networks: empirical time evolution and scaling laws"

Jul 25, 2025

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)

Replication Scripts for: "Generating Quantum Reservoir State Representations with Random Matrices"

Jan 30, 2025

Fellner, Tobias; Tovey, Samuel; Holm, Christian; Spannowsky, Michael, 2025, "Replication Scripts for: "Generating Quantum Reservoir State Representations with Random Matrices"", https://doi.org/10.18419/DARUS-4742, DaRUS, V1, UNF:6:nD61gsDlXntC4Nuq53H6kQ== [fileUNF]

The scripts provided here are for reproducing the results of "Generating Quantum Reservoir State Representations with Random Matrices" (https://doi.org/10.48550/arXiv.2404.07278). See the README.md file for details and instructions.

Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining"

Oct 16, 2024

Gravelle, Simon; Beyer, David; Brito, Mariano E.; Schlaich, Alexander; Holm, Christian, 2024, "Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining"", https://doi.org/10.18419/DARUS-4494, DaRUS, V1

Simulations and data analysis scripts for the publication "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining". Within gromacs-inputs, two types of GROMACS simulation scripts are provided: all-atom and united-atoms. In both cases, the system is a liquid propane bulk system. See the README file for...

Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning

Aug 2, 2024

Tovey, Samuel; Lohrmann, Christoph; Holm, Christian, 2024, "Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning", https://doi.org/10.18419/DARUS-4431, DaRUS, V1

Scripts used in the experiments and analysis presented in the paper.

Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials

Apr 11, 2024

Finkbeiner, Jan; Tovey, Samuel; Holm, Christian, 2024, "Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials", https://doi.org/10.18419/DARUS-4099, DaRUS, V1

Data and scripts for replicating results and the investigation presented in the paper. This includes the dft parameters for generating training data, all training and data selection scripts for the neural networks, scripts for running and analysing the production simulations with the trained potentials.

Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"

Sep 7, 2023

Koppenhöfer, Simon, 2023, "Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"", https://doi.org/10.18419/DARUS-3695, DaRUS, V1

The presented videos visualize chosen aspects of 2D simulations with controlled active propelled agents. Some simulations concern agents that find a point (in maze), rotate a rod, rotate rods arranged in a lattice

Scripts and Data for "Towards a phenomenological understanding of neural networks: data"

Aug 24, 2023

Tovey, Samuel; Krippendorf, Sven; Nikolaou, Konstantin; Holm, Christian, 2023, "Scripts and Data for "Towards a phenomenological understanding of neural networks: data"", https://doi.org/10.18419/DARUS-3691, DaRUS, V1

Data and scripts to reproduce the plots in the paper. Data is separated into two directories: Surfaces: All data for rebuilding the surfaces rnd-plots: Data to reproduce the rnd plots The scripts, once run, will produce the plots in the paper.

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