Holm group

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81 to 90 of 264 Results

setup.sh Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning Shell Script - 780 B - MD5: 9d3f5bf316e445ffcbab28fa926f323f
sphere-analysis.ipynb Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning Jupyter Notebook - 902.0 KB - MD5: ee77fc6cae25ddf811e2913238d7c042
submit.sh Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning Shell Script - 1.3 KB - MD5: 3c64988c92a45ca7a39a1e448a30bd16
submit.sh Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning Shell Script - 1.3 KB - MD5: 3c64988c92a45ca7a39a1e448a30bd16
submit.sh Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning Shell Script - 1.3 KB - MD5: 3d4ba2385f8f0d86eb61ec6472baebf6
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.
generating_minimal_training_sets_for_machine_learned_potentials.tar.gz Apr 11, 2024 - Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials Gzip Archive - 1.7 GB - MD5: a7315aa714d0e0dbe2e05e8a275a73dc Data for reproducing paper results.
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
ch3-R_V_C_-Run09_experiment_raw.mp4 Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents" MPEG-4 Video - 297.7 MB - MD5: cf976ecd1f05e68cd22245a4cae70bfc ch3ch6
ch4-F_Cm_C_C_experiment.mp4 Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents" MPEG-4 Video - 20.3 MB - MD5: 6730db9fd208207aaf9dd6d9f50a3c51 ch4

setup.sh

Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning

Shell Script - 780 B -

sphere-analysis.ipynb

Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning

Jupyter Notebook - 902.0 KB -

submit.sh

Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning

Shell Script - 1.3 KB -

submit.sh

Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning

Shell Script - 1.3 KB -

submit.sh

Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning

Shell Script - 1.3 KB -

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.

generating_minimal_training_sets_for_machine_learned_potentials.tar.gz

Apr 11, 2024 - Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials

Gzip Archive - 1.7 GB -

Data for reproducing paper results.

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

ch3-R_V_C_-Run09_experiment_raw.mp4

Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"

MPEG-4 Video - 297.7 MB -

ch3ch6

ch4-F_Cm_C_C_experiment.mp4

Sep 7, 2023 - Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"

MPEG-4 Video - 20.3 MB -

ch4

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